Ontology-driven Keyword-based Search on Linked Data

摘要

Nowadays, the Web is experiencing a continuous change that is leading to the realization of the Semantic Web. Initiatives such as Linked Data have made a huge amount of structured information publicly available, encouraging the rest of the Internet community to tag their resources with it. Unfortunately, the amount of interlinked domains and information is so big that handling it efficiently has become really difficult for the final users. DBPedia, one of the biggest and most important Linked Data repositories, is a perfect example of this issue. In this paper, we propose an approach to provide the users with different domain views on a general data repository, allowing them to perform both keyword and navigational searches. Our system exploits the knowledge stored in ontologies to 1) perform efficient keyword searches over a specified domain, and 2) refine the user's domain searches. We focus on the case of DBPedia, as it mirrors the information stored in the Wikipedia, providing a semantic entry to it.