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Journal articles on the topic 'Temporal Semantic Web'

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1

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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Song, Rongxin, Yuanqiao Wen, Wei Tao, Qi Zhang, Eleonora Papadimitriou, and Pieter van Gelder. "Semantic Modeling of Ship Behavior in Cognitive Space." Journal of Marine Science and Engineering 10, no. 10 (2022): 1347. http://dx.doi.org/10.3390/jmse10101347.

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Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it is challenging to recognize it automatically for computers without a proper understanding. For this purpose, this study provides a method to model the behavior for computers from the perspective of knowledge modeling that is explainable. Based on our previous work, a semantic model for ship behavior
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Boumaza, Amel, and Ramdane Maamri. "Mapping OWL-S Process Model to Timed Automata." Journal of Information Technology Research 11, no. 1 (2018): 29–48. http://dx.doi.org/10.4018/jitr.2018010103.

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The conversion of web services to semantic web comes the opportunity to automate various tasks. OWL-S plays a key role in describing web services behaviour. While ontology-based semantics given to OWL-S is structural rather than behaviourally oriented, we cannot automate an essential task in this field, verification. In this article, the mapping of OWL-S process model to Timed automata is investigated, which is a suitable formalism for real time systems modeling and automatic verification. Hence, this has led to not only enabling automatic verification but also covering problems related to aut
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Anim, Joseph, Livio Robaldo, and Adam Z. Wyner. "A SHACL-Based Approach for Enhancing Automated Compliance Checking with RDF Data." Information 15, no. 12 (2024): 759. https://doi.org/10.3390/info15120759.

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Automated Compliance Checking (ACC) has emerged as a critical tool for enforcing legal regulations across various domains. This paper contributes to ongoing research in Semantic Web technologies, particularly focusing on the execution of SHACL-SPARQL rules on RDF data. The RDF, being one of the most widely used knowledge representation (KR) formats, serves as the foundation of our approach, ensuring compatibility with existing standards and enhancing interoperability. Our research enhances the aggregate and temporal aspects of ACC by addressing the limitations of traditional ACC methodologies,
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Grandi, Fabio. "Introducing an annotated bibliography on temporal and evolution aspects in the semantic web." ACM SIGMOD Record 41, no. 4 (2013): 18–21. http://dx.doi.org/10.1145/2430456.2430460.

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Xu, Zheng, Xiangfeng Luo, Shunxiang Zhang, Xiao Wei, Lin Mei, and Chuanping Hu. "Mining temporal explicit and implicit semantic relations between entities using web search engines." Future Generation Computer Systems 37 (July 2014): 468–77. http://dx.doi.org/10.1016/j.future.2013.09.027.

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Zekri, Abir, Zouhaier Brahmia, Fabio Grandi та Rafik Bouaziz. "$$\uptau $$ τ OWL: A Systematic Approach to Temporal Versioning of Semantic Web Ontologies". Journal on Data Semantics 5, № 3 (2016): 141–63. http://dx.doi.org/10.1007/s13740-016-0066-3.

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Straccia, Umberto, Nuno Lopes, Gergely Lukacsy, and Axel Polleres. "A General Framework for Representing and Reasoning with Annotated Semantic Web Data." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1437–42. http://dx.doi.org/10.1609/aaai.v24i1.7499.

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We describe a generic framework for representing and reasoning with annotated Semantic Web data, formalise the annotated language, the corresponding deductive system, and address the query answering problem. We extend previous contributions on RDF annotations by providing a unified reasoning formalism and allowing the seamless combination of different annotation domains. We demonstrate the feasibility of our method by instantiating it on (i) temporal RDF; (ii) fuzzy RDF; (iii) and their combination. A prototype shows that implementing and combining new domains is easy and that RDF stores can e
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G.Ramachandra, Rao, Jayanth Kotte, Srilatha Bellamkonda, Soniya Bikki, and Hemanth Kumar Yenni. "Hybrid Surveillance for Abnormal Behaviour Detection with TST and Semantic AI." International Journal for Modern Trends in Science and Technology 11, no. 04 (2025): 377–82. https://doi.org/10.5281/zenodo.15172061.

