1. ANALYZING AND RANKING MULTIMEDIA ONTOLOGIES FOR THEIR REUSE Date: 27/02/11 Speaker: Ghislain Auguste Atemezing Master Thesis Máster de investigación en inteligencia artificial Author: Ghislain Auguste Atemezing Supervisor: Dr. María del Carmen Suárez de Figueroa Baonza

8. Introduction (VI) Main objective : To search, find, analyze, rank and select suitable multimedia (MM) ontologies to be reused in the development of a multimedia ontology called M3 (Multimedia-Multidominio-Multilingüe) Goal 1 : To o btain a rank of MM ontologies to select the most appropriate ones that will be reused in the development of the M3 ontology. Goal 2 : To d escribe in detail and in a pedagogic way an example of how to apply the methodological guidelines for reusing ontologies in the multimedia domain. Analyzing and Ranking Multimedia Ontologies for their Reuse

12. MPEG 7 Standard: “Multimedia Content Description” Analyzing and Ranking Multimedia Ontologies for their Reuse Descriptors Components Visual Features Color, Texture, Shape, Motion, Localization, Face recognition. Color Descriptors Color space, Color Quantization, Dominant Colors, Scalable Color, Color Layout, Color-Structure, GoF/GoP Color. Texture Descriptors Homogeneous Texture, Edge Histogram, Texture Browsing Shape Descriptors Region Shape, Contour Shape, Shape 3D Motion Descriptors Camera Motion, Motion Trajectory, Parametric Motion, Motion Activity Localization Descriptors Region locator, Spatio-temporal locator Audio Framework Basic (AudioWaveform, AudioPower), Basic Spectral, Timbral Temporal and Timbral Spectral

20. Semantic Web Engines (SWEs) Analyzing and Ranking Multimedia Ontologies for their Reuse Semantic Web Engines are applications for finding ontologies where queries are usually written as natural language keywords and results are ranked . RDF-based search engines Ontology-based search engines Hybrid-based search engine

22. Searching ontologies based on requirements ANALYZING AND RANKING MULTIMEDIA ONTOLOGIES FOR THEIR REUSE ORSD Functional requirements Non Functional requirements

23. Tasks for searching MM ontologies (I) Analyzing and Ranking Multimedia Ontologies for their Reuse Terms translated into English Terms extracted from the ORSD

24. Tasks for searching MM ontologies (II) Analyzing and Ranking Multimedia Ontologies for their Reuse

25. Tasks for searching MM ontologies (III) Analyzing and Ranking Multimedia Ontologies for their Reuse But there are missing ontologies from SoA!! 25 ontologies retrieved with Swoogle

26. Tables of candidate MM ontologies: Unification process Analyzing and Ranking Multimedia Ontologies for their Reuse List of 40 ontologies : SWE + SoA

28. Analysis based on requirements (I) Analyzing and Ranking Multimedia Ontologies for their Reuse 1-The competency questions (CQs) and one ontology selected from the searching activity. The result is a set of CQs identifiers that cover the given ontology. 3-Open the ontology to analyze in the Neon Toolkit. Open also the document with the list of CQs.

29. Analysis based on requirements (II) Analyzing and Ranking Multimedia Ontologies for their Reuse 4- For each CQs, detect the relevant categories and create a list of "Relevant Categories" (RelevCat). Example : " What are Audio Format ", with the answer: " AVI, MP3 "; RelevCat={Format, Audio, AVI, MP3}. 5- The matching task consists of finding for each term of the relevant categories, its presence in the ontology as a class or an individual . Update (CQ identifier)

30. Assessment table/ ”useful” ontologies Analyzing and Ranking Multimedia Ontologies for their Reuse Heuristic IF ( SimilarScope) OR ( Similar Purpose) OR ( Functional RequirementsCovered ) = No Then NotUseful ( CandidateOntology ) EliminateFromSetCandidate (CandidateOntology) Some wrong situations [Suárez-Figueroa, 2010] 26 “useful” ontologies: 12: SoA 14: SWE

43. End Thanks! Analyzing and Ranking Multimedia Ontologies for their Reuse

44. ANALYZING AND RANKING MULTIMEDIA ONTOLOGIES FOR THEIR REUSE Date: 27/02/11 Speaker: Ghislain Auguste Atemezing Master Thesis Máster de investigación en inteligencia artificial Author: Ghislain Auguste Atemezing Supervisor: Dr. María del Carmen Suárez de Figueroa Baonza