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 +6 more sources
SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 This paper presents the semantic indexing of TerraSAR-X images and in situ data. Image processing together with machine learning methods, relevance feedback techniques, and human expertise are used to annotate the image content into a land use land cover
D. Espinoza Molina, K. Alonso, M. Datcu
doaj +3 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;
Matthew Perry +3 more
openalex +4 more sources
Hegel's Dialectics as a Semantic Theory: An Analytic Reading [PDF]
European Journal of Philosophy, 2007 Just as when I say ‘all animals’, this expression cannot pass for a zoology, so it is equally plain that the words, ‘the Divine’, ‘the Absolute’, ‘the Eternal’, etc., do not express what is contained in them; and only such words, in fact, do express the intuition as something immediate.
Francesco Berto
openalex +3 more sources
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 Li A +4 more
europepmc +2 more sources
Ontologies as the semantic bridge between artificial intelligence and healthcare [PDF]
Frontiers in Digital HealthBackgroundOntologies serve as a foundational bridge between artificial intelligence (AI) and healthcare, enabling structured knowledge frameworks that enhance data interoperability, clinical decision support, and precision medicine.ObjectiveThis ...
Radha Ambalavanan +5 more
doaj +2 more sources
Towards an Extensible and Text-Oriented Analytical Semantic Trajectory Framework
ISPRS International Journal of Geo-InformationSemantically enriched trajectories have attracted growing interest in recent research, driven by the need for more expressive and context-aware movement data analysis.
Damião Ribeiro de Almeida +3 more
doaj +2 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
doaj +1 more source
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