Academic literature on the topic 'Temporal Semantic Web'
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Journal articles on the topic "Temporal Semantic Web"
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Shin, In-Su, Su-Jeong Kim, Jeong-Joon Kim, and Ki-Joon Han. "Spatio-Temporal Semantic Sensor Web based on SSNO." Journal of Korea Spatial Information Society 22, no. 5 (2014): 9–18. http://dx.doi.org/10.12672/ksis.2014.22.5.009.
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Batsakis, Sotiris, Ilias Tachmazidis, and Grigoris Antoniou. "Representing Time and Space for the Semantic Web." International Journal on Artificial Intelligence Tools 26, no. 03 (2017): 1750015. http://dx.doi.org/10.1142/s0218213017600156.
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Representation of temporal and spatial information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before” or “overlaps”) since precise dates or coordinates are not always available. This work proposes several temporal representations for time points and intervals and spatial topological representations in ontologies by means of OWL properties and reasoning rules in SWRL. All representations are fully compliant with existing Semantic Web standards and W3C recommendations. Although qualitative representations for temporal interval and point relations and spatial topological relations exist, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. The proposed approach is applied to topological relations (RCC5 and RCC8) supporting both qualitative and quantitative (i.e., using coordinates) spatial relations. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge, this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal and spatial representations. In addition to the above, querying performance using SPARQL is evaluated. Evaluation results demonstrate that extracting qualitative relations from quantitative representations using reasoning rules and querying qualitative relations instead of directly querying quantitative representations increases performance at query time.
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Nguyen Mau Quoc, Hoan, Martin Serrano, Han Mau Nguyen, John G. Breslin, and Danh Le-Phuoc. "EAGLE—A Scalable Query Processing Engine for Linked Sensor Data." Sensors 19, no. 20 (2019): 4362. http://dx.doi.org/10.3390/s19204362.
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Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships and unfortunately paid less attention to spatio–temporal correlations. Most semantic approaches do not have spatio–temporal support. Some of them have attempted to provide full spatio–temporal support, but have poor performance for complex spatio–temporal aggregate queries. In addition, while the volume of sensor data is rapidly growing, the challenge of querying and managing the massive volumes of data generated by sensing devices still remains unsolved. In this article, we introduce EAGLE, a spatio–temporal query engine for querying sensor data based on the linked data model. The ultimate goal of EAGLE is to provide an elastic and scalable system which allows fast searching and analysis with respect to the relationships of space, time and semantics in sensor data. We also extend SPARQL with a set of new query operators in order to support spatio–temporal computing in the linked sensor data context.
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Liang, Yimeng, and Jun Zhang. "Semantic Web-Enhanced Reinforcement Learning Model for Urban Planning Optimization." International Journal on Semantic Web and Information Systems 21, no. 1 (2025): 1–20. https://doi.org/10.4018/ijswis.371755.
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As urbanization accelerates, urban planning is essential for enhancing quality of life and sustainability. Current methods struggle with complex spatiotemporal data, limiting real-time feature capture and strategy adjustments. To address this, we propose the Semantic Web-Enhanced Reinforcement Learning-based Urban Planning Optimization Model (SWRL-UPOM). Integrating Semantic Web technologies with Spatio-Temporal Adaptive Multimodal Graph Convolutional Network (STAMFGCN) and Spatio-Temporal Gated Hierarchical Attention LSTM (STGHALSTM), SWRL-UPOM uses reinforcement learning to optimize strategies dynamically. STAMFGCN extracts complex inter-regional relationships from multimodal data, while STGHALSTM models and predicts spatiotemporal pollution evolution. Leveraging Semantic Web for structured data and reasoning, the RL framework iteratively updates strategies based on predicted pollution trends. Experiments show SWRL-UPOM outperforms traditional methods in pollution prediction, strategy optimization, and adaptability to dynamic changes.
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He, Yanzheng, Pengjun Wang, Xiaochun Guan, and Han Li. "Web-Based Semantic Framework for Enhanced Human Motion Prediction With MSTIA-Net." International Journal on Semantic Web and Information Systems 21, no. 1 (2025): 1–17. https://doi.org/10.4018/ijswis.368221.
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Researchers in human motion prediction have focused on mathematical modeling of the human skeletal structure, often overlooking the spatio-temporal characteristics of human pose sequences. To address this, we propose the multi-scale spatio-temporal information aggregation net (MSTIA-Net), which includes two key modules: the graph convolutional spatio-temporal information aggregation (GCSTIA) module and the windowed discrete cosine transform (WDCT) temporal encoding module. GCSTIA extracts and integrates multi-scale temporal and spatial features of human motion sequences, while WDCT removes high-frequency noise and compresses data. model's efficacy is demonstrated on three datasets: Human3.6, CMU, and 3DPW, achieving performance improvements of 2.4%, 4.1%, and 1.7%, respectively.
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Xu, Zheng, Yunhuai Liu, Lin Mei, Chuanping Hu, and Lan Chen. "Generating temporal semantic context of concepts using web search engines." Journal of Network and Computer Applications 43 (August 2014): 42–55. http://dx.doi.org/10.1016/j.jnca.2014.04.002.
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Tansel, Abdullah Uz, Di Wu, and Hsien-Tseng Wang. "Time Travel with the BiTemporal RDF Model." Mathematics 13, no. 13 (2025): 2109. https://doi.org/10.3390/math13132109.
