Multilingual disambiguation of named entities using linked data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

One key step towards extracting structured data from unstructured data sources is the disambiguation of entities. With AGDIS-TIS, we provide a time-efficient, state-of-the-art, knowledge-base-agnostic and multilingual framework for the disambiguation of RDF resources. The aim of this demo is to present the English, German and Chinese version of our framework based on DBpedia. We show the results of the framework on texts pertaining to manifold domains including news, sports, automobiles and e-commerce. We also summarize the results of the evaluation of AGDISTIS on several languages.

Original languageEnglish
Title of host publicationProceedings of the ISWC 2014 Posters & Demonstrations Track
EditorsMatthew Horridge, Marco Rospocher, Jacco van Ossenbruggen
Number of pages4
Volume1272
Place of PublicationAachen
PublisherSun Site Central Europe (RWTH Aachen University)
Publication date20.10.2014
Pages101-104
Publication statusPublished - 20.10.2014
Externally publishedYes
EventISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italy
Duration: 21.10.201421.10.2014
Conference number: 13
https://ceur-ws.org/Vol-1272/

Bibliographical note

This work has been supported by the ESF and the Free State of Saxony and the FP7 project Geo-Know (GA No. 318159)