Analysing Entities, Topics and Events in Community Memories.
Paper in proceeding, 2013

his paper briefly describes the components of the ARCOMEM architecture concerned with the extraction, enrichment, consolidation and dynamics analysis of entities, topics and events, deploying text mining, NLP, and semantic data integration technologies. In particular, we focus on four main areas relevant to support the ARCOMEM requirements and use cases: (a) entity and event extraction from text; (b) entity and event enrichment and consolidation; (c) topic detection and dynamics; and (d) temporal aspects and dynamics detection in Web language and online social networks.


Elena Demidova

N. Barbieri

Stefan Dietze

Adam Funk

Gerhard Gossen

Diana Maynard

N. Papailiou

V. Plachouras

W. Peters

Y. Stavrakas

Thomas Risse

Nina Tahmasebi

Chalmers, Computer Science and Engineering (Chalmers)

Proc. of the first International Workshop on Archiving Community Memories

Areas of Advance

Information and Communication Technology

Subject Categories

Language Technology (Computational Linguistics)

Computer and Information Science

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