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The Internet is not just used for communication, transactions, and cloud storage; it also serves as a massive knowledge store where both people and machines can create, analyze, and use data and information. The Semantic Web was designed to enable machines to interpret the meaning of data, facilitating more informed and autonomous decision-making. The foundation of the Semantic Web is the Resource Description Framework (RDF). The standard RDF is limited to representing simple binary relationships in the form of the <subjectpredicateobject> triple. In this paper, we present a new data model called BiTemporal RDF (BiTRDF), which adds valid time and transaction time to the standard RDF. Our approach treats temporal information as references instead of attributes, simplifying the semantics while enhancing the model’s expressiveness and consistency. BiTRDF treats all resources and relationships as inherently bitemporal, enabling the representation and reasoning of complex temporal relationships in RDF. Illustrative examples demonstrate the model’s support for type propagation, domain-range inference, and transitive relationships in a temporal setting. While this work lays a theoretical foundation, future research will address implementation, query language support, and compatibility with RDF streams and legacy systems.
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Vinasco-Alvarez, D., J. Samuel, S. Servigne, and G. Gesquière. "TOWARDS LIMITING SEMANTIC DATA LOSS IN 4D URBAN DATA SEMANTIC GRAPH GENERATION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W2-2021 (October 7, 2021): 37–44. http://dx.doi.org/10.5194/isprs-annals-viii-4-w2-2021-37-2021.
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Abstract. To enrich urban digital twins and better understand city evolution, the integration of heterogeneous, spatio-temporal data has become a large area of research in the enrichment of 3D and 4D (3D + Time) semantic city models. These models, which can represent the 3D geospatial data of a city and their evolving semantic relations, may require data-driven integration approaches to provide temporal and concurrent views of the urban landscape. However, data integration often requires the transformation or conversion of data into a single shared data format, which can be prone to semantic data loss. To combat this, this paper proposes a model-centric ontology-based data integration approach towards limiting semantic data loss in 4D semantic urban data transformations to semantic graph formats. By integrating the underlying conceptual models of urban data standards, a unified spatio-temporal data model can be created as a network of ontologies. Transformation tools can use this model to map datasets to interoperable semantic graph formats of 4D city models. This paper will firstly illustrate how this approach facilitates the integration of rich 3D geospatial, spatio-temporal urban data and semantic web standards with a focus on limiting semantic data loss. Secondly, this paper will demonstrate how semantic graphs based on these models can be implemented for spatial and temporal queries toward 4D semantic city model enrichment.
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Perez-Garcia, Lorena, Jan Broekaert, and Nicole Note. "The temporal evolution of the normalized web distance." Internet Research 26, no. 5 (2016): 1269–90. http://dx.doi.org/10.1108/intr-07-2014-0185.
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Purpose The purpose of this paper is to assess whether the temporal evolution of the normalized web distance (NWD) between significant terms concerning, e.g., a case of online activism can be used as a meta-data technique to measure evolution over time of, e.g., progress or decline of social empowerment. Design/methodology/approach The NWD between two terms has been identified as a quantitative measure for semantic proximity, ascertaining a defining relation between them. A trend analysis is made by performing on the internet a time window restrained series measurement of NWD of all combinations of key-terms and classifier-terms. Case defining key-terms, positive and negative discourse polarizing classifier-terms, and neutral classifier-terms for negative control need to be determined by discourse analysis of information on a targeted case. An example of NWD evolution from 1994 until 2013 is presented to measure the empowerment effects of the Wirikuta online movement on the Huichol people in Mexico. Findings The application of the NWD temporal evolution method to the Wirikuta case shows a slight but significant semantic change of the key-terms with respect to some of the positive and negative classifier-terms. The neutral classifier correctly shows no significant distance variation, as required for valid application of the method. The method provides indications for a complex image of empowerment of the Huichol identity. Research limitations/implications The accuracy of the method is limited due to short-term and between-user variability of the search tool’s page counts. More reliable access to a web-index will be required for more accurate NWD-based trend analysis. Practical implications The monitoring of temporal NWD evolution provides a potential tool for more comprehensive trend description compared to classical frequency based methods. Originality/value Trend analysis is key to internet research, to which the temporal NWD method provides an innovative contribution.
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Dewa, Rama, and Akbar Habibullah. "Semantic Representation for Health Data with Support to Spatial and Temporal Information." International Journal of Computer Science Issues 15, no. 4 (2018): 22–28. https://doi.org/10.5281/zenodo.1346029.
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Health data is one of information that has a close relationship with the spatial and temporal aspects. Spatial and temporal information has now become a more important component in health data analysis. This is based on the fact that there are an increasing aspect of geographical position and time constraints in public health data. Therefore, health data analysis can produce more meaningful information if the spatial and temporal information are well represented. The present model of spatial temporal representation generally offers model that satisfies only one form of representation, either spatial or temporal. This paper proposes a model of health data representation that supports the aspect of spatial temporal information using semantic web approach. The spatial aspect is represented using RCC8 topology relation and compass direction classification. While the temporal aspect is represented using Allen's temporal relation. Data representation is implemented in the form of ontology documents. The resulting ontology has DL expressivity of SHOIF(D), and has an average inference ratio of 15%.
Dissertations / Theses on the topic "Temporal Semantic Web"
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Perry, Matthew Steven. "A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560.
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RULA, ANISA. "Time-related quality dimensions in linked data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/81717.
