Delli Bovi, ClaudioEspinosa-Anke, LuisNavigli, Roberto2016-05-192016-05-192015Delli Bovi C, Espinosa-Anke L, Navigli R. Knowledge base unification via sense embeddings and disambiguation. In: The 2015 Conference on Empirical Methods in Natural Language; 2015 Sept 17-21; Lisbon, Portugal. [Stroudsburg]: ACL (Association for Computational Linguistics); 2015. p.726-36.http://hdl.handle.net/10230/26307Paper presented at The 2015 Conference on Empirical Methods in Natural Language; 2015 Sept 17-21; Lisbon, Portugal.We present KB-UNIFY, a novel approach for integrating the output of different Open Information Extraction systems into a single unified and fully disambiguated knowledge repository. KB-UNIFY consists of three main steps: (1) disambiguation of relation argument pairs via a sensebased vector representation and a large unified sense inventory; (2) ranking of semantic relations according to their degree of specificity; (3) cross-resource relation alignment and merging based on the semantic similarity of domains and ranges. We tested KB-UNIFY on a set of four heterogeneous knowledge bases, obtaining high-quality results. We discuss and provide evaluations at each stage, and release output and evaluation data for the use and scrutiny of the community.application/pdfeng© ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Licenseinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess