Nowadays the World Wide Web has become the most important platform for publishing scientific materials. The first advantages of online publication are instant access and easy, low-cost, distribution and duplication. But of great impact in middle term success of electronic publication is the availability of systems that support citation and metrics to evaluate the performances of the different actors in the scientific sector. EPICA is an new infrastructure technology supporting integration of uniform and persistent naming systems and declarative expression of metrics used to asses performances. This way independent actors are allowed to cooperate in a common infrastructure. The key element to support this integration is the semantic mapping between metrics and scientific publications available in the Web. This paper discusses this vision and proposes preliminary results related to the definition of a Metrics Assessment Data Model to express this semantic mapping.
EPICA: Easy persistent identifier common architecture / Ceravolo, Paolo; Bellini, Emanuele. - ELETTRONICO. - 6428:(2010), pp. 626-634. (Intervento presentato al convegno 9th Confed. Int. Workshops and Posters on On the Move to Meaningful Internet Systems, OTM 2010: AVYTAT 2010, ADI 2010, DATAVIEW 2010, EI2N 2010, ISDE 2010, MONET 2010, OnToContent 2010, ORM 2010, P2P-CDVE 2010, SeDeS 2010, SWWS 2010 and OTMA 2010 tenutosi a Crete, grc nel 2010) [10.1007/978-3-642-16961-8_87].
EPICA: Easy persistent identifier common architecture
Ceravolo, Paolo;Bellini, Emanuele
2010
Abstract
Nowadays the World Wide Web has become the most important platform for publishing scientific materials. The first advantages of online publication are instant access and easy, low-cost, distribution and duplication. But of great impact in middle term success of electronic publication is the availability of systems that support citation and metrics to evaluate the performances of the different actors in the scientific sector. EPICA is an new infrastructure technology supporting integration of uniform and persistent naming systems and declarative expression of metrics used to asses performances. This way independent actors are allowed to cooperate in a common infrastructure. The key element to support this integration is the semantic mapping between metrics and scientific publications available in the Web. This paper discusses this vision and proposes preliminary results related to the definition of a Metrics Assessment Data Model to express this semantic mapping.
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
