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A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Temporal Ontology Representation and Reasoning Using Ordinals and Sets for Historical Events

Authors : Myung-Duk Hong, Kyeong-Jin Oh, Seung-Hyun Go, Geun-Sik Jo

Published in: Intelligent Information and Database Systems

Publisher: Springer Berlin Heidelberg

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Abstract

In question-and-answer (QA) systems, various queries need to be processed. In particular, those queries such as temporal information require complex query generation processes. This paper proposes a temporal representation model that can support qualitative and quantitative temporal information on historical ontology by applying the concept of ordinals and sets and introduces operators that allow a QA system to easily handle complex temporal queries. To verify the effectiveness of the proposed model and operators, historical scenarios are presented to show that they can effectively handle complex temporal queries.

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previous chapter Preliminary Evaluation of Multilevel Ontology Integration on the Concept Level
next chapter Measuring Propagation Phenomena in Social Networks: Promising Directions and Open Issues
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Metadata
Title
Temporal Ontology Representation and Reasoning Using Ordinals and Sets for Historical Events
Authors
Myung-Duk Hong
Kyeong-Jin Oh
Seung-Hyun Go
Geun-Sik Jo
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
Intelligent Information and Database Systems

Print ISBN: 978-3-662-49380-9

Electronic ISBN: 978-3-662-49381-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-49381-6_8

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