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Relevant bibliographies by topics / Temporal Semantic Web

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Academic literature on the topic 'Temporal Semantic Web'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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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

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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 c

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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 strategi

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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 hig

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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 mod

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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 d

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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 combinatio

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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 s

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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

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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 se

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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-référencée

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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 Websémantiqu

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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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Made available in DSpace on 2016-08-17T14:52:51Z (GMT). No. of bitstreams: 1 Nathalia Ribeiro Schalcher de Oliveira.pdf: 789444 bytes, checksum: ab56306fa1e20e633e51fdbf806d48c3 (MD5) 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

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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 appli

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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

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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.

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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

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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.

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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 m

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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.

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Conference 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.

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Reports 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.

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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 se

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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.

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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 com

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