Entities, Topics and Events in Community Memories

Abstract

This paper briefly describes the components of theARCOMEMarchitecture 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 inWeb language and online social networks.