We analyze the combined complexity of satisfiability for the resulting logics, as well as the data complexity of instance checking and answering positive existential queries. The main aim of this article is to carry out a thorough and systematic investigation of inference in extensions of the original DL-Lite logics along five axes: by (i) adding the Boolean connectives and (ii) number restrictions to concept constructs, (iii) allowing role hierarchies, (iv) allowing role disjointness, symmetry, asymmetry, reflexivity, irreflexivity and transitivity constraints, and (v) adopting or drop-ping the unique name assumption.
#VIETNAMESE WATER PUPPETRY SYMBOLISM SERIES#
The recently introduced series of description logics under the common moniker 'DL-Lite' has attracted attention of the description logic and semantic web communities due to the low computational complexity of inference, on the one hand, and the ability to represent conceptual modeling formalisms, on the other. Using these collaborative enrichment will enable active involvement to citizenship in recording their immaterial heritage. Preliminary results indicate that the semantic-based catalog is much more flexible than existing traditional catalogs. The scope has been validated in a pilot inventory with public access, that combine an Ontowiki instance, a new ontology based on UNESCO's classification, and the data of an existent Chilean ICH inventory.
#VIETNAMESE WATER PUPPETRY SYMBOLISM FREE#
This article proposes to introduce a participative inventory as a semantic wiki, combining the familiarity of the audience with the free text, the expressive power of ontologies, and the benefits of wikis for the controled social enrichment. Many traditional inventories become obsolete quickly because they present rigid data models and/or because data adquisition from scarce specialists are required. The increasing globalization has made the preservation of the Intangible Cultural Heritage (ICH) an urgent need, and the UNESCO's states parties have compromised to make collaborative inventories of ICH.
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