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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)
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)
The development of ontologies to the Semantic Web is based on the integration of existing ontologies favoring the modularization and reuse of them. These ontologies are used together in complex applications. However, how they are combined is usually hidden in the application code. The lack of an approach for explicitly expressing the way how ontologies are(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)
Many relations existing in DBpedia are missing in Wikipedia yielding up an information gap between the semantic web and the social web. Inserting these missing relations requires to automatically discover Wikipedia conventions. From pairs linked by a property p in DBpedia, we find path queries that link the same pairs in Wikipedia. We make the hypothesis(More)