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Over the last few years, there has been an increasing di↵usion of Linked Data as a standard way to publish interlinked structured data on the Web, which allows users, and public and private organizations to fully exploit a large amount of data from several domains that were not available in the past. Although gathering and publishing such massive amount of structured data is certainly a step in the right direction, quality still poses a significant obstacle to the uptake of data consumption applications at large-scale. A crucial aspect of quality regards the dynamic nature of Linked Data where information can change rapidly and fail to reflect changes in the real world, thus becoming out-date. Quality is characterised by di↵erent dimensions that capture several aspects of quality such as accuracy, currency, consistency or completeness. In particular, the aspects of Linked Data dynamicity are captured by Time-Related Quality Dimen- sions such as data currency. The assessment of Time-Related Quality Dimensions, which is the task of measuring the quality, is based on temporal information whose collection poses several challenges regarding their availability, representation and diversity in Linked Data. The assessment of Time-Related Quality Dimensions supports data consumers in their decisions whether information are valid or not. The main goal of this thesis is to develop techniques for assessing Time-Related Quality Dimensions in Linked Data, which must overcome several challenges posed by Linked Data such as third-party applications, variety of data, high volume of data or velocity of data. The major contributions of this thesis can be summarized as follows: it presents a general settings of definitions for quality dimensions and measures adopted in Linked Data; it provides a large-scale analysis of approaches for representing temporal information in Linked Data; it provides a sharable and interoperable conceptual model which integrates vocabularies used to represent temporal information required for the assessment of Time-Related Quality Di- mensions; it proposes two domain-independent techniques to assess data currency that work with incomplete or inaccurate temporal information and finally it pro- vides an approach that enrich information with time intervals representing their temporal validity.
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Kilic, Sefa. "Clustering Frequent Navigation Patterns From Website Logs Using Ontology And Temporal Information." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12613979/index.pdf.
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Given set of web pages labeled with ontological items, the level of similarity between two web pages is measured using the level of similarity between ontological items of pages labeled with. Using similarity measure between two pages, degree of similarity between two sequences of web page visits can be calculated as well. Using clustering algorithms, similar frequent sequences are grouped and representative sequences are selected from these groups. A new sequence is compared with all clusters and it is assigned to most similar one. Representatives of the most similar cluster can be used in several real world cases. They can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is analyzed.
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Aydin, Betül. "Connecting Semantic 3D Models to the LOD Cloud for Mobile Applications : discovering the Surroundings with ARCAMA- 3D." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM072/document.
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Découvrir les environs tout en marchant à l'aide d'un appareil mobile est désormais possible en associant les nouvelles technologies telles que la réalité augmentée (RA) et les services basés sur la localisation. De nombreuses applications mobiles ont été conçues à cet effet récemment. Les environs d'un utilisateur en mouvement sont présentés sur l'écran de son appareil mobile en utilisant les données de géo-localisation et elle peut interagir avec son environnement grâce à une couche d'information numérique superposée sur la scène capturée. Toutefois, la quantité d'informations géo-référencées produites et accessibles augmentant chaque jour, il y a un besoin croissant d'une approche générique qui vise à présenter l'information de manière structurée et adaptée aux différents domaines d'application et à la diversité des profils des utilisateurs.Notre travail se concentre sur la définition d'un modèle de données pour les objets 3D destiné à être intégré dans des applications de RA mobiles. Le modèle de données que nous proposons donne accès à l'information spatio-temporelle et thématique disponible sur les objets du monde réel. Alors que la réalité augmentée semble être bien adaptée pour la recherche d'informations à partir de la localisation, la plupart des approches basées sur la RA se concentre sur des scénarios spécifiques à un domaine d'application. D'autre part, le nuage des données ouvertes et liées (LOD Cloud en anglais) est un ensemble en constante extension de données structurées et publiées sur le Web. Il contient donc de grandes quantités d'informations à références spatio-temporelles qui peuvent être exploitées par les applications mobiles et présentées en utilisant la RA pour favoriser l'interaction. Dans notre recherche, ce nuage du Web des Données sert de source principale d'information au cours de l'expérience de découverte des environs à l'aide de la RA proposée à l'utilisateur.À cette fin, nous publions sur le Web les objets 3D correspondant aux objets du monde réel en utilisant notre modèle de données, ce qui permet de les lier avec le nuage du Web des Données. De fait, un objet du monde réel peut être représenté selon trois dimensions d'information : thématique (qui décrit les rôles ou fonctions de l'objet), spatiale (à travers sa géométrie 3D), et temporelle (par la période qui correspond à son existence). De plus, chaque changement dans la vie d'un objet du monde réel est représenté dans le modèle par des informations sémantiques. En conséquence, sur son appareil mobile, l'utilisateur visualise une vue de RA construite avec des modèles 3D légers et transparents. Il peut interagir avec ces objets de RA afin d'accéder aux informations relatives aux objets du monde réel correspondants qui se trouvent aux alentours et vers lesquels il pointe son téléphone mobile. Ces objets de RA permettent à l'utilisateur de construire mentalement la relation référentielle entre les objets virtuels et réels, tandis que le développeur de l'application mobile peut créer des expériences basées sur des thématiques différentes disponibles à travers sur le nuage du Web des Données (architecture, histoire, gastronomie, loisirs, etc.).En nous appuyant sur cette base de connaissances conceptualisée, nous proposons une architecture appelée ARCAMA-3D (Réalité Augmentée et 3D pour les applications mobiles sensibles au contexte), dont les modules permettent aux concepteurs et développeurs de créer leurs propres applications de RA pour différents domaines en étant en mesure d'étendre le modèle de données, de lier les modèles 3D avec d'autres ensembles de données ouvertes et liées disponibles dans le nuage, et d'alimenter ces applications de découverte à partir de sources