Deriving event relevance from the ontology constructed with formal concept analysis

Wei Xu; Wenjie Li; Mingli Wu; Wei Li; Chunfa Yuan

doi:10.1007/11671299_50

Deriving event relevance from the ontology constructed with formal concept analysis

Wei Xu, Wenjie Li, Mingli Wu, Wei Li, Chunfa Yuan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 Citations (Scopus)

Abstract

In this paper, we present a novel approach to derive event relevance from event ontology constructed with Formal Concept Analysis (FCA), a mathematical approach to data analysis and knowledge representation. The ontology is built from a set of relevant documents and according to the named entities associated to the events. Various relevance measures are explored, from binary to scaled, and from symmetrical to asymmetrical associations. We then apply the derived event relevance to the task of multi-document summarization. The experiments on DUC 2004 data set show that the relevant-event-based approaches outperform the independent-event-based approach.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings
Pages	480-489
Number of pages	10
DOIs	https://doi.org/10.1007/11671299_50
Publication status	Published - 7 Jul 2006
Event	7th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2006 - Mexico City, Mexico Duration: 19 Feb 2006 → 25 Feb 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3878 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2006
Country/Territory	Mexico
City	Mexico City
Period	19/02/06 → 25/02/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/11671299_50

Cite this

Xu, W., Li, W., Wu, M., Li, W., & Yuan, C. (2006). Deriving event relevance from the ontology constructed with formal concept analysis. In Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings (pp. 480-489). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3878 LNCS). https://doi.org/10.1007/11671299_50

Xu, Wei ; Li, Wenjie ; Wu, Mingli et al. / Deriving event relevance from the ontology constructed with formal concept analysis. Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings. 2006. pp. 480-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{3193bc84fc2d4709a2460d714e560609,

title = "Deriving event relevance from the ontology constructed with formal concept analysis",

abstract = "In this paper, we present a novel approach to derive event relevance from event ontology constructed with Formal Concept Analysis (FCA), a mathematical approach to data analysis and knowledge representation. The ontology is built from a set of relevant documents and according to the named entities associated to the events. Various relevance measures are explored, from binary to scaled, and from symmetrical to asymmetrical associations. We then apply the derived event relevance to the task of multi-document summarization. The experiments on DUC 2004 data set show that the relevant-event-based approaches outperform the independent-event-based approach.",

author = "Wei Xu and Wenjie Li and Mingli Wu and Wei Li and Chunfa Yuan",

year = "2006",

month = jul,

day = "7",

doi = "10.1007/11671299_50",

language = "English",

isbn = "3540322051",

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

pages = "480--489",

booktitle = "Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings",

note = "7th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2006 ; Conference date: 19-02-2006 Through 25-02-2006",

}

Xu, W, Li, W, Wu, M, Li, W & Yuan, C 2006, Deriving event relevance from the ontology constructed with formal concept analysis. in Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3878 LNCS, pp. 480-489, 7th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2006, Mexico City, Mexico, 19/02/06. https://doi.org/10.1007/11671299_50

Deriving event relevance from the ontology constructed with formal concept analysis. / Xu, Wei; Li, Wenjie; Wu, Mingli et al.
Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings. 2006. p. 480-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3878 LNCS).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Deriving event relevance from the ontology constructed with formal concept analysis

AU - Xu, Wei

AU - Li, Wenjie

AU - Wu, Mingli

AU - Li, Wei

AU - Yuan, Chunfa

PY - 2006/7/7

Y1 - 2006/7/7

N2 - In this paper, we present a novel approach to derive event relevance from event ontology constructed with Formal Concept Analysis (FCA), a mathematical approach to data analysis and knowledge representation. The ontology is built from a set of relevant documents and according to the named entities associated to the events. Various relevance measures are explored, from binary to scaled, and from symmetrical to asymmetrical associations. We then apply the derived event relevance to the task of multi-document summarization. The experiments on DUC 2004 data set show that the relevant-event-based approaches outperform the independent-event-based approach.

AB - In this paper, we present a novel approach to derive event relevance from event ontology constructed with Formal Concept Analysis (FCA), a mathematical approach to data analysis and knowledge representation. The ontology is built from a set of relevant documents and according to the named entities associated to the events. Various relevance measures are explored, from binary to scaled, and from symmetrical to asymmetrical associations. We then apply the derived event relevance to the task of multi-document summarization. The experiments on DUC 2004 data set show that the relevant-event-based approaches outperform the independent-event-based approach.

UR - http://www.scopus.com/inward/record.url?scp=33745523806&partnerID=8YFLogxK

U2 - 10.1007/11671299_50

DO - 10.1007/11671299_50

M3 - Conference article published in proceeding or book

SN - 3540322051

SN - 9783540322054

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

SP - 480

EP - 489

BT - Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings

T2 - 7th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2006

Y2 - 19 February 2006 through 25 February 2006

ER -

Xu W, Li W, Wu M, Li W, Yuan C. Deriving event relevance from the ontology constructed with formal concept analysis. In Computational Linguistics and Intelligent Text Processing - 7th International Conference, CICLing 2006, Proceedings. 2006. p. 480-489. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11671299_50

Deriving event relevance from the ontology constructed with formal concept analysis

Abstract

Publication series

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this