Keyword Search on RDF Graphs: It Is More Than Just Searching for Keywords
Kostas Stefanidis, Irini Fundulaki · Lecture notes in computer science · 2015
In this paper, we propose a model for enabling users to search RDF data via keywords, thus, allowing them to discover relevant information without using complicated queries or knowing the underlying ontology or vocabulary. We aim at exploiting the characteristics of the RDF data to increase the quality of the ranked query results. We consider different dimensions for evaluating the value of results and achieving relevance, personalization and diversity. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.