http://www.cnr.it/ontology/cnr/individuo/prodotto/ID287133

Innovation, language, and the web (Contributo in atti di convegno)

Type

Contributo in atti di convegno (Classe)
Prodotto della ricerca (Classe)

Label

Innovation, language, and the web (Contributo in atti di convegno) (literal)

Anno

2013-01-01T00:00:00+01:00 (literal)

Alternative label

Marzi, Claudia (2013)
Innovation, language, and the web
in Fourteenth International Conference on Grey Literature, CNR, Rome Italy, 29-30 November 2012
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Marzi, Claudia (literal)

Pagina inizio

153 (literal)

Pagina fine

159 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

Tracking innovation thorugh grey literature (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

GL conference series, N. 14 - ISSN 1386-2316 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

14 (literal)

Rivista

?The ?GL-conference series. Conference proceedings (Rivista)

Note

PuMa (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Institute for Computational Linguistics - Italian National Research Council (ILC-CNR, Pisa) (literal)

Titolo

Innovation, language, and the web (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

978-90-77484-20-3 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

D.J. Farace, J. Frantzen, GreyNet (literal)

Abstract

Language conveys ideas which are essential in innovation. Every linguistic choice is meaningful, and involves the parallel construction of form and meaning. In this prospective, language is a dynamic knowledge construction process. I investigated how words are used to describe innovation, and how innovation topics can influence word usage and collocational behaviour. This brings into focus the dynamic interplay between lexical creativity and innovative pragmatic contexts. The lexical representation of innovative knowledge in a context-based approach is closely related to the representation of knowledge itself, and represents the opportunity to reduce the gap between knowledge representation and knowledge understanding. The main goal is to focus on how words become a vehicle for knowledge generation, and for innovation transfer. The meaning of words can change over time and words can take on new senses when used in novel contexts. Words with emergent novel senses often reflect an extension of use from one domain to another. Many words have more than one sense, or usage, and they occur in a very irregular distribution. Thus, semantically ambiguous words and polysemous words can be disambiguated by defining the context. The proposed study is based on NLP technologies, and word sense disambiguation is identified by focusing on similarity in context. With particular reference to innovative domains I selected words that present a potentially high degree of semantic ambiguity and polysemy, and compared collocations in different contexts, such as the brain sciences, the field of knowledge management processes, and the field of information technologies (by focusing on these test words: IMAGING, RETENTION, STORAGE, CORPUS, NETWORK, GRID). The upshot of my investigation is that innovative knowledge requires a dynamic semantic shift from context-driven vagueness to domain-driven specialisation. (literal)

Editore