The paper presents an ontological approach for enabling personalized searching framework facilitating the user access to desired contents. Through the ontologies the system will express key entities and relationships describing resources in a formal machine-processable representation. An ontology-based knowledge representation could be used for content analysis and concept recognition, for reasoning processes and for enabling user-friendly and intelligent content retrieval
Collaborative and Semantic Information Retrieval for Technology-Enhanced Learning / A. Carbonaro. - STAMPA. - 535:(2009), pp. 18-25. (Intervento presentato al convegno 3rd International Workshop on Social Information Retrieval for Technology-Enhanced Learning tenutosi a Aachen, Germany nel August 2009).
Collaborative and Semantic Information Retrieval for Technology-Enhanced Learning
CARBONARO, ANTONELLA
2009
Abstract
The paper presents an ontological approach for enabling personalized searching framework facilitating the user access to desired contents. Through the ontologies the system will express key entities and relationships describing resources in a formal machine-processable representation. An ontology-based knowledge representation could be used for content analysis and concept recognition, for reasoning processes and for enabling user-friendly and intelligent content retrievalI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.