Knowledge-based and vertical-driven information retrieval
نویسندگان
چکیده
The paper introduces the architecture and functionality of the knowledge-based information retrieval technology developed at Vertical Search Works. A large-scale language-independent ontology is used during indexing, query analysis, and document retrieval as part of a web-scale vertical search engine. Three specific areas are examined: the knowledge resource, its visualization and editing toolbox, and ways of fine-tuning the ontology to enable intrinsic consistency checks will be discussed; using the knowledge resource for indexing and query analysis purposes, concentrating on how the ontology-driven semantic latching and disambiguation module tackles challenges arising from ambiguous input; tools for evaluating the performance of knowledge-based information retrieval available at Vertical Search Works.
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