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- Demidova, Elena, et al.
(författare)
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Analysing Entities, Topics and Events in Community Memories.
- 2013
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Ingår i: Proc. of the first International Workshop on Archiving Community Memories.
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Konferensbidrag (refereegranskat)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) topicdetection and dynamics; and (d) temporal aspects and dynamics detection in Web language and online social networks.
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2. |
- Tahmasebi, Nina, 1982, et al.
(författare)
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Visions and open challenges for a knowledge-based culturomics
- 2015
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Ingår i: International Journal on Digital Libraries. - : Springer Science and Business Media LLC. - 1432-5012 .- 1432-1300. ; 15:2-4, s. 169-187
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Tidskriftsartikel (refereegranskat)abstract
- The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language phenomena over time. Thus far however, culturomics has only made use of, and shown the great potential of, statistical methods. In this paper, we present a vision for a knowledge-based culturomics that complements traditional culturomics. We discuss the possibilities and challenges of combining knowledge-based methods with statistical methods and address major challenges that arise due to the nature of the data; diversity of sources, changes in language over time as well as temporal dynamics of information in general. We address all layers needed for knowledge-based culturomics, from natural language processing and relations to summaries and opinions.
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