Query expansion in an abductive information retrieval system
作者： Ulrich Thiel , Adrian Müller
DOI:
关键词: Ranking (information retrieval) 、 Computer science 、 Information retrieval 、 Sargable 、 Human–computer information retrieval 、 Concept search 、 Query language 、 Abductive reasoning 、 Query expansion 、 Query optimization
摘要: The problem of automatic query expansion is studied in the context a logic-based information retrieval system that employs - contrast to approaches based on deductive reasoning an abductive inference engine. Given query, abduction process yields set possible expansions query. An architecture for interactive proposed comprising schema-level representation documents' contents and structure, engine, user interface which allows control process. engine was tested collection SGML-structured texts. We report experimental results last section paper.
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