rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Schema Matching and Mapping
  name:
    name part: Bellahsene, Zohra.
    role:
      role term: editor.
  name:
    name part: Bonifati, Angela.
    role:
      role term: editor.
  name:
    name part: Rahm, Erhard.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 320 p. online resource.
  abstract: Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field. With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.
  table of contents: Part I: Large-scale and knowledge-driven schema matching. 1. Towards large-scale schema and ontology matching. 2. Interactive techniques to support ontology matching. 3. Enhancing the capabilities of attribute cor­respondences. 4. Uncertainty in data integration and dataspace support platforms -- Part II: Quality-driven schema mapping and evolution. 5. Discovery and correctness of schema mapping transformations. 6. Recent advances in schema and ontology evolution. 7. Schema mapping evolution through composition and inversion. 8. Mapping-based merg­ing of schemas -- Part III: Evaluating and tuning of matching tasks. 9. On evaluating schema matching and mapping. 10. Tuning for schema matching.
  note: edited by Zohra Bellahsene, Angela Bonifati, Erhard Rahm.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical logic
  subject:
    topic: Database management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Data-Centric Systems and Applications
  identifier: 9783642165184
  identifier: http://dx.doi.org/10.1007/978-3-642-16518-4
  record info:
    record creation date: 110211
    record change date: 20151204184737.0
    record identifier: 978-3-642-16518-4