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AIDA Toolkit: Enhancing Collaborative Data Discovery and Enrichment

The AIDA Toolkit facilitates groups of knowledge workers in collaboratively searching, annotating, interpreting, and enriching large collections of heterogeneous data across various locations. This generic toolkit incorporates ontologies (OWL, RDF) and features adaptive learning capabilities to improve querying and data retrieval. It operates using a service-oriented architecture and utilizes the Storage Resource Broker (SRB) for efficient data management. Key functionalities include query formulation, user support through disambiguation, advanced constraint recognition, and integration with existing research workflows, making it suitable for customized applications in various industrial contexts.

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AIDA Toolkit: Enhancing Collaborative Data Discovery and Enrichment

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  1. The AIDA Toolkit Edgar Meij, Sophia Katrenko, Willem van Hage, Machiel Jansen, Hap Kolb, Guus Schreiber, Jan van Eijck, Maarten de Rijke, Pieter Adriaans

  2. AID • Aims at groups of knowledge workers that cooperatively search/annotate/interpret/enrich large collections of heterogeneous data at various locations • A generic toolkit • Ontologies (OWL, RDF) • Adaptive: learns new models • Service oriented • Runs on the POC • Uses Storage Resource Broker (SRB)

  3. Adaptive Information Disclosure Formulate query Fire query Search Construct answer Display results User support: Alternatives Disambiguation Query Expansion Filtering Relevance- score Link to Concept tree Data Selection Preprocessing Named Entity Recognition Relation Recognition • Advanced • Constraint • Recognition Validation Version Manage- Ment Ontology Domain selection Ontology Learning Information Retrieval

  4. Future developments • Services in workflow: template application • Customized applications for Industrial partners • Integration of current research (Query Construction, Ontology mapping, Ontology learning) • More integration with Grid environment

  5. Demo

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