de données spécifiques. Notre proposition est illustrée sur le cas d'étude que constitue le Monastère Royal de Brou, en France, à travers un scénario de cas d'utilisation pour un utilisateur visitant ce monument historique<br>Discovering the surroundings while walking using a mobile device is now possible by coupling new technologies such as Augmented Reality (AR) and location-based services. Many mobile applications have been designed for that purpose recently. The surroundings of the user are presented on the screen of her mobile device using the location data and she can interact with her environment through a digital information layer superimposed on the captured scene. However, since the amount of geo-referenced information increases every day, there is a growing need for a generic approach that aims at presenting information in a structured manner and adapted to different application domains and users profiles.Our work focuses on the definition of a data model for 3D objects to be used in mobile AR applications. The data model we propose prioritizes access to available spatiotemporal and thematic information about real-world objects. While Augmented Reality appears to be well-suited for searching location-based information, most of the AR approaches focus on domain specific scenarios and we observe that there is no generic data model dedicated to information search and discovery that could be re-used in various AR applications. On the other hand, Linked Open Data (LOD) cloud is an ever-growing set of structured and interlinked datasets published on the Web. It contains vast amounts of spatiotemporal information that can be exploited by location-based mobile applications and presented using AR for fostering interaction. In our research, the LOD cloud serves as a basis for information retrieval during the AR experience of the user.For this purpose, we first publish 3D objects that correspond to real-world objects (buildings, monuments, etc.) on the Web by using our data model and interlink them with data sources on the LOD cloud. Then, using our data model, any real-world object can be represented by three informational dimensions: themes (describing the roles or functions of this object), space (through its 3D geometry), and time (the period linked to its existence). Each change in the life of a real-world object is represented in the model by semantic information following the LOD publishing principles. This allows a binding between the content of our data model and the LOD cloud. As a consequence, on her mobile device, the user visualizes an AR view built with light and transparent 3D models. She can interact with these AR objects in order to access to information related to the corresponding real-world objects of her surroundings she is pointing at. These AR objects allow the user to mentally construct the referential relationships between virtual and real-world objects, while the mobile application developer can create experiences based on different concepts found on the cloud (thematic and temporal concepts, etc.). This way, the LOD cloud, as a growing and updated structured source of semantic data, becomes the main source of information and facilitates knowledge discovery in AR applications.Using this conceptualized knowledge base, we propose our architecture, called ARCAMA-3D (Augmented Reality for Context Aware Mobile Applications with 3D), whose modules allow application designers and developers to create their own AR applications for different domains by being able to extend the data model, bind 3D models with other data sources on the LOD cloud, cover a selected part of LOD and feed their application only with these specific data sources. We develop our ideas working on the case study of the Royal Monastery of Brou, in France, and implement a use case scenario for a user visiting the monastery
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Diallo, Papa Fary. "Aspects socioculturels et temporels dans les ontologies pour les communautés virtuelles." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4055/document.
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Les travaux présentés dans cette thèse concernent la modélisation des aspectssocioculturels et temporels pour permettre aux communautés sénégalaises departager et de co-construire leur connaissances socioculturelles. En effet, avecla mondialisation la nouvelle génération sénégalaise a de moins en moins deconnaissances sur son environnement socioculturel. Ainsi, nous avons initié lamise en place d'une application en ligne pour permettre à nos concitoyens departager et de co-construire leur patrimoine socioculturel.Nos propositions s'appuient sur les technologies du Web social et du Websémantique. En effet, le Web social propose un cadre à tout utilisateur pourparticiper à la création de contenu. Le Web sémantique rend accessible lesressources aux agents logiciels pour une meilleure recherche et partaged'informations. La combinaison de ces deux technologies permet auxcommunautés sénégalaises de partager et de co-construire leur patrimoineculturel dans un cadre collaboratif et sémantique.Nos contributions consistent à (i) proposer des ontologies pour annoter desressources socioculturelles et (ii) proposer un cadre collaboratif auxcommunautés sénégalaises. Les ontologies représentent le socle du Websémantique et permettent de caractériser un domaine. Ainsi, nous avonsdéfini : 1) une ontologie socioculturelle reposant sur la théorie historicoculturellede l'activité et 2) une ontologie temporelle. Nous avons égalementdéfini les communautés de co-élaboration de connaissances culturelles etproposé un prototype qui intègre les différentes contributions<br>Temporal aspects to allow Senegalese communities to share and to co-constructtheir sociocultural knowledge. Indeed, with the globalization it is very commonto meet Senegalese youth knowing more about the geography of the West thanits own country. Thus, to refresh the memory of our fellow citizens, we initiatedthe establishment of an online application that allows them to share and coconstructtheir cultural heritage.Our proposals are based on social and semantic web technologies. indeed,social web proposes a framework where value is created by the aggregation ofmany individual user contributions. The semantic web enables to find, tocombine and to share resources, not only between humans but also betweenmachines. The combination of these two technologies enables Senegalesecommunities to share and co-construct their cultural heritage in a collaborativeand semantic framework.Our contributions include to (i) propose ontologies to annotate socioculturalresources and (ii) provide a collaborative framework to Senegalesecommunities. Ontologies are backbone of the semantic web and allow tocharacterize a domain. Thus, we defined two ontologies : 1) a socioculturalontology based on cultural-historical activity theory and 2) a temporal ontologyto annotate temporally sociocultural resources. We also defined a virtualcommunity called cultural knowledge-building community and proposed aprototype that integrates our contributions
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Jayawardhana, Udaya Kumara. "An ontology-based framework for formulating spatio-temporal influenza (flu) outbreaks from twitter." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1465941275.
