CFP last date
20 March 2024
Reseach Article

Article:Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey

by Nora I. Al- Rajebah, Hend S. Al-Khalifa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 3
Year of Publication: 2010
Authors: Nora I. Al- Rajebah, Hend S. Al-Khalifa
10.5120/1661-2236

Nora I. Al- Rajebah, Hend S. Al-Khalifa . Article:Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey. International Journal of Computer Applications. 12, 3 ( December 2010), 6-12. DOI=10.5120/1661-2236

@article{ 10.5120/1661-2236,
author = { Nora I. Al- Rajebah, Hend S. Al-Khalifa },
title = { Article:Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 3 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number3/1661-2236/ },
doi = { 10.5120/1661-2236 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:42.777062+05:30
%A Nora I. Al- Rajebah
%A Hend S. Al-Khalifa
%T Article:Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 3
%P 6-12
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic web as a vision of Tim Berners-Lee is highly dependable upon the availability of machine readable information. Ontologies are one of the different machine readable formats that have been widely investigated. Several studies focus on how to extract concepts and semantic relations in order to build ontologies. Wikipedia is considered as one of the important knowledge sources that have been used to extract semantic relations due to its characteristics as a semi-structured knowledge source that would facilitate such a challenge. In this paper we will focus on the current state of this challenging field by discussing some of the recent studies about Wikipedia and semantic extraction and highlighting their main contributions and results.

