Keyphrase extraction for islamic knowledge ontology

Saidah Saad, Naomie Salim, Nazlia Omar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
Volume2
DOIs
Publication statusPublished - 2008
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur
Duration: 26 Aug 200829 Aug 2008

Other

OtherInternational Symposium on Information Technology 2008, ITSim
CityKuala Lumpur
Period26/8/0829/8/08

Fingerprint

Ontology
Syntactics
Metadata
Statistical methods
Semantics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Saad, S., Salim, N., & Omar, N. (2008). Keyphrase extraction for islamic knowledge ontology. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 2). [4631711] https://doi.org/10.1109/ITSIM.2008.4631711

Keyphrase extraction for islamic knowledge ontology. / Saad, Saidah; Salim, Naomie; Omar, Nazlia.

Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008. 4631711.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saad, S, Salim, N & Omar, N 2008, Keyphrase extraction for islamic knowledge ontology. in Proceedings - International Symposium on Information Technology 2008, ITSim. vol. 2, 4631711, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, 26/8/08. https://doi.org/10.1109/ITSIM.2008.4631711
Saad S, Salim N, Omar N. Keyphrase extraction for islamic knowledge ontology. In Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2. 2008. 4631711 https://doi.org/10.1109/ITSIM.2008.4631711
Saad, Saidah ; Salim, Naomie ; Omar, Nazlia. / Keyphrase extraction for islamic knowledge ontology. Proceedings - International Symposium on Information Technology 2008, ITSim. Vol. 2 2008.
@inproceedings{6f2d77c1cc914352af78476554cf071b,
title = "Keyphrase extraction for islamic knowledge ontology",
abstract = "This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.",
author = "Saidah Saad and Naomie Salim and Nazlia Omar",
year = "2008",
doi = "10.1109/ITSIM.2008.4631711",
language = "English",
isbn = "9781424423286",
volume = "2",
booktitle = "Proceedings - International Symposium on Information Technology 2008, ITSim",

}

TY - GEN

T1 - Keyphrase extraction for islamic knowledge ontology

AU - Saad, Saidah

AU - Salim, Naomie

AU - Omar, Nazlia

PY - 2008

Y1 - 2008

N2 - This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.

AB - This paper describes ongoing work on the evaluation methods for extraction keyword and keyphrase candidate in order to develop an ontology for Islamic Knowledge. Keyphrases provide semantic metadata that summarize, characterize documents and topic search. The task of automatic keyword and keyphrase extraction and also known as a collocation extraction is to select keywords or keyphrases from within the text of a given document. Automatic keywords or keyphrase extraction makes it feasible to generate keywords or keyphrases for the huge number of documents that do not have manually assigned them. This paper also describes an algorithm for extracting keyphrases from Islamic Knowledge text as a concept and attribute candidate. It identifies candidate keywords and keyphrases using lexico-syntactic method and statistical method.

UR - http://www.scopus.com/inward/record.url?scp=57349183136&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=57349183136&partnerID=8YFLogxK

U2 - 10.1109/ITSIM.2008.4631711

DO - 10.1109/ITSIM.2008.4631711

M3 - Conference contribution

SN - 9781424423286

VL - 2

BT - Proceedings - International Symposium on Information Technology 2008, ITSim

ER -