Semantic information retrieval on the web

Ebru Sezer; Adnan Yazici; Ünal Yarimaǧan

doi:10.1007/11890393_17

Semantic information retrieval on the web

Ebru Sezer
, Adnan Yazici
, Ünal Yarimaǧan

Middle East Technical University
Hacettepe University

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

2 Citations (Scopus)

Abstract

In this study, a semantic information retrieval system to access web content is proposed. Web pages existing in the web contain not only textual but also visual data. When textual and visual data are combined, the semantics of the information presented in a web page becomes richer. Consequently, types of text body and visual data are queried as one entity in a single query sentence to improve the precision, recall and r_norm parameters of a web query. Fuzzy domain ontology to fill the gap between raw content and semantic features is used, and a model namely OAC (Object, Action and Concept) is proposed. The core of our system is the OAC Model used for fuzzy domain ontology derivation. The OAC Model serves both images and texts, equally. Several experiments are carried out on selected real web pages, and good results are obtained.

Original language	English
Title of host publication	Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings
Publisher	Springer Verlag
Pages	158-167
Number of pages	10
ISBN (Print)	3540462910, 9783540462910
DOIs	https://doi.org/10.1007/11890393_17
Publication status	Published - 2006
Event	4th International Conference on Advances in Information Systems, ADVIS 2006 - Izmir, Turkey Duration: 18 Oct 2006 → 20 Oct 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4243 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Advances in Information Systems, ADVIS 2006
Country/Territory	Turkey
City	Izmir
Period	18/10/06 → 20/10/06

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10.1007/11890393_17

Cite this

Sezer, E., Yazici, A., & Yarimaǧan, Ü. (2006). Semantic information retrieval on the web. In Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings (pp. 158-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4243 LNCS). Springer Verlag. https://doi.org/10.1007/11890393_17

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title = "Semantic information retrieval on the web",

abstract = "In this study, a semantic information retrieval system to access web content is proposed. Web pages existing in the web contain not only textual but also visual data. When textual and visual data are combined, the semantics of the information presented in a web page becomes richer. Consequently, types of text body and visual data are queried as one entity in a single query sentence to improve the precision, recall and rnorm parameters of a web query. Fuzzy domain ontology to fill the gap between raw content and semantic features is used, and a model namely OAC (Object, Action and Concept) is proposed. The core of our system is the OAC Model used for fuzzy domain ontology derivation. The OAC Model serves both images and texts, equally. Several experiments are carried out on selected real web pages, and good results are obtained.",

author = "Ebru Sezer and Adnan Yazici and {\"U}nal Yarimaǧan",

year = "2006",

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language = "English",

isbn = "3540462910",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "158--167",

booktitle = "Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings",

address = "Germany",

note = "4th International Conference on Advances in Information Systems, ADVIS 2006 ; Conference date: 18-10-2006 Through 20-10-2006",

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Sezer, E, Yazici, A & Yarimaǧan, Ü 2006, Semantic information retrieval on the web. in Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4243 LNCS, Springer Verlag, pp. 158-167, 4th International Conference on Advances in Information Systems, ADVIS 2006, Izmir, Turkey, 18/10/06. https://doi.org/10.1007/11890393_17

Semantic information retrieval on the web. / Sezer, Ebru; Yazici, Adnan; Yarimaǧan, Ünal.
Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings. Springer Verlag, 2006. p. 158-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4243 LNCS).

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

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AU - Yazici, Adnan

AU - Yarimaǧan, Ünal

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AB - In this study, a semantic information retrieval system to access web content is proposed. Web pages existing in the web contain not only textual but also visual data. When textual and visual data are combined, the semantics of the information presented in a web page becomes richer. Consequently, types of text body and visual data are queried as one entity in a single query sentence to improve the precision, recall and rnorm parameters of a web query. Fuzzy domain ontology to fill the gap between raw content and semantic features is used, and a model namely OAC (Object, Action and Concept) is proposed. The core of our system is the OAC Model used for fuzzy domain ontology derivation. The OAC Model serves both images and texts, equally. Several experiments are carried out on selected real web pages, and good results are obtained.

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M3 - Conference contribution

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SN - 9783540462910

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

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ER -

Semantic information retrieval on the web

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