Metadata Schema for CERIF Andrei Lopatenko Vienna University of Technology

What we have now  SGML DTD to describe CERIF data (old version of CERIF)  SGML is used for data exchange between national institutions and ERGO  SGML DTD is only for old version of CERIF (projects)  Strictly defined structure and semantic of elements

What we need  Metadata format to describe the CERIF-2000 data (with new entities, attributes)  Due to diversity of data descriptions in different countries, institutions it should be possible to extend schema with expressing meaning of new elements

Possible solution  Semantic Web – RDF (Resource Description Framework) to encode data, DAML + OIL (DARPA Agent Markup Language + Ontology Inference Layer) to express semantic of classes and attributes

Advantages  The direct way to Knowledge Management solution  The possible way to solve problems of different vocabularies, classifications. Ready to work in heterogeneous distributed environment  Easy to implement contrasting to KIF/KQML, Description Logic solutions

Advantages  XML experience can be utilized for development SW solutions  XML compatibility makes solution close to industry solutions  Semantic richness of SW makes possible to developed advanced information retrieval over SW encoded data  Already developed tools can be applied

Disadvantages  XML experience is not enough. Developed should be taught to SW  Not so powerful as complete Description Logic solutions  Not so efficient on huge volumes of data as traditional database technologies (replication)

DAML + OIL  Allows to describe hierarchical relations between classes of data  Allows to specify classes (create vocabulary!) of data using slot restrictions Example: “Workshop” is “Event” “EU project” is a “Project”, which value of attribute “funding organization” is an object of class “European Funding Organization”

DAML + OIL  Distributed ontologies My (AURIS-MM) project is a subClassOf CERIF:Project.  Tools for ontology checking (Description Logics, CLOS based theory for DAML )  Tools for ontology development  Tools for ontology visualization

DAML + OIL  Advanced information retrieval solutions  Implemented and tested  Projects: EU Projects (On-To-Knowledge, KA3:IAF ), DARPa project CAKE, WebScript, DAML Services, Knowledge Creation tools for DAML, ASCS, etc  See, derpi.tuwien.ac.at/~andrei/DAML.htmwww.cordis.luwww.darpa.mil

DAML + OIL  Developed the first version of ontology  dc-mn.daml dc-mn.daml  Mapping (as a subclass relations and axioms) to other well-known schemas (DublinCore and MathNet)  Tested for simple information retrieval operations (but including semantic information)

DAML + OIL example of schema CERIF.Workshop 16:19:

DAML + OIL  Easy creation of custom vocabularies based on shared vocabularies  Easy specification of which classes (multiple classes possible) instantiate given object

DAML + OIL  Example:  Publications database: classes for researchers: Dissertation, Conference article, Journal article, Journal with evaluations, Patent  Classes for university administration:  Class A (score 2): International Patent,  Class B (score 1): Journal Article in International journal which is Journal with Evaluation

DAML + OIL  Created hierarchy of slots what makes information retrieval more clear and easy to implement Example: full-text search operations based on “full-text description” slot (attribute) project_abstract, project_title, project_desription are subslots of “full-text description” If new slot added “project_last_year_summary” to include it nto full text search it would be enough tp specify it as a subslot of “full-text description”

DAML + OIL Example of class hierarchy: from extended CERIF

RDF  DAML + OIL specifies schema. Also possible to encode data (“instances”) in DAML  For EuroCRIS we propose use RDF as encoding format  RDF description should be consistent with DAML + OIL Schema

RDF  Developed a toolset to export/import data CERIF database CERIF RDF  Toolset to query CERIF RDF data (now very simple information retrieval operation but distributed and with semantic)  Toolset to get data from CERIF RDF and put into Prolog knowledge base is beeing developed

Current work  RDF version of CERIF Knowledge Management solution for research but data store is RDF  New advanced information retrieval possibilities for CERIF

Proposal  For testing try to use DAML + OIL and RDF for data sharing and distributed retrieval operation between different EuroCRIS organization  Create and deploy advanced IR solution based on CERIF RDF and compatible with any CERIF database. Make it free and a par of CERIF implementation