Question answering is the task of answering questions in natural language. Linked Data project and Semantic Web community made it possible for us to query structured knowledge bases like DBpedia and YAGO. Only expert users, however, with the knowledge of RDF and ontology definitions can build correct SPARQL queries for querying knowledge bases formally. In this paper, we present a method for mapping natural language questions to ontology-based structured queries to retrieve direct answers from open knowledge bases (linked data). Our tool is based on translating natural language questions into RDF triple patterns using the dependency tree of the question text. In addition, our method uses relational patterns extracted from the Web. We tested our tool using questions from QALD-2, Question Answering over Linked Data challenge track and found promising preliminary results.  Categories and Subject Descriptors Algorithms, Performance, Design, Experimentation. Question Answering, Pattern Extraction, Linked Data, Semantic Web. Recently, question answering on the web gained momentum due to the large structured knowledge bases such as DBpedia, Freebase, YAGO that regularly collect information from open and ever expanding knowledge resources such as Wikipedia. Linked data refers to the Web of data in contrast to In this paper, we present a method to translate natural language questions to linked data queries. We developed a tool that takes natural language questions, converts them to SPARQL 5 queries for DBpedia and answer the questions automatically. We explain our approach in detail in Section 2. In Section 3 we present the evaluation results and show that the method is capable of translating natural language questions to SPARQL queries and provide an answer. We present the related work in section 4 and 1 http://dbpedia.org 2
Hakimov et al developed and tested methods to answer natural language questions using linked data and relational patterns discovered in the Web REF .
Semantic question answering system over linked data using relational patterns
EDBT '13
Computer Science