AELA: an adaptive entity linking approach

Authors:
Bianca Pereira;Nitish Aggarwal;Paul Buitelaar
Affiliations:
Digital Enterprise Research Institute, National University of Ireland Galway, Galway, Ireland;Digital Enterprise Research Institute, National University of Ireland Galway, Galway, Ireland;Digital Enterprise Research Institute, National University of Ireland Galway, Galway, Ireland
Venue:
Proceedings of the 22nd international conference on World Wide Web companion
Year:
2013

Citing 3
Cited 0

Collective entity linking in web text: a graph-based method

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Graph-based named entity linking with wikipedia

WISE'11 Proceedings of the 12th international conference on Web information system engineering
DBpedia spotlight: shedding light on the web of documents

Proceedings of the 7th International Conference on Semantic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The number of available Linked Data datasets has been increasing over time. Despite this, their use to recognise entities in unstructured plain text (Entity Linking task) is still limited to a small number of datasets. In this paper we propose a framework adaptable to the structure of generic Linked Data datasets. This adaptability allows a broader use of Linked Data datasets for the Entity Linking task.