A complex inference service, that provides the user of a semantic annotation tool with a concise explanation of given modeling problem, like the knowledge base inconsistency.
Published in Chapter:
Semantic Annotation of Objects
Petr Kremen (Czech Technical University in Prague, Czech Republic), Miroslav Blaško (Czech Technical University in Prague, Czech Republic), and Zdenek Kouba (Czech Technical University in Prague, Czech Republic)
Copyright: © 2009
|Pages: 16
DOI: 10.4018/978-1-60566-650-1.ch011
Abstract
Compared to traditional ways of annotating multimedia resources (textual documents, photographs, audio/video clips etc.) by keywords in form of text fragments, semantic annotations are based on tagging such multimedia resources with meaning of objects (like cultural/historical artifacts) the resource is dealing with. The search for multimedia resources stored in a repository enriched with semantic annotations makes use of an appropriate reasoning algorithm. Knowledge management and Semantic Web communities have developed a number of relevant formalisms and methods. This chapter is motivated by practical experience with authoring of semantic annotations of cultural heritage related resources/objects. Keeping this experience in mind, the chapter compares various knowledge representation techniques, like frame-based formalisms, RDF(S), and description logics based formalisms from the viewpoint of their appropriateness for resource annotations and their ability to automatically support the semantic annotation process through advanced inference services, like error explanations and expressive construct modeling, namely n-ary relations.