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<em>The "Hybrid Surveillance for Abnormal Behaviour Detection with TST and Semantic AI" proposes an advanced framework designed to enhance college safety by detecting abnormal behaviours in surveillance videos through a synergistic integration of deep learning and semantic analysis. The system employs a Temporal Segment Transformers (TST) model, meticulously trained on the UCF-Crime dataset comprising 111,308 images organized into 37,098 temporal segment groups, to analyse video frames grouped into three distinct segments (early, middle, late). Utilizing a pre-trained Vision Transformer (ViT)
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Gantt, William, Lelia Glass, and Aaron Steven White. "Decomposing and Recomposing Event Structure." Transactions of the Association for Computational Linguistics 10 (2022): 17–34. http://dx.doi.org/10.1162/tacl_a_00445.

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Abstract We present an event structure classification empirically derived from inferential properties annotated on sentence- and document-level Universal Decompositional Semantics (UDS) graphs. We induce this classification jointly with semantic role, entity, and event-event relation classifications using a document-level generative model structured by these graphs. To support this induction, we augment existing annotations found in the UDS1.0 dataset, which covers the entirety of the English Web Treebank, with an array of inferential properties capturing fine-grained aspects of the temporal a
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Eom, Sungkwang, and Kyong-Ho Lee. "Incorporating Spatial Queries into Semantic Sensor Streams on the Internet of Things." Journal of Database Management 28, no. 4 (2017): 24–39. http://dx.doi.org/10.4018/jdm.2017100102.

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In the Internet of Things (IoT) environment, the use of sensors and sensor readings is significant in research and industry. The number of sensors is increasing exponentially, adding a tremendous amount of data to the Web. Therefore, the efficient management of sensors and observation data is becoming important. Especially, the location and time of observations are expected to play a vital role in IoT. However, existing researches mainly focus on the temporal properties of data stream. It is necessary to consider the spatial features in addition to the temporal ones. In this article, the autho
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Milivojević, Nataša. "EVENT-CANCELLING SEMANTICS OF THE ENGLISH ASPECTUALIZER START AND ITS SERBIAN EQUIVALENT KRENUTI." Годишњак Филозофског факултета у Новом Саду 46, no. 1 (2021): 31–46. http://dx.doi.org/10.19090/gff.2021.1.31-46.

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The paper revisits the issue of semantic equivalency of two aspectual verbs, start and krenuti, which is proposed by xxx (2021a, 2021b). The present analysis focuses on the causative and dynamic semantic features of start and krenuti, with the aim of a contrastive analysis of the aspectual constructions headed by these two verbs. It is shown that both start and krenuti, provided that the necessary linguistic conditions are met, have the ability to “cancel” the event initiated via constructional phase modification. The conditions for such event-cancelling result from the lexical semantics of st
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Margan, B., and F. Hakimpour. "INTEGRATION OF MOBILE GIS AND LINKED DATA TECHNOLOGY FOR SPATIO-TEMPORAL TRANSPORT DATA MODEL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 721–24. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-721-2019.

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Abstract. Linked Data is available data on the web in a standard format that is useful for content inspection and insights deriving from data through semantic queries. Querying and Exploring spatial and temporal features of various data sources will be facilitated by using Linked Data. In this paper, an application is presented for linking transport data on the web. Data from Google Maps API and OpenStreetMap linked and published on the web. Spatio-Temporal queries were executed over linked transport data and resulted in network and traffic information in accordance with the user’s position. T
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Wisnubhadra, Irya, Safiza Kamal Baharin, Nurul A. Emran, and Djoko Budiyanto Setyohadi. "QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web." Algorithms 14, no. 9 (2021): 265. http://dx.doi.org/10.3390/a14090265.

