| Summary: | 碩士 === 國立交通大學 === 資訊科學系 === 91 === A bibliographic management system facilitates the storage and management of the bibliographic information on documents that are important for user. Features of a bibliographic information like authors, published year, and abstracts are stored in the system to represent one document. A user can personalize his/her folders in terms of user-configurable categories. In addition to the above-mentioned functions, the personal bibliographic management system that we design also recommends documents relevant to an individual user. The idea is to analyze semantic meaning of documents. Documents with the same semantic meaning will be grouped into a cluster. If someone has documents belonging to one cluster, our system will recommend him other documents belonging to this cluster. Word Sense Disambiguation (WSD) is employed to discover the semantic meaning of a document. In this thesis, we propose a new method for Word Sense Disambiguation. The method is based on lexical chains and employs the taxonomy of WordNet. On the basis of the strength of the relationship between words, automatic disambiguating of word semantics can be accomplished by giving different weights. An evaluation of the method was done on Semantic Concordance Corpus (SemCor). The average percentage of correct resolutions achieved was 65.26%.
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