The semantic web and computer vision: old AI meets new AI

J. L. Mundy; Y. Dong; A. Gilliam; R. Wagner

doi:10.1117/12.2322746

30 April 2018 The semantic web and computer vision: old AI meets new AI

J. L. Mundy, Y. Dong, A. Gilliam, R. Wagner

Proceedings Volume 10648, Automatic Target Recognition XXVIII; 1064805 (2018) https://doi.org/10.1117/12.2322746
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

There has been vast process in linking semantic information across the billions of web pages through the use of ontologies encoded in the Web Ontology Language (OWL) based on the Resource Description Framework (RDF). A prime example is the Wikipedia where the knowledge contained in its more than four million pages is encoded in an ontological database called DBPedia http://wiki.dbpedia.org/. Web-based query tools can retrieve semantic information from DBPedia encoded in interlinked ontologies that can be accessed using natural language. This paper will show how this vast context can be used to automate the process of querying images and other geospatial data in support of report changes in structures and activities. Computer vision algorithms are selected and provided with context based on natural language requests for monitoring and analysis. The resulting reports provide semantically linked observations from images and 3D surface models.

Conference Presentation

Citation Download Citation

J. L. Mundy, Y. Dong, A. Gilliam, and R. Wagner "The semantic web and computer vision: old AI meets new AI ", Proc. SPIE 10648, Automatic Target Recognition XXVIII, 1064805 (30 April 2018); https://doi.org/10.1117/12.2322746

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