Skip to main content
Conference ProceedingsOPEN ACCESS

Ranking entities in a large semantic network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8798 254-258
DOI: 10.1007/978-3-319-11955-7_30
3Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

We present two knowledge-rich methods for ranking entities in a semantic network. Our approach relies on the DBpedia knowledge base for acquiring fine-grained information about entities and their semantic relations. Experiments on a benchmarking dataset show the viability of our approach.

Cite

CITATION STYLE

APA

Schuhmacher, M., & Ponzetto, S. P. (2014). Ranking entities in a large semantic network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8798, pp. 254–258). Springer Verlag. https://doi.org/10.1007/978-3-319-11955-7_30

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free