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The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a path of moving objects at a particular point in time. The Semantic Web (SW) users have published a large number of moving object datasets that include spatial and non-spatial data. These data are available as open data and require advanced analysis to aid in decision making. However, current SW technologies support advanced analysis only for mu
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Jin, Zechen, Yida Zheng, Jun Liu, and Yang Yu. "A Semantic Web-Based Approach for Bat Trajectory Reconstruction With Human Keypoint Information." International Journal on Semantic Web and Information Systems 20, no. 1 (2024): 1–22. http://dx.doi.org/10.4018/ijswis.338999.

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Restoring the trajectory of a bat from a table tennis match video is critical in analyzing a table tennis technique and conducting statistical analysis. However, directly bat location detection in each frame is challenging due to changing shapes caused by varying movement directions and speeds, leading to ambiguity. This paper develops a novel two-stage method. The first stage utilizes YOLO for bat detection in each frame, followed by filtering out erroneous candidate boxes. In the second stage, the authors use a temporal prediction model that integrating human keypoint information and interpo
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Bao, Jie, Uldis Bojars, Ranzeem Choudhury, et al. "Reports of the AAAI 2009 Spring Symposia." AI Magazine 30, no. 3 (2009): 89. http://dx.doi.org/10.1609/aimag.v30i3.2253.

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The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, was pleased to present the 2009 Spring Symposium Series, held Monday through Wednesday, March 23–25, 2009 at Stanford University. The titles of the nine symposia were Agents that Learn from Human Teachers, Benchmarking of Qualitative Spatial and Temporal Reasoning Systems, Experimental Design for Real-World Systems, Human Behavior Modeling, Intelligent Event Processing, Intelligent Narrative Technologies II, Learning by Reading and Learning to Read, Social S
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Cardoso de Oliveira, Caliel, and Thiago Henrique Bragato Barros. "Ontologies and Research Data." Canadian Journal of Information and Library Science 47, no. 2 (2024): 30–38. http://dx.doi.org/10.5206/cjils-rcsib.v47i2.17714.

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This study examines the relationship between ontologies and open research data within the framework of the Semantic Web. The objective is to investigate the interconnectivity of both subjects through scholarly works that offer enhancements to the Web ecosystem and scientific research processes. The paper reviews critical theoretical frameworks related to the Semantic Web and the significance of metadata within this model. It also delves into the function that ontologies can fulfill in the Semantic Web landscape. The paper provides a historical overview of the emergence of ontologies and defini
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Cao, Qiushi, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, and Christoph Reich. "Combining chronicle mining and semantics for predictive maintenance in manufacturing processes." Semantic Web 11, no. 6 (2020): 927–48. http://dx.doi.org/10.3233/sw-200406.

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Within manufacturing processes, faults and failures may cause severe economic loss. With the vision of Industry 4.0, artificial intelligence techniques such as data mining play a crucial role in automatic fault and failure prediction. However, due to the heterogeneous nature of industrial data, data mining results normally lack both machine and human-understandable representation and interpretation of knowledge. This may cause the semantic gap issue, which stands for the incoherence between the knowledge extracted from industrial data and the interpretation of the knowledge from a user. To add
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Goodhue, P., H. McNair, and F. Reitsma. "TRUSTING CROWDSOURCED GEOSPATIAL SEMANTICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 25–28. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-25-2015.

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The degree of trust one can place in information is one of the foremost limitations of crowdsourced geospatial information. As with the development of web technologies, the increased prevalence of semantics associated with geospatial information has increased accessibility and functionality. Semantics also provides an opportunity to extend indicators of trust for crowdsourced geospatial information that have largely focused on spatio-temporal and social aspects of that information. Comparing a feature’s intrinsic and extrinsic properties to associated ontologies provides a means of semanticall
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Janowicz, Krzysztof, Frank Van Harmelen, James A. Hendler, and Pascal Hitzler. "Why the Data Train Needs Semantic Rails." AI Magazine 36, no. 1 (2015): 5–14. http://dx.doi.org/10.1609/aimag.v36i1.2560.

