Representing time for the semantic web

Sotirios Batsakis; Ilias Tachmazidis; Grigoris Antoniou

doi:10.1007/978-3-319-26181-2_1

Representing time for the semantic web

Sotirios Batsakis, Ilias Tachmazidis, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Representation of temporal information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before”), since precise dates are not always available in addition to quantitative defined temporal information. This work proposes several representations for time points and intervals in ontologies by means of OWL properties and reasoning rules in SWRL embedded into the ontology. Although qualitative representations for interval and point relations exist, in addition to quantitative ones, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal representations.

Original language	English
Title of host publication	Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings
Publisher	Springer Verlag
Pages	3-15
Number of pages	13
Volume	9426
ISBN (Print)	9783319261805
DOIs	https://doi.org/10.1007/978-3-319-26181-2_1
Publication status	Published - 2015
Event	9th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence - Fuzhou, China Duration: 13 Nov 2015 → 15 Nov 2015 Conference number: 9 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=43492&copyownerid=31599 (Link to Conference Information)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9426
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	9th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence
Abbreviated title	MIWAI 2015
Country/Territory	China
City	Fuzhou
Period	13/11/15 → 15/11/15
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=43492&copyownerid=31599 (Link to Conference Information)

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10.1007/978-3-319-26181-2_1Licence: Other

Cite this

Batsakis, S., Tachmazidis, I., & Antoniou, G. (2015). Representing time for the semantic web. In Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings (Vol. 9426, pp. 3-15). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9426). Springer Verlag. https://doi.org/10.1007/978-3-319-26181-2_1

Batsakis, Sotirios ; Tachmazidis, Ilias ; Antoniou, Grigoris. / Representing time for the semantic web. Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings. Vol. 9426 Springer Verlag, 2015. pp. 3-15 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Representation of temporal information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before”), since precise dates are not always available in addition to quantitative defined temporal information. This work proposes several representations for time points and intervals in ontologies by means of OWL properties and reasoning rules in SWRL embedded into the ontology. Although qualitative representations for interval and point relations exist, in addition to quantitative ones, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal representations.",

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Batsakis, S , Tachmazidis, I & Antoniou, G 2015, Representing time for the semantic web. in Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings. vol. 9426, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9426, Springer Verlag, pp. 3-15, 9th International Workshop on Multi-Disciplinary Trends in Artificial Intelligence, Fuzhou, China, 13/11/15. https://doi.org/10.1007/978-3-319-26181-2_1

Representing time for the semantic web. / Batsakis, Sotirios ; Tachmazidis, Ilias; Antoniou, Grigoris.

Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings. Vol. 9426 Springer Verlag, 2015. p. 3-15 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9426).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Representing time for the semantic web

AU - Batsakis, Sotirios

AU - Tachmazidis, Ilias

AU - Antoniou, Grigoris

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N2 - Representation of temporal information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before”), since precise dates are not always available in addition to quantitative defined temporal information. This work proposes several representations for time points and intervals in ontologies by means of OWL properties and reasoning rules in SWRL embedded into the ontology. Although qualitative representations for interval and point relations exist, in addition to quantitative ones, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal representations.

AB - Representation of temporal information for the Semantic Web often involves qualitative defined information (i.e., information described using natural language terms such as “before”), since precise dates are not always available in addition to quantitative defined temporal information. This work proposes several representations for time points and intervals in ontologies by means of OWL properties and reasoning rules in SWRL embedded into the ontology. Although qualitative representations for interval and point relations exist, in addition to quantitative ones, this is the first work proposing representations combining qualitative and quantitative information for the Semantic Web. In addition to this, several existing and proposed approaches are compared using different reasoners and experimental results are presented in detail. Experimental results illustrate that reasoning performance differs greatly between different representations and reasoners. To the best of our knowledge this is the first such experimental evaluation of both qualitative and quantitative Semantic Web temporal representations.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Batsakis S , Tachmazidis I, Antoniou G. Representing time for the semantic web. In Multi-disciplinary Trends in Artificial Intelligence - 9th International Workshop, MIWAI 2015, Proceedings. Vol. 9426. Springer Verlag. 2015. p. 3-15. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-26181-2_1

Representing time for the semantic web

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