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Keyword search on RDF graphs: It is more than just searching for keywords

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9341 144-148
DOI: 10.1007/978-3-319-25639-9_28
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Abstract

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.

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APA

Stefanidis, K., & Fundulaki, I. (2015). Keyword search on RDF graphs: It is more than just searching for keywords. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9341, pp. 144–148). Springer Verlag. https://doi.org/10.1007/978-3-319-25639-9_28

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