Tag cloud generation for results of multiple keywords queries

Martin Leginus, Peter Dolog, Ricardo Gomes Lage

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

In this paper we study tag cloud generation for retrieved results of multiple keyword queries. It is motivated by many real world scenarios such as personalization tasks, surveillance systems and information retrieval tasks defined with multiple keywords.
We adjust the state-of-the-art tag cloud generation techniques for multiple keywords query results. Consequently, we conduct the extensive evaluation on top of three distinct collaborative tagging systems. The graph-based methods perform significantly better for the Movielens and Bibsonomy datasets. Tag cloud generation based on maximal coverage is more suitable for the Delicious dataset because of the different statistical properties of the dataset

Original language	English
Title of host publication	Web Engineering : 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings
Editors	Florian Daniel, Peter Dolog, Qing Li
Number of pages	15
Volume	7977
Publisher	Springer Publishing Company
Publication date	2013
Pages	233-248
ISBN (Print)	978-3-642-39199-6
ISBN (Electronic)	978-3-642-39200-9
DOIs	https://doi.org/10.1007/978-3-642-39200-9_21
Publication status	Published - 2013
Event	The International Conference on Web Engineering - Aalborg, Denmark Duration: 8 Jul 2013 → 12 Jul 2013 Conference number: 13

Conference

Conference	The International Conference on Web Engineering
Number	13
Country/Territory	Denmark
City	Aalborg
Period	08/07/2013 → 12/07/2013

Series	Lecture Notes in Computer Science
Volume	7977
ISSN	0302-9743

Keywords

tag clouds
information retrieval
summarization

Access to Document

10.1007/978-3-642-39200-9_21

http://link.springer.com/chapter/10.1007%2F978-3-642-39200-9_21#

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Cite this

Leginus, Martin ; Dolog, Peter ; Lage, Ricardo Gomes. / Tag cloud generation for results of multiple keywords queries. Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings. editor / Florian Daniel ; Peter Dolog ; Qing Li. Vol. 7977 Springer Publishing Company, 2013. pp. 233-248 (Lecture Notes in Computer Science, Vol. 7977).

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title = "Tag cloud generation for results of multiple keywords queries",

abstract = "In this paper we study tag cloud generation for retrieved results of multiple keyword queries. It is motivated by many real world scenarios such as personalization tasks, surveillance systems and information retrieval tasks defined with multiple keywords.We adjust the state-of-the-art tag cloud generation techniques for multiple keywords query results. Consequently, we conduct the extensive evaluation on top of three distinct collaborative tagging systems. The graph-based methods perform significantly better for the Movielens and Bibsonomy datasets. Tag cloud generation based on maximal coverage is more suitable for the Delicious dataset because of the different statistical properties of the dataset ",

keywords = "tag clouds, information retrieval, summarization",

author = "Martin Leginus and Peter Dolog and Lage, {Ricardo Gomes}",

year = "2013",

doi = "10.1007/978-3-642-39200-9_21",

language = "English",

isbn = "978-3-642-39199-6",

volume = "7977",

series = "Lecture Notes in Computer Science",

publisher = "Springer Publishing Company",

pages = "233--248",

editor = "Florian Daniel and Peter Dolog and Qing Li",

booktitle = "Web Engineering",

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note = "The International Conference on Web Engineering ; Conference date: 08-07-2013 Through 12-07-2013",

}

Leginus, M, Dolog, P & Lage, RG 2013, Tag cloud generation for results of multiple keywords queries. in F Daniel, P Dolog & Q Li (eds), Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings. vol. 7977, Springer Publishing Company, Lecture Notes in Computer Science, vol. 7977, pp. 233-248, The International Conference on Web Engineering, Aalborg, Denmark, 08/07/2013. https://doi.org/10.1007/978-3-642-39200-9_21

Tag cloud generation for results of multiple keywords queries. / Leginus, Martin; Dolog, Peter; Lage, Ricardo Gomes.
Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings. ed. / Florian Daniel; Peter Dolog; Qing Li. Vol. 7977 Springer Publishing Company, 2013. p. 233-248 (Lecture Notes in Computer Science, Vol. 7977).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Dolog, Peter

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AB - In this paper we study tag cloud generation for retrieved results of multiple keyword queries. It is motivated by many real world scenarios such as personalization tasks, surveillance systems and information retrieval tasks defined with multiple keywords.We adjust the state-of-the-art tag cloud generation techniques for multiple keywords query results. Consequently, we conduct the extensive evaluation on top of three distinct collaborative tagging systems. The graph-based methods perform significantly better for the Movielens and Bibsonomy datasets. Tag cloud generation based on maximal coverage is more suitable for the Delicious dataset because of the different statistical properties of the dataset

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KW - summarization

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Leginus M, Dolog P, Lage RG. Tag cloud generation for results of multiple keywords queries. In Daniel F, Dolog P, Li Q, editors, Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings. Vol. 7977. Springer Publishing Company. 2013. p. 233-248. (Lecture Notes in Computer Science, Vol. 7977). doi: 10.1007/978-3-642-39200-9_21