Exploring Semantic Constraints For Document Retrieval
نویسندگان
چکیده
In this paper, we explore the use of structured content as semantic constraints for enhancing the performance of traditional term-based document retrieval in special domains. First, we describe a method for automatic extraction of semantic content in the form of attribute-value (AV) pairs from natural language texts based on domain models constructed from a semistructured web resource. Then, we explore the effect of combining a state-ofthe-art term-based IR system and a simple constraint-based search system that uses the extracted AV pairs. Our evaluation results have shown that such combination produces some improvement in IR performance over the term-based IR system on our test collection.
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تاریخ انتشار 2006