Data Set Used
We present the design of a computer-aided environment, RMCase, to support the design and construction of hypermedia applications. The environment is based upon the Relationship Management methodology. RMCase supports hypermedia design and development activities. Support for cognitive design processes is achieved through three fundamental premises that form… (More)
The content and structure of a wiki evolve as a result of the collaborative eort of the wiki users. In semantic wikis, this also results in the evolution of the ontology that is implicitly expressed through the semantic annotations. Without proper guidance, the semantic wiki can evolve in a chaotic manner resulting in quality problems in the underlying… (More)
We present two behavioral patterns that we found by analyzing virtual environment element constellations. These behavioral patterns describe two situations: when a behavioral dependency occur between two any elements (compound pattern); and in a set of element when one of them collects the others (collector pattern).
CO-Protégé is a set of plugins that extends Protégé-2000 in order to support a collaborative developing of an ontology. In Co-Protégé people do not make a direct edition of the shared ontology, but also they change it through the publication of ontological artifact. Co-Protégé users manage simultaneously two ontologies the private ontology and the shared… (More)
This paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the… (More)
In this paper, we propose to extend Peer-to-Peer Semantic Wikis with personal semantic annotations. Semantic Wikis are one of the most successful Semantic Web applications. In semantic wikis, wikis pages are annotated with semantic data to facilitate the navigation, information retrieving and ontology emerging. Semantic data represents the shared knowledge… (More)
DBpedia is the semantic mirror of Wikipedia. DBpedia extracts information from Wikipedia and stores it in a semantic knowledge base. This semantic feature allows complex semantic queries, which could infer new relations that are missing in Wikipedia. This is an interesting source of knowledge to increase Wikipedia content. But, what is the best way to add… (More)