Bin Zhu
ABSTRACT
We propose to demonstrate a web-based prototype system that integrates the meta-search approach with existing information analysis and visualization technologies to facilitate concept-based searching behavior over the medical domain. The system distinguishes itself from other meta-search engines through two features. It incorporates the co-occurrence analysis and existing ontology to understand user's query. It also utilizes the self-organizing map (SOM) to categorize and visualize search results.
- Chen, H. & Lynch, K.J., (1992). Automatic construction of networks of concepts characterizing document database. IEEE Transactions on Systems, Man and Cybernetics, Vol. 22, No. 5, pp. 885--902Google Scholar
Cross Ref
- Kohonen, T. (1995), Self-Organizing Maps. Berlin, Heidelberg. Springer-Verlag Google ScholarDigital Library
- Tolle, K. M. & Chen, H. (2000), Comparing noun phrasing techniques for use with medical digital library tools, Journal of the American Society for Information Science, Vol. 51, No. 4, pp. 352--370 Google ScholarCross Ref
Index Terms
- MedTextus: an intelligent web-based medical meta-search system
Recommendations
Rank aggregation model for meta search: an approach using text and rank analysis measures
Intelligent information processing IIOne problem domain of meta search is to combine and improve the precision of ranking results from various search systems. This paper describes a rank aggregation model that incorporates text analysis measure with existing rank-based method, e.g. Best ...
Expert agreement and content based reranking in a meta search environment using Mearf
WWW '02: Proceedings of the 11th international conference on World Wide WebRecent increase in the number of search engines on the Web and the availability of meta search engines that can query multiple search engines makes it important to find effective methods for combining results coming from different sources. In this paper ...
Examining the Authority and Ranking Effects as the result list depth used in data fusion is varied
The Authority and Ranking Effects play a key role in data fusion. The former refers to the fact that the potential relevance of a document increases exponentially as the number of systems retrieving it increases and the latter to the phenomena that ...
Comments