References
  1. Medelyan, O., Milne, D., Legg, C., and Witten, I. H.,“Mining meaning from Wikipedia”, International Journal of Human-Computer Studies, vol. 67, no. 9, pp. 716-754, Sep. 2009.
  2. Ruiz-Casado, M., Alfonseca, E., Castells, P., “Automatic extraction of semantic relationships for wordnet by means of pattern learning from Wikipedia”, 10th International Conference on Applications of Natural Language to Information Systems, NLDB’05, Alicante, Spain, pp. 67–79, June 2005.
  3. Ruiz-Casado, M., Alfonseca, E., Castells, P., “Automatising the learning of lexical patterns: an application to the enrichment of WordNet by extracting semantic relationships from Wikipedia”, Data Knowledge and Engineering, vol. 61, no.3, pp. 484–499, Jun. 2007.
  4. Ruiz-Casado, M., Alfonseca, E., Castells, P., “From Wikipedia to semantic relationships: a semi-automated annotation approach”, The First International Workshop: SemWiki’06—From Wiki to Semantics. Co-located with the Third Annual European Semantic Web Conference ESWC’06, Budva, Montenegro, Jun. 2006.
  5. Chernov, S., Iofciu, T., Nejdl, W., Zhou, X.,
  6. “Extracting semantic relationships between Wikipedia categories”, The First International Workshop: SemWiki’06—From Wiki to Semantics. Co-located with the Third Annual European Semantic Web Con- ference ESWC’06, Budva, Montenegro, Jun. 2006.
  7. Wang, G., Yu, Y., Zhu, H., “PORE: Positive-only relation extraction from Wikipedia text”, The Sixth International Semantic Web Conference and Second Asian Semantic Web Conference, ISWC/ASWC’07, Busan, South Korea, Nov. 2007
  8. Wu, F., Weld, D., “Autonomously semantifying Wikipedia”, The 16th ACM Conference on Information and Knowledge Management, CIKM’07, Lisbon, Portugal, pp. 41–50, Nov. 2007.
  9. Wu, F., Weld, D., “Automatically refining the Wikipedia infobox ontology”, The 17th International World Wide Web Conference, WWW’08, Beijing, China, pp. 635-644, 2008
  10. Wu, F., Hoffmann, R., Weld, D., “Information extraction from Wikipedia: moving down the long tail”, The 14th ACM SigKDD International Conference on Knowledge Discovery and Data Mining (KDD-08), Las Vegas, NV, pp. 635–644, Aug. 2008.
  11. Nguyen, D.P.T., Matsuo, Y., Ishizuka, M., “Relation extraction from Wikipedia using subtree mining”, The AAAI’07 Conference, Vancouver, Canada, pp. 1414–1420, Jul. 2007.
  12. Nguyen, D.P.T., Matsuo, Y., Ishizuka, M., “Exploiting syntactic and semantic information for relation extraction from Wikipedia”, The IJCAI Workshop on Text-Mining and Link- Analysis, TextLink’07, 2007
  13. Cui, G., Lu, Q., Li, W., and Chen, Y., “Mining Concepts from Wikipedia for Ontology Construction”, The 2009 IEEE/WIC/ACM international Joint Conference on Web intelligence and intelligent Agent Technology - Volume 03, Web Intelligence & Intelligent Agent. IEEE Computer Society, Washington, DC, pp. 287-290, Sep. 2009
  14. Herbelot, A., Copestake, A., “Acquiring ontological relationships from Wikipedia using RMRS”, The International Semantic Web Conference 2006 Workshop on Web Content Mining with Human Language Technologies, Athens, GA, 2006
  15. Auer, S., Bizer, C., Lehmann, J., Kobilarov, G., Cyganiak, R., Ives, Z., “DBpedia: a nucleus for a web of open data”, The Sixth International Semantic Web Conference and Second Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, pp. 715–728, Nov. 2007.
  16. Auer, S., Lehmann, J., “What have Innsbruck and Leipzig in common? Extracting semantics from Wiki content”, In: Franconi, et al. (Eds.), European Semantic Web Conference (ESWC’07) June 2007. Lecture Notes in Computer Science, vol. 4519. Springer-Verlag, pp. 503–517.
  17. Ponzetto, S.P., Strube, M., “Deriving a large scale taxonomy from Wikipedia”, The 22nd national conference on Artificial intelligence - Volume 2, AAAI ‘07, Vancouver, British Columbia, Canada, pp. 1440–1445, Jul. 2007
  18. Suchanek, F.M., Kasneci, G., Weikum, G., “Yago: a core of semantic knowledge”, The 16th World Wide Web Conference, WWW’07. Banff, Alberta, Canada, ACM Press, New York, pp. 697-706, May 2007.
  19. Suchanek F. M., Kasneci G., Weikum G., “YAGO: A Large Ontology from Wikipedia and WordNet”, Web Semantics: Science, Services and Agents on the World Wide Web, vol. 6, no. 3, pp. 203–217, Sep. 2008.
  20. Liu Q., Xu K., Zhang L., Wang H., Yu Y., Pan Y., “Catriple: Extracting Triples from Wikipedia Categories”, Lecture Notes in Computer Science, vol. 5367. Springer, pp. 330-344, 2008.
  21. Medelyan, O. & Legg, C., “Integrating Cyc and Wikipedia: Folksonomy Meets Rigorously Defined Common-Sense”, The AAAI Workshop on Wikipedia and Artificial Intelligence, Chicago, Ill pp. 13-18, 2008.
  22. Sarjant, S., Legg, C., Robinson, M., and Medelyan, O., “All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc”, The 2009 IEEE/WIC/ACM international Joint Conference on Web intelligence and intelligent Agent Technology - Volume 01. Web Intelligence & Intelligent Agent. IEEE Computer Society, Washington, DC, pp. 341-348, Sep. 2009.
  23. De Silva, L.; Jayaratne, L.,“Semi-automatic extraction and modeling of ontologies using Wikipedia XML Corpus”, Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference, pp.446-451, Aug. 2009.
  24. Farhoodi M., Mahmoudi M., Bidoki A. M. Z., Yari A., Azadnia M., “Query Expansion Using Persian Ontology Derived from Wikipedia”, World Applied Sciences Journal , vol. 7 no. 4, pp. 410-417, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Building Semantic Web Semantic extraction Wikipedia