KnowBest is a system that has been designed to support recording/replaying/sharing best practices involving social software tools in an emergent coordination context. One of the main components of the system is a semantic wiki that, through the social management of content and its associated annotations, makes available semantically-enriched information that can be machine processed and exploited and reasoned upon allowing the development of inference-based applications. In order for this class of applications to be effective, the structure of the semantic knowledge is of fundamental importance. Not always, in fact, the use of pre-defined, accurately designed ontologies is possible (which is mostly true for wikis where not just the knowledge but also its structure is synthesized from social interactions). In this paper we show how it is possible to effectively support emergent ways of organizing knowledge with a two-layers approach in which a pre-defined core structure can be freely extended with domain-related concepts by exploiting semantic wikis' editing facilities, we apply this approach in the implementation of KnowBest's recommender, a component designed to leverage semantic inference in order to provide suggestions about existing best practices to the users in a way that is similar to what a car navigation system does for car drivers.
Di Iorio, A., Rossi, D., Turrini, E. (2014). Exploiting semantic knowledge in KnowBest. IEEE press [10.1109/WETICE.2014.8].
Exploiting semantic knowledge in KnowBest
DI IORIO, ANGELO;ROSSI, DAVIDE;TURRINI, ELISA
2014
Abstract
KnowBest is a system that has been designed to support recording/replaying/sharing best practices involving social software tools in an emergent coordination context. One of the main components of the system is a semantic wiki that, through the social management of content and its associated annotations, makes available semantically-enriched information that can be machine processed and exploited and reasoned upon allowing the development of inference-based applications. In order for this class of applications to be effective, the structure of the semantic knowledge is of fundamental importance. Not always, in fact, the use of pre-defined, accurately designed ontologies is possible (which is mostly true for wikis where not just the knowledge but also its structure is synthesized from social interactions). In this paper we show how it is possible to effectively support emergent ways of organizing knowledge with a two-layers approach in which a pre-defined core structure can be freely extended with domain-related concepts by exploiting semantic wikis' editing facilities, we apply this approach in the implementation of KnowBest's recommender, a component designed to leverage semantic inference in order to provide suggestions about existing best practices to the users in a way that is similar to what a car navigation system does for car drivers.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
