BibTeX

@inProceedings{demidova-etal-2013-analysing-191624,
	title        = {Analysing Entities, Topics and Events in Community Memories. },
	abstract     = {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.},
	booktitle    = {Proc. of the first International Workshop on Archiving Community Memories},
	author       = {Demidova, Elena and Barbieri, N. and Dietze, Stefan and Funk, Adam and Gossen, Gerhard and Maynard, Diana and Papailiou, N. and Plachouras, V. and Peters, W. and Stavrakas, Y. and Risse, Thomas and Tahmasebi, Nina},
	year         = {2013},
}