Revealing semantic relations in learning object structure (Contributo in atti di convegno)

Type

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

Label

• Revealing semantic relations in learning object structure (Contributo in atti di convegno) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

Alternative label

• Taibi, D., Gentile, M., Fulantelli, G., Allegra, M. (2007)
  Revealing semantic relations in learning object structure
  in 7th WSEAS International Conference on APPLIED INFORMATICS AND COMMUNICATIONS (AIC'07), Vouliagmeni (Greece), 24-26 Agosto 2007
  (literal)

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

• Taibi, D., Gentile, M., Fulantelli, G., Allegra, M. (literal)

Pagina inizio

• 246 (literal)

Pagina fine

• 251 (literal)

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

• http://www.wseas.us/e-library/conferences/2007athensel/papers/564-414.pdf (literal)

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

• Proceedings of the 7th WSEAS International Conference on Applied Informatics and Communications (literal)

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

• 6 (literal)

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

• In the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective, we have developed FreeLOms, a Learning Object Management System aimed at managing learning objects according to the new OpenLO model. In this work we present our proposal for extracting semantic relations from the structure of existing SCORM-compliant learning resources using the semantic web technologies. Semantic web technologies encourage a multiplicity of analyses and dynamic organizations of resources through reasoning about the related concepts and relations. The benefits of this kind of functionalities offered by the FreeLOms platform are reflected mainly in the reusability of the learning objects. (literal)

Note

• ISI Web of Science (WOS) (literal)
• Google Scholar (literal)

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

• Consiglio Nazionale delle Ricerche Istituto per le Tecnologie Didattiche (literal)

Titolo

• Revealing semantic relations in learning object structure (literal)

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

• 978-960-8457-96-6 (literal)

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

• Le, MH; Demiralp, M; Mladenov, V; Bojkovic, Z (literal)

Abstract

• In the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective, we have developed FreeLOms, a Learning Object Management System aimed at managing learning objects according to the new OpenLO model. In this work we present our proposal for extracting semantic relations from the structure of existing SCORM-compliant learning resources using the semantic web technologies. Semantic web technologies encourage a multiplicity of analyses and dynamic organizations of resources through reasoning about the related concepts and relations. The benefits of this kind of functionalities offered by the FreeLOms platform are reflected mainly in the reusability of the learning objects. (literal)

Editore

• World Scientific and Engineering Academy and Society (WSEAS) (Editore)

Prodotto di

• Progettare la qualita' dell'e-learning (IC.P03.006.001) (Modulo)

Autore CNR

• MARIO ALLEGRA (Persona)
• MANUEL GENTILE (Unità di personale interno)
• GIOVANNI FULANTELLI (Unità di personale interno)
• DAVIDE TAIBI (Persona)

Insieme di parole chiave

• Parole chiave di "Revealing semantic relations in learning object structure" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• MANUEL GENTILE (Unità di personale interno)
• MARIO ALLEGRA (Persona)
• GIOVANNI FULANTELLI (Unità di personale interno)
• DAVIDE TAIBI (Persona)

Prodotto

• Progettare la qualita' dell'e-learning (IC.P03.006.001) (Modulo)

Editore di

• World Scientific and Engineering Academy and Society (WSEAS) (Editore)

Insieme di parole chiave di

• Parole chiave di "Revealing semantic relations in learning object structure" (Insieme di parole chiave)