Omiotis: A thesaurus-based measure of text relatedness

George Tsatsaronis; Iraklis Varlamis; Michalis Vazirgiannis; Kjetil Nørvåg

doi:10.1007/978-3-642-04174-7_54

Omiotis: A thesaurus-based measure of text relatedness

George Tsatsaronis
, Iraklis Varlamis
, Michalis Vazirgiannis
, Kjetil Nørvåg

Norwegian University of Science and Technology
Harokopion University of Athens
Department of Informatics, Athens University of Economics and Business

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.

langue originale	Anglais
titre	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings
Editeur	Springer Verlag
Pages	742-745
Nombre de pages	4
Edition	PART 2
ISBN (imprimé)	3642041736, 9783642041730
Les DOIs	https://doi.org/10.1007/978-3-642-04174-7_54
état	Publié - 1 janv. 2009
Modification externe	Oui
Evénement	9th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009 - Bled, Slovénie Durée: 7 sept. 2009 → 11 sept. 2009

Série de publications

Nom	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
nombre	PART 2
Volume	5782 LNAI
ISSN (imprimé)	0302-9743
ISSN (Electronique)	1611-3349

Une conférence

Une conférence	9th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009
Pays/Territoire	Slovénie
La ville	Bled
période	7/09/09 → 11/09/09

Accès au document

10.1007/978-3-642-04174-7_54

Contient cette citation

Tsatsaronis, G., Varlamis, I., Vazirgiannis, M., & Nørvåg, K. (2009). Omiotis: A thesaurus-based measure of text relatedness. Dans Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings (PART 2 Ed., p. 742-745). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 5782 LNAI, Numéro PART 2). Springer Verlag. https://doi.org/10.1007/978-3-642-04174-7_54

Tsatsaronis, George ; Varlamis, Iraklis ; Vazirgiannis, Michalis et al. / Omiotis : A thesaurus-based measure of text relatedness. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 2. Ed. Springer Verlag, 2009. p. 742-745 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.",

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Tsatsaronis, G, Varlamis, I, Vazirgiannis, M & Nørvåg, K 2009, Omiotis: A thesaurus-based measure of text relatedness. Dans Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Numéro PART 2, VOL. 5782 LNAI, Springer Verlag, p. 742-745, 9th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009, Bled, Slovénie, 7/09/09. https://doi.org/10.1007/978-3-642-04174-7_54

Omiotis: A thesaurus-based measure of text relatedness. / Tsatsaronis, George; Varlamis, Iraklis; Vazirgiannis, Michalis et al.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 2. Ed. Springer Verlag, 2009. p. 742-745 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol 5782 LNAI, Numéro PART 2).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

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AU - Varlamis, Iraklis

AU - Vazirgiannis, Michalis

AU - Nørvåg, Kjetil

PY - 2009/1/1

Y1 - 2009/1/1

N2 - In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, namely WordNet. The approach does not require any type of training, since it exploits only WordNet to devise the implicit semantic links between text words. The paper presents a prototype on-line demo of the measure, that can provide word-to-word relatedness values, even for words of different part of speech. In addition the demo allows for the computation of relatedness between text segments.

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DO - 10.1007/978-3-642-04174-7_54

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SN - 9783642041730

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Tsatsaronis G, Varlamis I, Vazirgiannis M, Nørvåg K. Omiotis: A thesaurus-based measure of text relatedness. Dans Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 2 Ed. Springer Verlag. 2009. p. 742-745. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-04174-7_54

Omiotis: A thesaurus-based measure of text relatedness

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation