ANNA: Answering Why-Not Questions for SPARQL
نویسندگان
چکیده
Considerable effort has been made to improve the functionality and usability of SPARQL search engines. However, explaining missing items in the results of SPARQL queries or the so-called why-not questions remains in its infancy. Existing explanation models cannot be trivially extended to SPARQL queries because of the SPARQL-specific features in the data model and query operations. In this demonstration, we present a novel explanation system, ANNA (Answering why-Not questioNs for spArql), to explain why-not questions using a divide-and-conquer strategy. ANNA can visualize explanations to help users revise their initial queries to make the expected result-items presented. Experimental results on DBpedia prove that ANNA can generate high-quality explanations within a reasonable amount of time.
منابع مشابه
Answering Natural Language Questions with Intui3
Intui3 is one of the participating systems at the fourth evaluation campaign on multilingual question answering over linked data, QALD4. The system accepts as input a question formulated in natural language (in English), and uses syntactic and semantic information to construct its interpretation with respect to a given database of RDF triples (in this case DBpedia 3.9). The interpretation is ma...
متن کاملAnswering Natural Language Questions on RDF Knowledge base in French
While SPARQL is a powerful way of accessing linked data, using natural language is more intuitive for most users. A few question answering systems already exist for English, but none for French. Our system allows a user to query the DBpedia knowledge by asking questions in French, which are automatically translated into SPARQL queries. The system classifies questions by various types that are r...
متن کاملSPARQLtoUser: Did the Question Answering System Understand me?
In Question Answering (QA) systems, user questions are automatically converted into SPARQL queries. We present SPARQLtoUser, a simple method to produce a user understandable version of a SPARQL query so that the users can check what the QA system understood. Compared to existing similar methods, SPARQLtoUser is multilingual and is not restricted to one single KB, but easily portable to any KBs....
متن کاملQuerying biomedical Linked Data with natural language questions
Recent and intensive research in the biomedical area enabled to accumulate and disseminate biomedical knowledge through various knowledge bases increasingly available on the Web. The exploitation of this knowledge requires to create links between these bases and to use them jointly. Linked Data, the SPARQL language and interfaces in natural language question answering provide interesting soluti...
متن کاملSPARKLIS: a SPARQL Endpoint Explorer for Expressive Question Answering
Sparklis is a Semantic Web tool that helps users explore SPARQL endpoints by guiding them in the interactive building of questions and answers, from simple ones to complex ones. It combines the fine-grained guidance of faceted search, most of the expressivity of SPARQL, and the readability of (controlled) natural languages. No endpoint-specific configuration is necessary, and no knowledge of SP...
متن کامل