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Oliveira, Nathália Ribeiro Schalcher de. "FORMAÇÃO E CUMPRIMENTO DE CONTRATOS ELETRÔNICOS NO SISTEMA DE COMÉRCIO INTELIGENTE - ICS." Universidade Federal do Maranhão, 2004. http://tedebc.ufma.br:8080/jspui/handle/tede/347.
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Previous issue date: 2004-02-27<br>This work is part of the ICS Project, which has been developed in LSI at
UFMA under the coordinator Sofiane Labidi s assistance. The main objective is to
develop an intelligent environment to deal with the last two phases of the ICS
lifecycle: the Formation and Fulfillment of Contracts. The ICS architecture and
environment are presented as well as its development aspects. An implemented
system that uses intelligent agent has the possibility to automatize the mechanism of
closed deal contract among ICS users, as well as the monitoring of its assumed
obligations. We propose the use of patterns and Semantic Web tools to deal with the
information management included in the contracts. Related to the monitoring we
propose a model that makes use of the Temporal Workflow and of active rules based
on the ECAA s paradigm of Active Database System.<br>Este trabalho faz parte do Projeto ICS (Intelligent Commerce System),
atualmente em desenvolvimento no Laboratório de Sistemas Inteligentes (LSI), da
Universidade Federal do Maranhão (UFMA), sob a coordenação do Prof. Dr. Sofiane
Labidi. Possui como objetivo, o desenvolvimento de um ambiente inteligente para
lidar com as últimas duas fases do ciclo de vida do ICS: a Formação e o
Cumprimento dos Contratos. O ambiente e a arquitetura do ICS são apresentados,
inserindo todos os aspectos relativos ao seu desenvolvimento. Um sistema que
possibilita automatizar tanto o mecanismo de contratação dos negócios fechados
entre os usuários do ICS, quanto o monitoramento das obrigações por eles
assumidas, através da utilização de agente inteligente, é implantado. Propomos o
uso de padrões e ferramentas da Web Semântica para lidar com o gerenciamento
das informações contidas nos contratos. Em relação ao monitoramento, propomos
um modelo que faz uso, em conjunto, de Workflow Temporal e de regras ativas
fundamentadas no paradigma ECAA de Sistemas de Banco de Dados Ativos.
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Moussa, Ahmad. "Pour une cohérence du résultat d'un opérateur dans un contexte spatial, temporel et alphanumérique." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR31/document.
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L'information géographique peut être perçue selon trois dimensions : une dimension spatiale (e.g., ville), une dimension temporelle (e.g., date) et une dimension alphanumérique (e.g., population). L'intégration de ces différents types de données est l'un des challenges actuels de la production d'applications permettant la représentation et le traitement d'informations géographiques. Nous nous proposons de contribuer à cette problématique en proposant une méthode afin d'aider à la gestion de la cohérence des données impliquant deux des trois dimensions. Cette cohérence peut se poser après application d'un opérateur sur les informations géographiques. La méthode que nous proposons est basée sur des liens sémantiques entre les dimensions. Une liaison sémantique représente le rapport logique entre les dimensions. Cette liaison associée à des règles de comportement des opérateurs de manipulation, nous permet de garantir la cohérence du modèle de données associé au résultat d’un opérateur<br>Geographic information can be perceived according to three dimensions: a spatial dimension (e.g., city), a temporal dimension (e.g., date) and an alphanumeric dimension (e.g., population). The integration of these various types of data is one of the current challenges in order to model geographic representation and to process geographic information. We contribute to this challenge by proposing a method to help in the management of data coherency involving two on three dimensions. This coherency can be settled after applying an operator on geographic information. Our method is based on semantic links between dimensions. A semantic link represents the logical interaction between (two) dimensions. This connection, associated with a set of rules depending on data manipulation operators, allows us to guarantee the coherency of the data model associated with the result of an operator
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Herradi, Noura. "Représentation sémantique multilingue, multiculturelle et temporelle des relations interpersonnelles, appliquée à une prothèse de mémoire." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1205/document.
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Dans ce travail de thèse, nous proposons une base de connaissances, destinée à une prothèse de mémoire « intelligente », appelée CaptainMemo, qui a pour but d’aider les malades d’Alzheimer, à pallier leurs problèmes de dégénérescence mnésique. Cette base de connaissances est basée sur l’ontologie temporelle, multiculturelle et multilingue PersonLink, permettant à la prothèse de mémoire une représentation sémantique rigoureuse, multilingue et temporelle des liens interpersonnels. L’ontologie PersonLink est déréférençable et présente dans le Web de données.Le multilinguisme et la représentation temporelle sont deux grands sujets de recherche en informatique et en Web sémantique en particulier. Le multilinguisme appliqué à la représentation des relations interpersonnelles requiert un traitement spécifique, car il est lié au multiculturalisme. Par ailleurs, le passage d’une culture/langue à une autre s’avère une grande problématique de recherche. En effet, la traduction littérale n’est pas toujours permise, surtout quand il s’agit des relations interpersonnelles, car elles sont culturellement dépendantes. Dans ce contexte, nous proposons une approche permettant la représentation des ontologies dans plusieurs cultures/langues. Cette approche, en se basant sur un algorithme de traduction, permet le passage d’une culture/langue à une autre sans faire de la traduction littérale mais plutôt une traduction culturelle. Ainsi, en adoptant cette approche, notre ontologie PersonLink permet une représentation exacte des relations interpersonnelles, qui prend en considération l’aspect culturel pour la définition de chaque relation, et lui attribue le terme adéquat selon la langue liée à la culture dans laquelle elle est représentée. Les relations interpersonnels régissent à des règles et contraintes qui les définissent selon chaque culture, ces contraintes sont représentées sémantiquement dans l’ontologie PersonLink via OWL2. Cependant, il est difficile de prendre en considération ces contraintes lors de l’introduction de la dimension temporelle pour représenter les intervalles de temps de ces relations interpersonnelles, surtout quand ces dernières sont diachroniques et leurs intervalles de temps sont qualitatifs. En effet, les modèles et solutions déjà existantes permettent de faire une représentation temporelle des intervalles de temps (ex 4D-Fluents), et de lier entre ces intervalles de temps (ex Relations d’Allen), mais ne prennent pas en considération les contraintes sémantiques des relations interpersonnelles. Dans ce sens, nous proposons une approche qui permet une représentation sémantique, basée sur les contraintes OWL2, pour la représentation des intervalles de temps qualitatifs. Enfin, pour traiter l’intelligence de la prothèse de mémoire CaptainMemo, nous proposons une approche pour le raisonnement sur les intervalles dans le temps. Dans cette approche nous introduisons un ensemble de règles SWRL pour affirmer des relations d’Allen temporelles inférées, permettant aux raisonneurs, tel que Pellet qui prend en charge les règles DL-Safe, d’être employés pour l'inférence et la vérification de la cohérence sur les relations temporelles entre différents intervalles de temps. La table des compositions des relations entre intervalles de temps a ainsi été considérablement réduite, car elle se base sur un ensemble tractable de ces relations, ce qui en résulte un temps de traitement de raisonnement plus réduit<br>In this thesis, we propose a knowledge base for a "smart" memory prosthesis, called CaptainMemo, which aims to help Alzheimer's patients to overcome their memory impairments. This knowledge base is built over the temporal, multicultural and multilingual PersonLink ontology. This ontology gives the memory prosthesis a rigorous, multilingual and temporal semantic representation of interpersonal relationships. The PersonLink ontology is dereferenceable and available in the Linked Data. Multilingualism and temporal representation are two major research topics in computer science and in the Semantic Web in particular.Multilingualism applied to the representation of interpersonal relationships requires specific treatment because it is linked to multiculturalism. In addition, the transition from one culture / language to another is a major research problem. Indeed, literal translation is not always allowed, especially when it comes to interpersonal relationships, because they are culturally dependent. In this context, we propose an approach allowing the representation of ontologies in several cultures / languages. This approach, based on a translation algorithm, allows the transition from one culture / language to another by making a cultural translation rather than a literal one. Thus, by adopting this approach, our PersonLink ontology allows an exact representation of interpersonal relationships, because it takes into consideration the cultural aspect for the definition of each relationship, and assigns the appropriate term according to the language related to this culture. Interpersonal relationships are governed by rules and constraints that define them according to each culture, these constraints are represented semantically in the PersonLink ontology using OWL2. However, it is difficult to consider these constraints when introducing the temporal dimension to represent the time intervals of these interpersonal relationships, especially when these are diachronic and their time intervals are qualitative. Indeed, the legacy models and solutions make it possible to make a temporal representation of the time intervals (e.g. 4D-Fluents), and to link between these time intervals (e.g. Allen Relations), but do not take into account the semantics constraints of interpersonal relationships. In this context, we propose an approach that allows a semantic representation, based on OWL2 constraints, for the representation of qualitative time intervals. Finally, to deal with the intelligence of the CaptainMemo memory prosthesis, we propose an approach for reasoning over time intervals. In this approach we introduce a set of SWRL rules to assert inferred temporal Allen relationships, allowing reasoners, such as Pellet that supports DL-Safe rules, to be used for the inference and the verification of consistency over the temporal relationships between different time intervals. Thus, the table of compositions of the relations between time intervals has been considerably reduced, since it is based on a tractable set of these relations, and, consequently, the processing time of the reasoning becomes shorter
10
Herradi, Noura. "Représentation sémantique multilingue, multiculturelle et temporelle des relations interpersonnelles, appliquée à une prothèse de mémoire." Electronic Thesis or Diss., Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1205.
