Abstract
In this paper, a system for searching renting houses is presented. The system integrates Semantic Web technologies to provide house information to people who want to rent houses. It gathers data from multiple house renting websites and traffic websites to construct a graph database. It accepts a natural language query for searching renting houses, then translates it into a set of conjunctive queries and then to a set of Cypher queries upon the graph database, and finally evaluates the Cypher queries to return answers to the given query. The system can also relax the translated conjunctive queries to recommend more answers. All the returned answers are shown with explanations.
Cite
CITATION STYLE
Du, J., Qi, K., & Lin, C. (2016). A system for searching renting houses based on relaxed query answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9932 LNCS, pp. 542–546). Springer Verlag. https://doi.org/10.1007/978-3-319-45817-5_61
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