TY - CHAP
T1 - Integrated Ontologies for Spatial Scene Descriptions
AU - Batsakis, Sotirios
AU - Petrakis, Euripides G.M.
N1 - Publisher Copyright:
© 2012 by IGI Global. All rights reserved.
PY - 2012/5/1
Y1 - 2012/5/1
N2 - Scene descriptions are typically expressed in natural language texts and are integrated within Web pages, books, newspapers, and other means of content dissemination. The capabilities of such means can be enhanced to support automated content processing and communication between people or machines by allowing the scene contents to be extracted and expressed in ontologies, a formal syntax rich in semantics interpretable by both people and machines. Ontologies enable more effective querying, reasoning, and general use of content and allow for standardizing the quality and delivery of information across communicating information sources. Ontologies are defined using the well-established standards of the Semantic Web for expressing scene descriptions in application fields such as Geographic Information Systems, medicine, and the World Wide Web (WWW). Ontologies are not only suitable for describing static scenes with static objects (e.g., in photographs) but also enable representation of dynamic events with objects and properties changing in time (e.g., moving objects in a video). Representation of both static and dynamic scenes by ontologies, as well as querying and reasoning over static and dynamic ontologies are important issues for further research. These are exactly the problems this chapter is dealing with.
AB - Scene descriptions are typically expressed in natural language texts and are integrated within Web pages, books, newspapers, and other means of content dissemination. The capabilities of such means can be enhanced to support automated content processing and communication between people or machines by allowing the scene contents to be extracted and expressed in ontologies, a formal syntax rich in semantics interpretable by both people and machines. Ontologies enable more effective querying, reasoning, and general use of content and allow for standardizing the quality and delivery of information across communicating information sources. Ontologies are defined using the well-established standards of the Semantic Web for expressing scene descriptions in application fields such as Geographic Information Systems, medicine, and the World Wide Web (WWW). Ontologies are not only suitable for describing static scenes with static objects (e.g., in photographs) but also enable representation of dynamic events with objects and properties changing in time (e.g., moving objects in a video). Representation of both static and dynamic scenes by ontologies, as well as querying and reasoning over static and dynamic ontologies are important issues for further research. These are exactly the problems this chapter is dealing with.
KW - Integrated Ontologies
KW - Spatial Scene Descriptions
KW - automated content processing
UR - https://www.scopus.com/pages/publications/105013712198
UR - https://www.igi-global.com/book/qualitative-spatio-temporal-representation-reasoning/61658
M3 - Chapter
AN - SCOPUS:105013712198
SN - 9781616928681
SN - 1616928689
T3 - Advances in Geospatial Technologies
SP - 321
EP - 335
BT - Qualitative Spatio-Temporal Representation and Reasoning
A2 - Hazarika , Shyamanta M.
PB - IGI Global
ER -