Research topics discovery from WWW by keywords association rules

David Ramamonjisoa; Einoshin Suzuki; Issam Hamid

doi:10.1007/3-540-45554-X_51

Research topics discovery from WWW by keywords association rules

David Ramamonjisoa, Einoshin Suzuki, Issam Hamid

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

1 Citation (Scopus)

Abstract

In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rules Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.

Original language	English
Title of host publication	Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers
Editors	Wojciech Ziarko, Yiyu Yao
Publisher	Springer Verlag
Pages	412-419
Number of pages	8
ISBN (Print)	3540430741, 9783540430742
DOIs	https://doi.org/10.1007/3-540-45554-X_51
Publication status	Published - Jan 1 2001
Externally published	Yes
Event	2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, Canada Duration: Oct 16 2000 → Oct 19 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2005
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000
Country/Territory	Canada
City	Banff
Period	10/16/00 → 10/19/00

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45554-X_51

Cite this

Ramamonjisoa, D., Suzuki, E., & Hamid, I. (2001). Research topics discovery from WWW by keywords association rules. In W. Ziarko, & Y. Yao (Eds.), Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers (pp. 412-419). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2005). Springer Verlag. https://doi.org/10.1007/3-540-45554-X_51

Research topics discovery from WWW by keywords association rules. / Ramamonjisoa, David; Suzuki, Einoshin; Hamid, Issam.

Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. ed. / Wojciech Ziarko; Yiyu Yao. Springer Verlag, 2001. p. 412-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2005).

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

Ramamonjisoa, D, Suzuki, E & Hamid, I 2001, Research topics discovery from WWW by keywords association rules. in W Ziarko & Y Yao (eds), Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2005, Springer Verlag, pp. 412-419, 2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000, Banff, Canada, 10/16/00. https://doi.org/10.1007/3-540-45554-X_51

Ramamonjisoa D, Suzuki E, Hamid I. Research topics discovery from WWW by keywords association rules. In Ziarko W, Yao Y, editors, Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. Springer Verlag. 2001. p. 412-419. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-45554-X_51

Ramamonjisoa, David ; Suzuki, Einoshin ; Hamid, Issam. / Research topics discovery from WWW by keywords association rules. Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers. editor / Wojciech Ziarko ; Yiyu Yao. Springer Verlag, 2001. pp. 412-419 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4439fb39bfa5461a93d3cdce7d019323,

title = "Research topics discovery from WWW by keywords association rules",

abstract = "In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rules Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.",

author = "David Ramamonjisoa and Einoshin Suzuki and Issam Hamid",

year = "2001",

month = jan,

day = "1",

doi = "10.1007/3-540-45554-X_51",

language = "English",

isbn = "3540430741",

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

publisher = "Springer Verlag",

pages = "412--419",

editor = "Wojciech Ziarko and Yiyu Yao",

booktitle = "Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers",

address = "Germany",

note = "2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 ; Conference date: 16-10-2000 Through 19-10-2000",

}

TY - GEN

T1 - Research topics discovery from WWW by keywords association rules

AU - Ramamonjisoa, David

AU - Suzuki, Einoshin

AU - Hamid, Issam

PY - 2001/1/1

Y1 - 2001/1/1

N2 - In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rules Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.

AB - In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rules Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.

UR - http://www.scopus.com/inward/record.url?scp=84957801496&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84957801496&partnerID=8YFLogxK

U2 - 10.1007/3-540-45554-X_51

DO - 10.1007/3-540-45554-X_51

M3 - Conference contribution

AN - SCOPUS:84957801496

SN - 3540430741

SN - 9783540430742

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

SP - 412

EP - 419

BT - Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers

A2 - Ziarko, Wojciech

A2 - Yao, Yiyu

PB - Springer Verlag

T2 - 2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000

Y2 - 16 October 2000 through 19 October 2000

ER -

Research topics discovery from WWW by keywords association rules

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this