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How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics. [PDF]
Comput Environ Urban Syst, 2021 Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by
Li A +4 more
europepmc +2 more sources
Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces
Big Data and Cognitive Computing, 2021 Semantic trajectory analytics and personalised recommender systems that enhance user experience are modern research topics that are increasingly getting attention.
Sotiris Angelis +2 more
doaj +2 more sources
Semantics in the Deep: Semantic Analytics for Big Data [PDF]
Data, 2019 One cannot help but classify the continuous birth and demise of Artificial Intelligence (AI) trends into the everlasting theme of the battle between connectionist and symbolic AI [...]
Dimitrios Koutsomitropoulos +2 more
doaj +3 more sources
Semantic Analytics Visualization
Intelligence and Security Informatics, 2006 In this paper we present a new tool for semantic analytics through 3D visualization called “Semantic Analytics Visualization” (SAV). It has the capability for visualizing ontologies and meta-data including annotated web-documents, images, and digital media such as audio and video clips in a synthetic three-dimensional semi-immersive environment.
Deligiannidis, Leonidas +2 more
openaire +5 more sources
Distributed Semantic Analytics Using the SANSA Stack
International Workshop on the Semantic Web, 2017 A major research challenge is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and reasoning. Analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases, and most analytics approaches which do scale horizontally (i.e.
Lehmann, Jens +10 more
openaire +2 more sources
Geospatial and Temporal Semantic Analytics [PDF]
, 2009 The amount of digital data available to researchers and knowledge workers has grown tremendously in recent years. This is especially true in the geography domain. As the amount of data grows, problems of data relevance and information overload become more severe. The use of semantics has been proposed to combat these problems (Berners-Lee et al., 2001;
Perry, Matthew +3 more
openaire +4 more sources
Geospatial Ontology Development and Semantic Analytics
Transactions in GIS, 2006 Geospatial ontology development and semantic knowledge discovery addresses the need for modeling, analyzing and visualizing multimodal information, and is unique in offering integrated analytics that encompasses spatial, temporal and thematic dimensions of information and knowledge. The comprehensive ability to provide integrated analysis from multiple
Arpinar, I. Budak +5 more
openaire +5 more sources
Leveraging deep contrastive learning for semantic interaction [PDF]
PeerJ Computer Science, 2022 The semantic interaction process seeks to elicit a user’s mental model as they interact with and query visualizations during a sense-making activity.
Mahdi Belcaid +2 more
doaj +2 more sources
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
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A Web3.0-based Intelligent Learning System Supporting Education in the 21st Century [PDF]
Journal of Universal Computer Science, 2019 The aim of the paper is to describe the design of a Web 3.0-based Intelligent Learning System (ILS) that addressing the students' needs in the 21st century.
Khaled Halimi +1 more
doaj +3 more sources