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While catchphrases such as big data, smart data, data-intensive science, or smart dust highlight different aspects, they share a common theme: Namely, a shift towards a data-centric perspective in which the synthesis and analysis of data at an ever-increasing spatial, temporal, and thematic resolution promises new insights, while, at the same time, reducing the need for strong domain theories as starting points. In terms of the envisioned methodologies, those catchphrases tend to emphasize the role of predictive analytics, that is, statistical techniques including data mining and machine learn
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Bolatito, Yusuf Aminat, Junaidu Sahalu Balarabe, Obiniyi Afolayan Ayodele, Aliyu Salisu, and Kana Armand Florentin Donfack. "An Enhanced OWL-Time Ontology for Complex Recurring Temporal Patterns." Kasu Journal of Computer Science 1, no. 2 (2024): 340–65. http://dx.doi.org/10.47514/kjcs/2024.1.2.0013.

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The effective representation of temporal information across various domains using semantic web specifications is crucial for enabling temporal reasoning and facilitating time-oriented queries. However, existing temporal ontologies often lack consistency in time representation within a single ontology and are typically tailored to specific domains, limiting their applicability to complex temporal information. Notably, prominent frameworks like OWL-Time frequently overlook the intricacies of complex recurring temporal features. To address this limitation within OWL-Time, this study introduces OW
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Breitling, Stefan, Tobias Arera-Rütenik, Jürgen Giese, and Leonhard Salzer. "Befundbuch 3.0. Befundansprache und Befundverortung durch semantische Technologien." architectura 50, no. 1-2 (2022): 58–79. http://dx.doi.org/10.1515/atc-2020-1010.

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Abstract Building archaeological findings are the primary sources of historic building research and an important basis for object-oriented interpretation in architectural history. In order to preserve the spatial, temporal and other content-related cross-references and contexts that are particularly valuable for analysis, a loose collection of diverse presentation formats such as descriptive texts, findings sheets, plan drawings and 3D representations has become established. However, this diversity is also a reason for the lack of accessibility and sustainable connectivity of this useful infor
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Vidal-Filho, Jarbas Nunes, Valéria Cesário Times, Jugurta Lisboa-Filho, and Chiara Renso. "Towards the Semantic Enrichment of Trajectories Using Spatial Data Infrastructures." ISPRS International Journal of Geo-Information 10, no. 12 (2021): 825. http://dx.doi.org/10.3390/ijgi10120825.

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The term Semantic Trajectories of Moving Objects (STMO) corresponds to a sequence of spatial-temporal points with associated semantic information (for example, annotations about locations visited by the user or types of transportation used). However, the growth of Big Data generated by users, such as data produced by social networks or collected by an electronic equipment with embedded sensors, causes the STMO to require services and standards for enabling data documentation and ensuring the quality of STMOs. Spatial Data Infrastructures (SDI), on the other hand, provide a shared interoperable
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Milon-Flores, Daniela F., Camille Bernard, Jérôme Gensel, Gregory Giuliani, Bruno Chatenoux, and Hy Dao. "Towards semantic enrichment of Earth Observation data: The LEODS framework." AGILE: GIScience Series 5 (May 30, 2024): 1–12. http://dx.doi.org/10.5194/agile-giss-5-11-2024.

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Abstract. The Earth’s ecosystem is facing serious threats due to the depletion of natural resources and environmental pollution. To promote sustainable practices and formulate effective policies that address these issues, both experts and non-expert stakeholders require access to meaningful Open Data. Current Earth monitoring programs provide a large volume of open Earth Observation (EO) data typically organized and managed in EO Data Cubes (EODCs). From these datasets, satellite-derived indices can be calculated for assessing various environmental aspects in areas of interest over time. Howev
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Li, Yun, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney, and Chaowei Yang. "A Query Understanding Framework for Earth Data Discovery." Applied Sciences 10, no. 3 (2020): 1127. http://dx.doi.org/10.3390/app10031127.

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One longstanding complication with Earth data discovery involves understanding a user’s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and temporal information from a query or understanding the query with ontology. No research in the geospatial domain has investigated user queries in a systematic way. Here, we propose a query understanding framework and apply it to fill the gap by better interpreting a user’s search intent for Earth data search engines and adopting knowledge that was mi
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Zhou, Yuan, Enze Wang, Wantong Yang, et al. "XSShield: Defending Against Stored XSS Attacks Using LLM-Based Semantic Understanding." Applied Sciences 15, no. 6 (2025): 3348. https://doi.org/10.3390/app15063348.

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Cross-site scripting attacks represent one of the major security threats facing web applications, with Stored XSS attacks becoming the predominant form. Compared to reflected XSS, stored XSS attack payloads exhibit temporal and spatial asynchrony between injection and execution, rendering traditional browserside defenses based on request–response differential analysis ineffective. This paper presents XSShield, the first detection framework that leverages a Large Language Model to understand JavaScript semantics to defend against Stored XSS attacks. Through a Prompt Optimizer based on gradient
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Dinesh Deckker and Subhashini Sumanasekara. "From dharma to drama: A Corpus-based exploration of the word Karma in contemporary English." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 1203–23. https://doi.org/10.30574/wjarr.2025.26.3.2292.

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This study examines the semantic evolution, frequency trends, and cultural representation of the term “Karma” in Western English, with a particular focus on corpus-based evidence from the COCA (Corpus of Contemporary American English), NOW (News on the Web), and Google Ngram Viewer. The research aims to explore how the concept of Karma, rooted in Eastern religious and philosophical traditions, has been adopted, adapted, and transformed in Western discourse. Using quantitative methods including frequency counts, collocation analysis, and genre-based distribution tracking, the study examines how
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Murshed, Syed, Ayah Al-Hyari, Jochen Wendel, and Louise Ansart. "Design and Implementation of a 4D Web Application for Analytical Visualization of Smart City Applications." ISPRS International Journal of Geo-Information 7, no. 7 (2018): 276. http://dx.doi.org/10.3390/ijgi7070276.

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Contemporary development of computer hardware and software, WebGIS and geo-web services as well as the availability of semantic 3D city models, facilitate flexible and dynamic implementation of web applications. The aim of this paper is to introduce 4D CANVAS, a web-based application for dynamic visualization of 3D geospatial data for improved decision making in smart city applications. It is based on the Cesium Virtual Globe, an open-source JavaScript library developed with HTML5 and WebGL. At first, different data formats such as JSON, GeoJSON, Cesium Markup Language (CZML) and 3D Tiles are
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Beil, C., M. Kendir, R. Ruhdorfer, and T. H. Kolbe. "DYNAMIC AND WEB-BASED 4D VISUALIZATION OF STREETSPACE ACTIVITIES DERIVED FROM TRAFFIC SIMULATIONS AND SEMANTIC 3D CITY MODELS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W2-2022 (October 14, 2022): 29–36. http://dx.doi.org/10.5194/isprs-annals-x-4-w2-2022-29-2022.

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Abstract. Semantic 3D city models can serve as anchor points for different components of urban digital twins. In addition to static 3D models such as buildings, transportation infrastructure, vegetation, or city furniture, this can also include dynamic processes such as traffic movement or changing traffic signals. Integrating these aspects into a dynamic, realistic, and accessible 4D visualization presents a number of requirements and challenges, which are discussed. While the City Geography Markup Language (CityGML) is a well established OGC standard for modeling and exchanging semantic 3D c
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Delgoshaei, Parastoo, Mohammad Heidarinejad, and Mark A. Austin. "A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning." Sustainability 14, no. 10 (2022): 5810. http://dx.doi.org/10.3390/su14105810.

