Abstract
Finding a consensus between communities to create an ontology is a difficult task. An evolutionary process where domain experts and knowledge engineers work together intensively is needed to support collaborative communities in defining a common ontology. These communities model their view of a particular concept while knowledge engineers try to find a consensus. Negotiation, finding similarities and defining new points of interests are important processes to achieve such a consensus. To aid these processes we present several algorithms, built upon a state-of-the-art community grounded ontology evolution methodology. These algorithms are illustrated with an example.
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Debruyne, C., Peeters, J., Arrassi, A.Z. (2008). Semi-automated Consensus Finding for Meaning Negotiation. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_38
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DOI: https://doi.org/10.1007/978-3-540-88875-8_38
Publisher Name: Springer, Berlin, Heidelberg
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