Full textAbstract:
Dans ce travail de thèse, nous proposons une base de connaissances, destinée à une prothèse de mémoire « intelligente », appelée CaptainMemo, qui a pour but d’aider les malades d’Alzheimer, à pallier leurs problèmes de dégénérescence mnésique. Cette base de connaissances est basée sur l’ontologie temporelle, multiculturelle et multilingue PersonLink, permettant à la prothèse de mémoire une représentation sémantique rigoureuse, multilingue et temporelle des liens interpersonnels. L’ontologie PersonLink est déréférençable et présente dans le Web de données.Le multilinguisme et la représentation temporelle sont deux grands sujets de recherche en informatique et en Web sémantique en particulier. Le multilinguisme appliqué à la représentation des relations interpersonnelles requiert un traitement spécifique, car il est lié au multiculturalisme. Par ailleurs, le passage d’une culture/langue à une autre s’avère une grande problématique de recherche. En effet, la traduction littérale n’est pas toujours permise, surtout quand il s’agit des relations interpersonnelles, car elles sont culturellement dépendantes. Dans ce contexte, nous proposons une approche permettant la représentation des ontologies dans plusieurs cultures/langues. Cette approche, en se basant sur un algorithme de traduction, permet le passage d’une culture/langue à une autre sans faire de la traduction littérale mais plutôt une traduction culturelle. Ainsi, en adoptant cette approche, notre ontologie PersonLink permet une représentation exacte des relations interpersonnelles, qui prend en considération l’aspect culturel pour la définition de chaque relation, et lui attribue le terme adéquat selon la langue liée à la culture dans laquelle elle est représentée. Les relations interpersonnels régissent à des règles et contraintes qui les définissent selon chaque culture, ces contraintes sont représentées sémantiquement dans l’ontologie PersonLink via OWL2. Cependant, il est difficile de prendre en considération ces contraintes lors de l’introduction de la dimension temporelle pour représenter les intervalles de temps de ces relations interpersonnelles, surtout quand ces dernières sont diachroniques et leurs intervalles de temps sont qualitatifs. En effet, les modèles et solutions déjà existantes permettent de faire une représentation temporelle des intervalles de temps (ex 4D-Fluents), et de lier entre ces intervalles de temps (ex Relations d’Allen), mais ne prennent pas en considération les contraintes sémantiques des relations interpersonnelles. Dans ce sens, nous proposons une approche qui permet une représentation sémantique, basée sur les contraintes OWL2, pour la représentation des intervalles de temps qualitatifs. Enfin, pour traiter l’intelligence de la prothèse de mémoire CaptainMemo, nous proposons une approche pour le raisonnement sur les intervalles dans le temps. Dans cette approche nous introduisons un ensemble de règles SWRL pour affirmer des relations d’Allen temporelles inférées, permettant aux raisonneurs, tel que Pellet qui prend en charge les règles DL-Safe, d’être employés pour l'inférence et la vérification de la cohérence sur les relations temporelles entre différents intervalles de temps. La table des compositions des relations entre intervalles de temps a ainsi été considérablement réduite, car elle se base sur un ensemble tractable de ces relations, ce qui en résulte un temps de traitement de raisonnement plus réduit<br>In this thesis, we propose a knowledge base for a "smart" memory prosthesis, called CaptainMemo, which aims to help Alzheimer's patients to overcome their memory impairments. This knowledge base is built over the temporal, multicultural and multilingual PersonLink ontology. This ontology gives the memory prosthesis a rigorous, multilingual and temporal semantic representation of interpersonal relationships. The PersonLink ontology is dereferenceable and available in the Linked Data. Multilingualism and temporal representation are two major research topics in computer science and in the Semantic Web in particular.Multilingualism applied to the representation of interpersonal relationships requires specific treatment because it is linked to multiculturalism. In addition, the transition from one culture / language to another is a major research problem. Indeed, literal translation is not always allowed, especially when it comes to interpersonal relationships, because they are culturally dependent. In this context, we propose an approach allowing the representation of ontologies in several cultures / languages. This approach, based on a translation algorithm, allows the transition from one culture / language to another by making a cultural translation rather than a literal one. Thus, by adopting this approach, our PersonLink ontology allows an exact representation of interpersonal relationships, because it takes into consideration the cultural aspect for the definition of each relationship, and assigns the appropriate term according to the language related to this culture. Interpersonal relationships are governed by rules and constraints that define them according to each culture, these constraints are represented semantically in the PersonLink ontology using OWL2. However, it is difficult to consider these constraints when introducing the temporal dimension to represent the time intervals of these interpersonal relationships, especially when these are diachronic and their time intervals are qualitative. Indeed, the legacy models and solutions make it possible to make a temporal representation of the time intervals (e.g. 4D-Fluents), and to link between these time intervals (e.g. Allen Relations), but do not take into account the semantics constraints of interpersonal relationships. In this context, we propose an approach that allows a semantic representation, based on OWL2 constraints, for the representation of qualitative time intervals. Finally, to deal with the intelligence of the CaptainMemo memory prosthesis, we propose an approach for reasoning over time intervals. In this approach we introduce a set of SWRL rules to assert inferred temporal Allen relationships, allowing reasoners, such as Pellet that supports DL-Safe rules, to be used for the inference and the verification of consistency over the temporal relationships between different time intervals. Thus, the table of compositions of the relations between time intervals has been considerably reduced, since it is based on a tractable set of these relations, and, consequently, the processing time of the reasoning becomes shorter
Books on the topic "Temporal Semantic Web"
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Mills, Caitlin, Arianne Herrera-Bennett, Myrthe Faber, and Kalina Christoff. Why the Mind Wanders. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.42.
Full textAbstract:
This chapter offers a functional account of why the mind—when free from the demands of a task or the constraints of heightened emotions—tends to wander from one topic to another, in a ceaseless and seemingly random fashion. We propose the default variability hypothesis, which builds on William James’s phenomenological account of thought as a form of mental locomotion, as well as on recent advances in cognitive neuroscience and computational modeling. Specifically, the default variability hypothesis proposes that the default mode of mental content production yields the frequent arising of new mental states that have heightened variability of content over time. This heightened variability in the default mode of mental content production may be an adaptive mechanism that (1) enhances episodic memory efficiency through de-correlating individual episodic memories from one another via temporally spaced reactivations, and (2) facilitates semantic knowledge optimization by providing optimal conditions for interleaved learning.
Book chapters on the topic "Temporal Semantic Web"
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Gottschalk, Simon, and Elena Demidova. "EventKG: A Multilingual Event-Centric Temporal Knowledge Graph." In The Semantic Web. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93417-4_18.
