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Semantics in the Deep: Semantic Analytics for Big Data [PDF]
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
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics. [PDF]
Li A+4 more
europepmc +3 more sources
Geospatial and Temporal Semantic Analytics [PDF]
Geospatial and Temporal Semantic Analytics Matthew Perry, Amit Sheth, Ismailcem Budak Arpinar Large Scale Distributed Information Systems Lab, The University of Georgia, Athens ...
Matthew Perry+3 more
semanticscholar +5 more sources
Semantic Trajectory Analytics and Recommender Systems in Cultural Spaces
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
SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS [PDF]
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
Hegel's Dialectics as a Semantic Theory: An Analytic Reading [PDF]
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
Semantic Analytics Visualization
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.
L. Deligiannidis+2 more
semanticscholar +6 more sources
Distributed Semantic Analytics Using the SANSA Stack
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.
Jens Lehmann+10 more
semanticscholar +3 more sources
People Analytics of Semantic Web Human Resource Résumés for Sustainable Talent Acquisition [PDF]
The purpose of this study was to define a data science architecture for talent acquisition. The approach was to propose analytics that derive data.
Sabina-Cristiana Necula+1 more
openalex +2 more sources
Geospatial Ontology Development and Semantic Analytics
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 ...
I. Arpinar+5 more
semanticscholar +6 more sources