Evaluation of triple indices in retrieving web documents

Nurul Syeilla Syazhween Zulkefli, Nurazzah Abd Rahman, Zainab Abu Bakar, Sharifalillah Nordin, Tengku Mohd Tengku Sembok, Noor Hasimah Ibrahim Teo

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

Abstract

Indexing is one of the important technique used to make searching and retrieval process more accurate and faster. In this paper, the indexing features of triple stores are investigated to see the pattern of semantic indexing that will improve the current information retrieval indexing. To do the evaluation, we choose the best triple stores, Allegro Graph. AllegroGraph require more than one triple indices pattern to be matched with the query. Therefore we do the evaluation of triple indices to determine which triple indices pattern gives for fast retrieval. During experiment, we use RDF data. Then we matched the triple indices pattern with the SPARQL query to retrieve the relevant data. As the result, it would take longer if the system contains unneeded triple indices which will waste CPU times and disk space. Removing unneeded triple indices pattern will provide for fast retrieval.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
PublisherIEEE Computer Society
Pages525-529
Number of pages5
ISBN (Print)9781479927586
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 - Kuching, Sarawak
Duration: 23 Dec 201324 Dec 2013

Other

Other2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013
CityKuching, Sarawak
Period23/12/1324/12/13

Fingerprint

Information retrieval
Program processors
Semantics
Experiments

Keywords

  • AllegroGraph
  • RDF
  • Semantic indexing
  • SPARQL query
  • Triple stores

ASJC Scopus subject areas

  • Computer Science Applications

Cite this

Zulkefli, N. S. S., Rahman, N. A., Bakar, Z. A., Nordin, S., Sembok, T. M. T., & Teo, N. H. I. (2014). Evaluation of triple indices in retrieving web documents. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 (pp. 525-529). [6836638] IEEE Computer Society. https://doi.org/10.1109/ACSAT.2013.109

Evaluation of triple indices in retrieving web documents. / Zulkefli, Nurul Syeilla Syazhween; Rahman, Nurazzah Abd; Bakar, Zainab Abu; Nordin, Sharifalillah; Sembok, Tengku Mohd Tengku; Teo, Noor Hasimah Ibrahim.

Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. p. 525-529 6836638.

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

Zulkefli, NSS, Rahman, NA, Bakar, ZA, Nordin, S, Sembok, TMT & Teo, NHI 2014, Evaluation of triple indices in retrieving web documents. in Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013., 6836638, IEEE Computer Society, pp. 525-529, 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, Kuching, Sarawak, 23/12/13. https://doi.org/10.1109/ACSAT.2013.109
Zulkefli NSS, Rahman NA, Bakar ZA, Nordin S, Sembok TMT, Teo NHI. Evaluation of triple indices in retrieving web documents. In Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society. 2014. p. 525-529. 6836638 https://doi.org/10.1109/ACSAT.2013.109
Zulkefli, Nurul Syeilla Syazhween ; Rahman, Nurazzah Abd ; Bakar, Zainab Abu ; Nordin, Sharifalillah ; Sembok, Tengku Mohd Tengku ; Teo, Noor Hasimah Ibrahim. / Evaluation of triple indices in retrieving web documents. Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013. IEEE Computer Society, 2014. pp. 525-529
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