Named entities for hot topics ranking and ontology navigation aid

Authors:
Mírian Bruckschen;Renata Vieira;Sandro Rigo
Affiliations:
PUCRS, Porto Alegre, Brazil;PUCRS, Porto Alegre, Brazil;UNISINOS, São Leopoldo, Brazil
Venue:
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Year:
2009

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Abstract

This paper presents an application which relies on Natural Language Processing techniques to identify hot topics in a news portal. Named Entity Recognition, semantic tagging and identity identification are used to acquire knowledge of the domain, generate ontologies automatically and rank hot topics for the news in the portal.