Moreover, our electronic dictionary, calledįdsa, will be freely available very soon for stand-alone use. Tasks or for information retrieval applications than other traditional approaches. This process allows us to define synonymy as a gradual relation, which makes the final tool more suitable for word sense disambiguation To transform the original dictionary into a computational framework capable of representing semantic relations between words. In addition, we implement a Spanish dictionary of synonyms and illustrate how our general model helps In this modelling, efficient access to this information is guaranteed by the use of minimal deterministic acyclicįinite-state automata. processing applications which is able to store a considerable amount of data relating to the words contained in theseĭictionaries. We then present a general architecture for implementing large dictionaries in natural This problem and its presence in search engines, with special emphasis on the use of thesaurus in order to increase the numberĪnd relevance of the documents retrieved. We start by analyzing the role of imprecision in information retrieval in the Web, some theoretical contributions for managing Mapping results found between end-user query terms and the ProQuest® Controlled Vocabulary (1997) (the thesaurus used in this study) are reported, and future research foci related to the investigation are discussed. Recall-based and a precision-based ranking orders for automatic QE via semantically encoded thesauri terminology were identified. The research found that automatic QE via SYNs and NTs increased relative recall with a decline in precision that was not statistically significant, and that automatic QE via RTs and BTs increased relative recall with a decline in precision that was statistically significant. This article reports on an experiment that examined whether thesaurus terms, related to query in a specified semantic way (as synonyms and partial-synonyms (SYNs), narrower terms (NTs), related terms (RTs), and broader terms (BTs)), could be identified as having a more positive impact on retrieval effectiveness when added to a query through automatic QE.
Despite the fact that these tools provide a rich semantic network of vocabulary terms, they are seldom employed for automatic query expansion (QE) activities. Structured thesauri encode equivalent, hierarchical, and associative relationships and have been developed as indexing/retrieval tools.
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