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Vipul Kashyap ( kashyap@nlm.nih ) National Library of Medicine, NIH September 1, 2003

Vipul Kashyap ( kashyap@nlm.nih.gov ) National Library of Medicine, NIH September 1, 2003 Workshop on Data Quality, Dagstuhl, Germany. Trust and Quality for Information Integration: The Data-Metadata-Ontology Continuum. The Importance of Quality of Information and Trust.

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Vipul Kashyap ( kashyap@nlm.nih ) National Library of Medicine, NIH September 1, 2003

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  1. Vipul Kashyap (kashyap@nlm.nih.gov) National Library of Medicine, NIH September 1, 2003 Workshop on Data Quality, Dagstuhl, Germany Trust and Quality for Information Integration: The Data-Metadata-Ontology Continuum

  2. The Importance of Quality of Information and Trust

  3. * Thanks to Gunther Eysenbach

  4. Semantic Web: Information Aspects Ontological-terms (Domain, Application specific) Vocabulary used-by used-by Metadata Content (content descriptions, intensional) abstracted-into abstracted-into Data Representation (heterogeneous types, media)

  5. Role of Trust and Quality in Information Retrieval and Integration • Data Quality • Is this information source reliable, trustworthy? • Does a particular information source have better quality of data? • Impacts: • Entity matching and identification (Information Retrieval) • Record and ID matching (Information Integration) • Resolution of conflicting information • Relationship between DQ and DT • Is DQ = f(DT) • Or Trust = f(DQ) ? • Or is there some notion of fixpoint computation? • Relationship between the results and data quality • Answer = f(DT, DQ) ? • Do these parameters induce a ranking on the set of results?

  6. Role of Trust and Quality in Information Retrieval and Integration • Metadata Quality (MQ) and Metadata Trust (MT) • Trust/Reliability of metadata exported by information sources • Trust/Reliability of mappings/morphisms exported by the information source • Introduction of new dimensions into the equation: • MQ = f(DQ, MT) ? • MT = f(DT, MQ) ? • MQ and internal consistency • Are the mappings internally consistent with each other? • Use of category theory based structures? • Formalism to provide a mathematical basis for data quality?

  7. Role of Trust and Quality in Information Retrieval and Integration • Ontology Quality (OQ) • Structural Quality of the ontology • Notion of semantic richness • Notion of internal consistency (no contradictions) • Notion of completeness of domain coverage • “Atomic Quality” of the ontology: more directly correlated with Ontological Trust (OT) • Quality of concepts and relationships • Quality of axioms and contraints (for semantically rich ontologies) • Notion of “Ontological commitments” • OQ = f(Structural Quality) • Employ graph-based comparison approaches • OT = f(Atomic Quality) • Investigate “cultural” consensus analysis approaches

  8. Role of Trust and Quality in Information Retrieval and Integration • The Goal: • Identify and formalize interrelationships between the following dimensions • DQ/DT • MQ/MT • OQ/OT • Is it generalizable beyond information retrieval and integration? • Build on existing information retrieval and integration research • Evalution of End-to-End Impact • Quality/Trust of answers • f(DQ, DT, MQ, MT, OQ, OT) ? • Ranking of answers

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