Semantic relatedness hits bibliographic data

George Tsatsaronis; Iraklis Varlamis; Sofia Stamou; Kjetil Nørvåg; Michalis Vazirgiannis

doi:10.1145/1651587.1651607

Semantic relatedness hits bibliographic data

George Tsatsaronis, Iraklis Varlamis, Sofia Stamou, Kjetil Nørvåg, Michalis Vazirgiannis

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

3 Scopus citations

Abstract

In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this task. In particular, we introduce the Omiotis measure, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic data stored in online databases. Experimental evaluation demonstrates that Omiotis can significantly improve the performance of several data mining tasks, such as publications' classification and clustering, compared to existing approaches; even when considering a limited amount of information, i.e., the paper titles.

Original language	English
Title of host publication	ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009
Pages	87-90
Number of pages	4
DOIs	https://doi.org/10.1145/1651587.1651607
State	Published - 2009
Externally published	Yes
Event	ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong, China Duration: Nov 2 2009 → Nov 6 2009

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009
Country/Territory	China
City	Hong Kong
Period	11/2/09 → 11/6/09

Keywords

Bibliographic data management
Semantic relatedness

Access to Document

10.1145/1651587.1651607

Cite this

Tsatsaronis, G., Varlamis, I., Stamou, S., Nørvåg, K., & Vazirgiannis, M. (2009). Semantic relatedness hits bibliographic data. In ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009 (pp. 87-90). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1651587.1651607

Tsatsaronis, George ; Varlamis, Iraklis ; Stamou, Sofia et al. / Semantic relatedness hits bibliographic data. ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009. 2009. pp. 87-90 (International Conference on Information and Knowledge Management, Proceedings).

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abstract = "In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this task. In particular, we introduce the Omiotis measure, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic data stored in online databases. Experimental evaluation demonstrates that Omiotis can significantly improve the performance of several data mining tasks, such as publications' classification and clustering, compared to existing approaches; even when considering a limited amount of information, i.e., the paper titles.",

keywords = "Bibliographic data management, Semantic relatedness",

author = "George Tsatsaronis and Iraklis Varlamis and Sofia Stamou and Kjetil N{\o}rv{\aa}g and Michalis Vazirgiannis",

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note = "ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009 ; Conference date: 02-11-2009 Through 06-11-2009",

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Tsatsaronis, G, Varlamis, I, Stamou, S, Nørvåg, K & Vazirgiannis, M 2009, Semantic relatedness hits bibliographic data. in ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009. International Conference on Information and Knowledge Management, Proceedings, pp. 87-90, ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, 11/2/09. https://doi.org/10.1145/1651587.1651607

Semantic relatedness hits bibliographic data. / Tsatsaronis, George; Varlamis, Iraklis; Stamou, Sofia et al.
ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009. 2009. p. 87-90 (International Conference on Information and Knowledge Management, Proceedings).

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

TY - GEN

T1 - Semantic relatedness hits bibliographic data

AU - Tsatsaronis, George

AU - Varlamis, Iraklis

AU - Stamou, Sofia

AU - Nørvåg, Kjetil

AU - Vazirgiannis, Michalis

PY - 2009

Y1 - 2009

N2 - In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this task. In particular, we introduce the Omiotis measure, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic data stored in online databases. Experimental evaluation demonstrates that Omiotis can significantly improve the performance of several data mining tasks, such as publications' classification and clustering, compared to existing approaches; even when considering a limited amount of information, i.e., the paper titles.

AB - In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this task. In particular, we introduce the Omiotis measure, which captures the semantic relatedness between text segments and enables the thematic organization of the bibliographic data stored in online databases. Experimental evaluation demonstrates that Omiotis can significantly improve the performance of several data mining tasks, such as publications' classification and clustering, compared to existing approaches; even when considering a limited amount of information, i.e., the paper titles.

KW - Bibliographic data management

KW - Semantic relatedness

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U2 - 10.1145/1651587.1651607

DO - 10.1145/1651587.1651607

M3 - Contribución a la conferencia

AN - SCOPUS:74049109340

SN - 9781605588087

T3 - International Conference on Information and Knowledge Management, Proceedings

SP - 87

EP - 90

BT - ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009

T2 - ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009

Y2 - 2 November 2009 through 6 November 2009

ER -

Tsatsaronis G, Varlamis I, Stamou S, Nørvåg K, Vazirgiannis M. Semantic relatedness hits bibliographic data. In ACM CIKM 2009 Workshop on Web Information and Data Management, WIDM 2009, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009. 2009. p. 87-90. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/1651587.1651607

Semantic relatedness hits bibliographic data

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