AskNow: A Framework for Natural Language Query Formalization in SPARQL.
ESWC(2016)
摘要
Natural Language Query Formalization involves semantically parsing queries in natural language and translating them into their corresponding formal representations. It is a key component for developing question-answering QA systems on RDF data. The chosen formal representation language in this case is often SPARQL. In this paper, we propose a framework, called AskNow, where users can pose queries in English to a target RDF knowledge base e.g.ï¾źDBpedia, which are first normalized into an intermediary canonical syntactic form, called Normalized Query Structure NQS, and then translated into SPARQL queries. NQS facilitates the identification of the desire or expected output information and the user-provided input information, and establishing their mutual semantic relationship. At the same time, it is sufficiently adaptive to query paraphrasing. We have empirically evaluated the framework with respect to the syntactic robustness of NQS and semantic accuracy of the SPARQL translator on standard benchmark datasets.
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