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Exploring term networks for semantic search over RDF knowledge graphs

: Marx, Edgard; Höffner, Konrad; Shekarpour, Saeedeh; Ngonga Ngomo, Axel-Cyrille; Lehmann, Jens; Auer, Sören


Garoufallou, E.:
Metadata and semantics research. 10th international conference, MTSR 2016 : Göttingen, Germany, November 22-25, 2016; Proceedings
Cham: Springer International Publishing, 2016 (Communications in computer and information science 672)
ISBN: 978-3-319-49156-1 (Print)
ISBN: 978-3-319-49157-8 (Online)
International Conference "Metadata and Semantics Research" (MTSR) <10, 2016, Göttingen>
Fraunhofer IAIS ()

Information retrieval approaches are considered as a key technology to empower lay users to access the Web of Data. A large number of related approaches such as Question Answering and Semantic Search have been developed to address this problem. While Question Answering promises more accurate results by returning a specific answer, Semantic Search engines are designed to retrieve the best top-K ranked resources. In this work, we propose *path, a Semantic Search approach that explores term networks for querying RDF knowledge graphs. The adequacy of the approach is evaluated employing benchmark datasets against state-of-the-art Question Answering as well as Semantic Search systems. The results show that *path achieves better F1-score than the currently best performing Semantic Search system.