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.
Author
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