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Artificial intelligence is set to transform the next generation of intelligent buildings through the application of information and semantic data models and machine learning algorithms. Semantic data models enable the understanding of real-world data for building automation, integration and control applications. This article explored the use of semantic models, a subfield of artificial intelligence, for knowledge representation and reasoning (KRR) across a wide variety of applications in building control, automation and analytics. These KRR-enabled applications include context-aware control of
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Sasson, Elan, Gilad Ravid, and Nava Pliskin. "Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis." Journal of Knowledge Management 21, no. 1 (2017): 132–55. http://dx.doi.org/10.1108/jkm-07-2016-0279.

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Purpose Although acknowledged as a principal dimension in the context of text mining, time has yet to be formally incorporated into the process of visually representing the relationships between keywords in a knowledge domain. This paper aims to develop and validate the feasibility of adding temporal knowledge to a concept map via pair-wise temporal analysis (PTA). Design/methodology/approach The paper presents a temporal trend detection algorithm – vector space model – designed to use objective quantitative pair-wise temporal operators to automatically detect co-occurring hot concepts. This P
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Apollonio, F. I., B. Benedetti, P. Diarte Blasco, M. Gaiani, and A. Guidazzoli. "Pompeya como caso de estudio: La visualización digital aplicada a la arqueología de una ciudad vesubiana." Virtual Archaeology Review 1, no. 1 (2010): 59. http://dx.doi.org/10.4995/var.2010.4773.

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&lt;p&gt;The objective of the experience in Pompeii is to set up an Information System that will enable us to conserve, manage and integrate the data, files and documents gathered at different times and in different areas of the archeological dig; a 3D Unified Information System capable of providing us with a uniform framework for scientific visualization and web-based presentation of the set data -characterized by their heterogeneity- of this city and the Vesuvian Area in general. The final objective will be to facilitate the interpretation, exploration and, finally, analysis of a large volum
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Fisher, Ryan, and Patrick J. Duffley. "A Cognitive-semantic Study of Verbal Complementation with Adjectives Expressing the Emotion of Fear in Canadian English." Cognitive Semantics 5, no. 1 (2019): 121–46. http://dx.doi.org/10.1163/23526416-00501005.

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This paper looks at the variation in Canadian English between to-infinitive and of + gerund-participle complements with six adjectives that have as part of their semantic makeup a notion of fear. Using data from the Strathy Corpus of Canadian English and the Canadian component of the Global Web-Based Corpus of English, it aims to explain the reasons underlying complement selection with these adjectives as well as temporal relations between the emotion expressed by the adjective and that expressed by the complement. The complementation patterns examined in this study are shown to be connected t
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Schiewe, Jochen. "Conceptual framework for enhancing visual change point analysis in generalized multi-temporal displays." Proceedings of the ICA 2 (July 10, 2019): 1–7. http://dx.doi.org/10.5194/ica-proc-2-114-2019.

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&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; Large amounts of point data are being generated and depicted in web maps, in particular promoted by the availability of Volunteered Geographic Information (VGI). This data volume causes usability problems for the visual presentation and exploration, especially by decreasing rendering performance and increasing geometric or semantic point clutter. Typically, generalization techniques are applied in order to overcome these clutter problems. Appropriate constraint-based approaches have been developed for static and single displays.&lt;/p&gt;&lt;p&gt
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Kumar, N. Senthil, and Dinakaran Muruganantham. "Disambiguating the Twitter Stream Entities and Enhancing the Search Operation Using DBpedia Ontology." International Journal of Information Technology and Web Engineering 11, no. 2 (2016): 51–62. http://dx.doi.org/10.4018/ijitwe.2016040104.

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The web and social web is holding the huge amount of unstructured data and makes the searching processing more cumbersome. The principal task here is to migrate the unstructured data into the structured data through the appropriate utilization of named entity detections. The goal of the paper is to automatically build and store the deep knowledge base of important facts and construct the comprehensive details about the facts such as its related named entities, its semantic classes of the entities and its mutual relationship with its temporal context can be thoroughly analyzed and probed. In th
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Sone, Takuro, Shin Kato, Ray Atarashi, Jin Nakazato, Manabu Tsukada, and Hiroshi Esaki. "An Ontology for Spatio-Temporal Media Management and an Interactive Application." Future Internet 15, no. 7 (2023): 225. http://dx.doi.org/10.3390/fi15070225.

