Meta-Level Properties for Reasoning on Dynamic Data

Yuting Zhao, Guido Vetere, Jeff Z. Pan, Alessandro Faraotti, Marco Monti, Honghan Wu

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Abstract

Dynamic features are important for data processing when dealing with real applications. In this paper we introduce a methodology for validating the construction of ontological knowledge base and optimising the query answering with such ontologies. In this paper, we firstly introduce some meta-properties of dynamic for ontologies. These meta-properties impose several constraints on the taxonomic structure of an ontology. We then investigate how to build up a meta-ontology with the constrains on these meta-properties. The goal of our methodology is not to help on providing strict logical conditions for judging inconsistency, but rather to help as heuristics for validating ontologies. Furthermore, some results on how to improve the reasoning on dynamic data by using these properties are also introduced.
Original languageEnglish
Title of host publicationJoint International Semantic Technology Conference
Subtitle of host publicationJIST 2015: Semantic Technology
PublisherSpringer, Cham
Pages271-279
ISBN (Electronic)978-3-319-31676-5
ISBN (Print) Print ISBN 978-3-319-31675-8
DOIs
Publication statusPublished - 20 Mar 2016

Publication series

NameSemantic Technology
Volume9544
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint Dive into the research topics of 'Meta-Level Properties for Reasoning on Dynamic Data'. Together they form a unique fingerprint.

Cite this