LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
The paper “AIDA: An Online Tool for Accurate Disambiguation of Named Entities in Text and Tables” co-written by M. A. Yosef, J. Hoffart, I. Bordino, M. Spaniol and G. Weikum has been published in the Proceedings of the 37th Intl. Conference on Very Large Databases VLDB 2011, in Seattle, WA, USA, on August 29 – September 3, 2011.
We present AIDA, a framework and online tool for entity detection and disambiguation. Given a natural-language text or a Web table, we map mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base like DBpedia, Freebase, or YAGO. AIDA is a robust framework centred around collective disambiguation exploiting the prominence of entities, similarity between the context of the mention and its candidates, and the coherence among candidate entities for all mentions. We have developed a Web-based online interface for AIDA where different formats of inputs can be processed on the ﬂy, returning proper entities and showing intermediate steps of the disambiguation process.