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Nguyen, Tu Ngoc, Nattiya Kanhabua, and Wolfgang Nejdl. "Multiple Models for Recommending Temporal Aspects of Entities." In The Semantic Web. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93417-4_30.
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Shbita, Basel, Craig A. Knoblock, Weiwei Duan, Yao-Yi Chiang, Johannes H. Uhl, and Stefan Leyk. "Building Linked Spatio-Temporal Data from Vectorized Historical Maps." In The Semantic Web. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49461-2_24.
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Margara, Alessandro, Gianpaolo Cugola, Dario Collavini, and Daniele Dell’Aglio. "Efficient Temporal Reasoning on Streams of Events with DOTR." In The Semantic Web. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93417-4_25.
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Nayyeri, Mojtaba, Sahar Vahdati, Md Tansen Khan, et al. "Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion." In The Semantic Web. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06981-9_15.
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El Raheb, Katerina, Theofilos Mailis, Vladislav Ryzhikov, Nicolas Papapetrou, and Yannis Ioannidis. "BalOnSe: Temporal Aspects of Dance Movement and Its Ontological Representation." In The Semantic Web. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58451-5_4.
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Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. "TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs." In The Semantic Web – ISWC 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47240-4_25.
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Ding, Zifeng, Zongyue Li, Ruoxia Qi, et al. "ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs." In The Semantic Web – ISWC 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47240-4_29.
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Islakoglu, Duygu Sezen, Melisachew Wudage Chekol, and Yannis Velegrakis. "Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs." In The Semantic Web. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60626-7_4.
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Bettini, Claudio. "Semantic Compression of Temporal Data." In Advances in Web-Age Information Management. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47714-4_25.
Full textConference papers on the topic "Temporal Semantic Web"
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Pan, F. "Temporal aggregates for Web services on the semantic Web." In IEEE International Conference on Web Services (ICWS'05). IEEE, 2005. http://dx.doi.org/10.1109/icws.2005.118.
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Milea, Viorel, Flavius Frasincar, and Uzay Kaymak. "Knowledge Engineering in a Temporal Semantic Web Context." In 2008 8th International Conference on Web Engineering (ICWE). IEEE, 2008. http://dx.doi.org/10.1109/icwe.2008.10.
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Prazeres, Cássio V. S., Cesar A. C. Teixeira, and Maria da Graça C. Pimentel. "Semantic Web Services Discovery by Matching Temporal Restrictions." In 2008 International Symposium on Applications and the Internet. IEEE, 2008. http://dx.doi.org/10.1109/saint.2008.50.
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Zhang, WangFei, CaiRong Yue, and JianGuo Gao. "WebGIS based on semantic grid model and web services." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837515.
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Tan, Liling, and Noam Ordan. "USAAR-CHRONOS: Crawling the Web for Temporal Annotations." In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015). Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/s15-2143.
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Meng Cui, Wei Tai, and Declan O'Sullivan. "Temporal reasoning on Twitter streams using semantic web technologies." In 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). IEEE, 2015. http://dx.doi.org/10.1109/percomw.2015.7134006.
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Andrejev, Andrej, Dimitar Misev, Peter Baumann, and Tore Risch. "Spatio-Temporal Gridded Data Processing on the Semantic Web." In 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS). IEEE, 2015. http://dx.doi.org/10.1109/dsdis.2015.109.
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Zhang, Lirong, Hideo Joho, and Hai-Tao Yu. "Semantic Modelling of Document Focus-Time for Temporal Information Retrieval." In WWW '22: The ACM Web Conference 2022. ACM, 2022. http://dx.doi.org/10.1145/3487553.3524668.
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Xu, Zheng, and Junyu Xuan. "Temporal Learning of Semantic Relations between Concepts Using Web Repository." In 2015 11th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2015. http://dx.doi.org/10.1109/skg.2015.18.
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Silva, Ellen P., Glauco F. Amorim, and Joel A. F. dos Santos. "Adding temporal semantic to textual media objects with eye tracking technology." In WebMedia '19: Brazilian Symposium on Multimedia and the Web. ACM, 2019. http://dx.doi.org/10.1145/3323503.3360636.
Full textReports on the topic "Temporal Semantic Web"
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Bourgaux, Camille, and Anni-Yasmin Turhan. Temporal Query Answering in DL-Lite over Inconsistent Data. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.236.
Full textAbstract:
In ontology-based systems that process data stemming from different sources and that is received over time, as in context-aware systems, reasoning needs to cope with the temporal dimension and should be resilient against inconsistencies in the data. Motivated by such settings, this paper addresses the problem of handling inconsistent data in a temporal version of ontology-based query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositional linear temporal logic and extend to this setting three inconsistency-tolerant semantics that have been introduced for querying inconsistent description logic knowledge bases. We investigate their complexity for DL-LiteR temporal knowledge bases, and furthermore complete the picture for the consistent case.
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Borgwardt, Stefan, Walter Forkel, and Alisa Kovtunova. Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxes. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.223.
Full textAbstract:
Lightweight temporal ontology languages have become a very active field of research in recent years. Many real-world applications, like processing electronic health records (EHRs), inherently contain a temporal dimension, and require efficient reasoning algorithms. Moreover, since medical data is not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. In this paper, we introduce a temporal extension of the tractable language ELH⊥, which features a new class of convex diamond operators that can be used to bridge temporal gaps. We develop a completion algorithm for our logic, which shows that entailment remains tractable. Based on this, we develop a minimal-world semantics for answering metric temporal conjunctive queries with negation. We show that query answering is combined first-order rewritable, and hence in polynomial time in data complexity.