초록
영어
As more and more data is described, stored, exchanged and represented by XML, the abilities
of information retrieval for XML document become increasingly important. However, the
retrieval results to users are quite large. This paper gives a Bayesian network‐based model for
ranking these large results. Each XML document is modeled through a Bayesian network, which
can handle both structure and content for the document. And then this paper presents the
inference for the probability of each document on the given query. Finally documents are ranked
according to the probabilities in descent.
목차
Abstract
1. Introduction
2. Previous work
2.1 Bayesian Network in Information Retrieval
2.2 XML Document
3. Defining XML Document and Ranking Process
3.1 Defining XML Document
3.2 Ranking Process
4. Bayesian Network for XML Document
4.1 Nodes and Arcs in the Network
4.2 Inference in the network
5. Conclusion
References
1. Introduction
2. Previous work
2.1 Bayesian Network in Information Retrieval
2.2 XML Document
3. Defining XML Document and Ranking Process
3.1 Defining XML Document
3.2 Ranking Process
4. Bayesian Network for XML Document
4.1 Nodes and Arcs in the Network
4.2 Inference in the network
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보