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Multidimensional Ontology-Based Information Retrieval for Academic Counseling

Multidimensional Ontology-Based Information Retrieval for Academic Counseling

S. S. Lam, Samuel P. M. Choi
Copyright: © 2014 |Volume: 4 |Issue: 3 |Pages: 17
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781466656949|DOI: 10.4018/ijssoe.2014070104
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MLA

Lam, S. S., and Samuel P. M. Choi. "Multidimensional Ontology-Based Information Retrieval for Academic Counseling." IJSSOE vol.4, no.3 2014: pp.66-82. http://doi.org/10.4018/ijssoe.2014070104

APA

Lam, S. S. & Choi, S. P. (2014). Multidimensional Ontology-Based Information Retrieval for Academic Counseling. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 4(3), 66-82. http://doi.org/10.4018/ijssoe.2014070104

Chicago

Lam, S. S., and Samuel P. M. Choi. "Multidimensional Ontology-Based Information Retrieval for Academic Counseling," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 4, no.3: 66-82. http://doi.org/10.4018/ijssoe.2014070104

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Abstract

Conventional information retrieval can only locate documents containing user specified keywords. Integrating domain ontology with information retrieval extends the keyword-based search to semantic search and thus potentially improves the precision and recall of the document retrieval. In this paper, a set of new multidimensional ontology-based information retrieval algorithms is proposed for searching both specific and related terms. In particular, the relevant data properties of an instance, the relevant concepts, the relevant related concepts, and the related instances of a given user query can be identified from the domain ontology via the multidimensional search. Using the proposed algorithms, an intelligent counselling system which provides 24x7 online academic counselling services is developed. Through an interactive user-interface and domain ontology, the system facilitates students to find desired information by reviewing and refining their query. The article also outlines how to enable ontology-based searching for a conventional website.

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