Multilingual disambiguation of named entities using linked data
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-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 language | English |
---|---|
Title of host publication | Proceedings of the ISWC 2014 Posters & Demonstrations Track |
Editors | Matthew Horridge, Marco Rospocher, Jacco van Ossenbruggen |
Number of pages | 4 |
Volume | 1272 |
Place of Publication | Aachen |
Publisher | Sun Site Central Europe (RWTH Aachen University) |
Publication date | 20.10.2014 |
Pages | 101-104 |
Publication status | Published - 20.10.2014 |
Externally published | Yes |
Event | ISWC 2014 Posters and Demonstrations Track, ISWC-P and D 2014, 13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italy Duration: 21.10.2014 → 21.10.2014 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)
- Informatics
- Business informatics