01751nas a2200205   4500008004100000245009600041210006900137260000900206300001400215490000600229520107200235653001101307653001301318653002301331653001401354100001801368700001801386700002401404856011701428       2006                        eng d00aGraphOnto: OWL-based ontology management and multimedia annotation in the DS-MIRF framework0 aGraphOnto OWLbased ontology management and multimedia annotation  c2006  a214 - 2190 v43 aWe present here GraphOnto, a software component and an API that allow the definition and editing of both standard-based and domain OWL ontologies and their use in multimedia information system components. In our working environment an OWL Upper Ontology that captures the MPEG-7 MDS is utilized and OWL domain ontologies extend the upper ontology with domain knowledge. The ontologies imported in GraphOnto are parsed so that graphical ontology browsing and editing interfaces are automatically generated. The ontologies are used to guide the semantic multimedia annotation in a standardized manner. OWL Ontology mappings, expressed using OWL constructs, are supported and allow the definition of personalized ontologies. Personalization of the GraphOnto user interface on the application, task and user levels is provided. In addition, GraphOnto interoperates with an MPEG-7 Repository both for semantic entity reuse during multimedia content annotation and for semantic description storage. GraphOnto has been evaluated against Protégé and clearly outperforms it.10aMPEG 710aOntology10aOntology standards10aSemantics1 aPolydoros, P.1 aTsinaraki, C.1 aChristodoulakis, S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33845937025&partnerID=40&md5=b72758db21f6febb306c3712ffb375fb01551nas a2200217   4500008004100000245005000041210005000091260000900141300001400150490000600164520089000170653001801060653002101078653003001099653001101129653002501140100001901165700001501184700001701199856011701216       2006                        eng d00aSome issues in the art image database systems0 aSome issues in the art image database systems  c2006  a227 - 2320 v43 aIn this paper we illustrate several aspects of art databases, such as: the spread of the multimedia art images; the main characteristics of art images; main art images search models; unique characteristics for art image retrieval; the importance of the sensory and semantic gaps. In addition, we present several interesting features of an art image database, such as: image indexing; feature extraction; analysis on various levels of precision; style classification. We stress color features and their base, painting analysis and painting styles. We study also which MPEG-7 descriptors are best for fine painting images retrieval. An experimental system is developed to see how these descriptors work on 900 art images from several remarkable art periods. On the base of our experiments some suggestions for improving the process of searching and analysis of fine art images are given.10aArt databases10aImage processing10aImage search and analysis10aMPEG 710aMultimedia databases1 aStanchev, P.L.1 aJr., Green1 aDimitrov, B.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33845946404&partnerID=40&md5=1b636067433b4b642b3499b0c6712dff01471nas a2200205   4500008004100000245014500041210006900186260000900255300001400264490000600278520073700284653001101021653003101032653001301063653001401076100002001090700001401110700002401124856011701148       2006                        eng d00aUser interactions with multimedia repositories using natural language interfaces - OntoNL: An architectural framework and its implementation0 aUser interactions with multimedia repositories using natural lan  c2006  a220 - 2260 v43 aWe present a generalized architectural framework for constructing and using natural language interfaces for interactions with multimedia repositories. The system allows the users to specify natural language queries about the multimedia content with rich semantics. It uses an extensive set of methodologies and tools for linguistic processing, and utilizes the MPEG-7 and the domain ontologies to reduce the ambiguities in the natural language and to rank the results. We describe the implementation of this framework for supporting interactions with a multimedia repository, described with the MPEG-7 MDS (Multimedia Description Schemes) structures, that also uses User Profile information for better ranking of the result queries.10aMPEG 710aNatural language interface10aOntology10aSemantics1 aKaranastasi, A.1 aZotos, A.1 aChristodoulakis, S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33845925229&partnerID=40&md5=78be53ce109a805416d2c49e78d10de5