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In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to describe spatio-temporal media and the systems that handle them comprehensively. Spatio-temporal media refers to video, audio, and various sensor values recorded together with time and location information. The SDM Ontology can flexibly and precisely represent spatio-temporal media, equipm
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Brumana, R., M. Ioannides, and M. Previtali. "HOLISTIC HERITAGE BUILDING INFORMATION MODELLING (HHBIM): FROM NODES TO HUB NETWORKING, VOCABULARIES AND REPOSITORIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 309–16. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-309-2019.

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&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; HBIM (Heritage Building Information Modelling) can be nowadays considered as part of the digitization process of Cultural Heritage, with the particular characteristics that being born to manage Models and Data within a unique environment they can be inherited to adopt a synergic approach to the cultural Heritage ‘as a whole system’. To this aim they need to overcome gaps and barriers undertaking an holistic approach in many directions. The paper intends to introduce an overview on the meaning of Holistic Heritage Information Building. The attribu
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Breu, Walter. "Interactions Between Lexical, Temporal and Aspectual Meanings." Studies in Language 18, no. 1 (1994): 23–44. http://dx.doi.org/10.1075/sl.18.1.03bre.

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In my paper a universal aspect theory is presented which is based on the integration of the various types of states of affairs into the textual web of descriptions of situations and changes in situations. The states of affairs are thereby grouped according to their boundary characteristics. The grammatical meaning of the verbal aspect interacts with the lexical meaning of a given verb in group-specific ways, so that the kind of interaction in the case of a given aspect opposition can be used in order to classify verbs. In addition to the Slavic aspect opposition of perfective vs. imperfective,
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Aleksiyev, Oleg, Volodymyr Aleksiyev, and Serhii Neronov. "TELEMATIC SYNERGY OF MECHATRONIC SYSTEMS IN TRANSPORT APPLICATIONS." Bulletin of Kharkov National Automobile and Highway University 1, no. 92 (2021): 17. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.1.17-26.

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Problem. The results of fundamental and applied research of computer science and software engineering in industry and transport are considered. Informational socialization is offered to provide knowledge and skills to persons wishing to work in the IT industry. A kind of sensory cognitive representation of the spatial-temporal orientation of transport applications and synergy (performance assessment) of development, updating of applications, support of the semantic site of the transport-road portal of automobile transfer. Goal. Increasing the competitiveness of transport and road organizations
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Southall, Humphrey, Ruth Mostern, and Merrick Lex Berman. "On historical gazetteers." International Journal of Humanities and Arts Computing 5, no. 2 (2011): 127–45. http://dx.doi.org/10.3366/ijhac.2011.0028.

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Gazetteers play an important but largely unsung role in historical research, used with maps to help place people and events in spatial context. Recent years have seen new interest in digital gazetteers as bridges between the geospatial web and the semantic web, but many existing digital gazetteers and data models do not meet the needs of historians, as they focus on physiographic landforms rather than places of cultural meaning or administrative units. Historical researchers need to know about places whose locations are not knowable with certainty. They need to know about alternative names for
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Yousfi, Adam, Érik Andrew Poirier, and Daniel Forgues. "A Core Ontology for Whole Life Costing in Construction Projects." Buildings 15, no. 14 (2025): 2381. https://doi.org/10.3390/buildings15142381.

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Construction projects still face persistent barriers to adopting whole life costing (WLC), such as fragmented data, a lack of standardization, and inadequate tools. This study addresses these limitations by proposing a core ontology for WLC, developed using an ontology design science research methodology. The ontology formalizes WLC knowledge based on ISO 15686-5 and incorporates professional insights from surveys and expert focus groups. Implemented in web ontology language (OWL), it models cost categories, temporal aspects, and discounting logic in a machine-interpretable format. The ontolog
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