Vermelding onderdeel organisatie 5 maart The future of databases DBDM 07/08 Leiden Bas van den Berg, Patrick van Kouteren, Rosa Meijer, Mathijs Sanders Applications in future data basing: High-level property driven content retrieval through RDF and OWL

History Resource Description Framework (RDF) is published in 1999 Used to define statements/properties about a resource Web Ontology Language (OWL) roots start in the year 2001 OWL is an ontology language defining description of classes, along with their related properties and instances OWL can be used to process different resources to infer knowledge 2

3 Long-Range Research Goal Relating and integrating various data by means of standardized descriptions Have a standardized format for easy access querying Uniform way of searching through any type of content

4 Usefulness Making information on the web processible for automated computer applications Property-driven query results Comparing multimedia objects by specific properties Problem of ambiguous object names resolved Better data integration due to standardization

5 Example: Detection of Audio Fingerprint Extracted from Precomputed short music fragment fingerprint in RDF Compare with metadata in the RDF

6 Performance Measure Qualitative: user experience (after improvement, ask the same people for their opinion) Performance: Hard to measure, one could depict if a certain query on the RDFs return the expected result as a performance of the current system

7 Current state of the art RDF: Currently more applications make use of RDF (RSS tools, Musicbrainz, Bioinformatics), but is not yet a well known technology OWL: used for inferring knowledge through logical rules about resources (even interdisciplinary resources) POWDER: a protocol for publishing descriptions of (e.g. metadata about) web resources using RDF, OWL and HTTP

8 Intermediate milestones Increase of usage RDF and OWL Metadata of multimedia objects, like audio or video signals Usage of OWL for knowledge inference The design for algorithms and usage of OWL for interdisciplinary (different resources) knowledge inference. One can think of finding similar images in a video to the input image

9 Main challenges Introducing the new technology must be done gradually. It should be backwards compatible at the beginning, but it also has to offer sufficient functionality to be useful and attractive to use Adapting the RDF, OWL and POWDER standards to fit the needs of the market

10 Conclusion In the future one can use an efficient and property- driven query for searching for resources through RDF The use of these metadata formatting technologies are appearing more often in applications and different fields of research RDF can supply the needs of the current areas which are boosting at this very moment (YouTube, Flickr, BLAST,..). The abstract, but descriptive approach of RDF is highly suitable for these type of areas

11 References S.Decker, S.Melnik, D. Fensel, et al.: The Semantic Web, IEEE Computing october 2000 N. Shadbolt, W. Hall, T. Berners-Lee: The Semantic Web revisited, IEEE june 2006 J. Pan, I. Horrocks: Adding customised datatypes into OWL, Elsevier july 2005 C.Sanin, E. Szczerbicki, C. Toro: An OWL Ontology of Set of Experience Knowledge Structure, Journal of Universal Computer Science vol. 13 february 2007