The week's pick
Reseach Article
A Survey on Semantic Search Engines and Their Behooves and Limits
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 2 |
| Year of Publication: 2015 |
| Authors: Javad Mohammadi Madavani, Abbas Akkasi, Fazel Rezaie, Hamed Mohebi Mahdi Abadi |
10.5120/ijca2015905828
|
Javad Mohammadi Madavani, Abbas Akkasi, Fazel Rezaie, Hamed Mohebi Mahdi Abadi . A Survey on Semantic Search Engines and Their Behooves and Limits. International Journal of Computer Applications. 125, 2 ( September 2015), 1-5. DOI=10.5120/ijca2015905828
Abstract
Current age is age of information explosion. Ever-expanding of the World Wide Web makes the finding required information difficult. Search engines play a principle role in finding info and a high volume of internet traffic related to them. Despite the remarkable progress in search engines, the results still are not satisfactory. Semantic search engines by using facilities at the semantic can add a lot of quality to search results. More specifically semantic web provides clear and intelligible meanings for search engine so it can generate more desired results. What is in this paper is a review of some efforts have done in this field and results achieved by these efforts. At last it will be realized that despite all these efforts, still semantic web cannot be an alternative to current search engines.
References
- Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems. .
- Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
- Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
- Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398., University of Washington.
- Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
- Brown, L. D., Hua, H., and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
- Y.T. Yu, M.F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
- McGuiness, D.L. and van Harmelen, F. (2004) ‘OWL web ontology language – overview – W3C recommendation 10 February 2004’, Technical Report, W3C, http://www.w3.org/TR/owl-features/ (2004-7-15).
- Heflin, J., & Hendler, J. (2000). Searching the Web with SHOE. In Artificial Intelligence for Web Search (pp. 35–40).
- Finin, T., Reddivari, P., Cost, R. S., & Sachs, J. (2004). Swoogle : A Search and Metadata Engine for the Semantic Web. In ACM conference on Information and knowledge management (pp. 652–659). doi:10.1145/1031171.1031289
- Guha, R., McCool, R. and Miller, E. (2003) ‘Semantic search’, WWW ‘03: Proceedings of the Twelfth International Conference on World Wide Web, May, Budapest, Hungary.
- Glover, E.J., Lawrence, S., Gordon, M.D., Birmingham, W.P. and Giles, C.L. (2001) ‘Web search – your way’, Communications of the ACM, Vol. 44, No. 12, December, pp.97–102.
- Burton-Jones, A., Storey, V.C., Sugumaran, V. and Purao, S. (2003) ‘A heuristic-based methodology for semantic augmentation of user queries on the web’, Conceptual Modeling – ER 2003, 22nd International Conference on Conceptual Modeling, Chicago, IL, USA, October 13–16, Proceedings, pp.476–489.
- Stojanovic, N. (2003) ‘On analysing query ambiguity for query refinement: the librarian agent approach’, Conceptual Modeling – ER 2003, 22nd International Conference on Conceptual Modeling, Chicago, IL, USA, October 13–16, Proceedings, pp.490–505.
Index Terms
Keywords