Paper Info
Title
A Method for Representing and Querying Temporal Information in OWL
Abstract
Ontologies are becoming a core technology for supporting the sharing, integration, and management of information sources in Semantic Web applications. As critical as ontologies have become, ontology languages such as OWL typically provide minimal support for modeling the complex temporal information often contained in these sources. As a result, ontologies often cannot fully express the temporal knowledge needed by many applications, forcing users and developers to develop ad hoc solutions. In this paper, we present a methodology and a set of tools for representing and querying temporal information in OWL ontologies. The approach uses a lightweight temporal model to encode the temporal dimension of data. It also uses the OWL-based Semantic Web Rule Language (SWRL) and the SWRL-based OWL query language SQWRL to reason with and query the temporal information represented using our model.
Year
DOI
Venue
2010
10.1007/978-3-642-18472-7_8
BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES
Field
DocType
Volume
Ontology (information science),ENCODE,Query language,Information retrieval,Computer science,Semantic Web,Artificial intelligence,Semantic Web Rule Language,Machine learning,Ontology language
Conference
127
ISSN
Citations 
PageRank 
1865-0929
29
1.11
References 
Authors
25
2
Name
Order
Citations
PageRank
Martin J. O'Connor153657.50
Amar K. Das242051.09