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Infomaster: An information Integration Tool

Infomaster: An information Integration Tool. O. M. Duschka and M. R. Genesereth Presentation by Cui Tao. Introduction. Huge amount of information online: Distribution: Not every query can be answered by the data in a single database Fragmentation: horizontal, vertical Heterogeneity

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Infomaster: An information Integration Tool

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  1. Infomaster: An information Integration Tool O. M. Duschka and M. R. Genesereth Presentation by Cui Tao

  2. Introduction • Huge amount of information online: • Distribution: Not every query can be answered by the data in a single database • Fragmentation: horizontal, vertical • Heterogeneity • Notational heterogeneity: • Different access language and protocol: Parsing HTML, SQL, OQL, Z39.50 • Conceptual heterogeneity: • Semantic mismatches • Instability

  3. Introduction • Intelligent agents • Search and find desired information • Convert formats • Translate different context • Etc… • Not feasible yet • Considerable research in ontologies and natural language understanding is required

  4. Introduction • Infomaster: an information integration tool • Provide integrated access • Manage evolving information sources • Add new information sources • Remove outdated information sources

  5. Architecture

  6. Tested Application Areas • Newspaper classifieds • Provide a uniform search interface • Gather corresponding classifieds from all relevant newspapers • Product catalogs • Provide terminology translation • Campus databases

  7. Abstraction Hierarchy

  8. Interface Base Descriptions of Relationships • Interface relation & Site relation: in the terms of Base relation • Interface relation v.s. Base relation:

  9. Base Site Base Descriptions of Relationships • Site relation v.s. Base relation:

  10. Base Site Base Descriptions of Relationships • Site relation v.s. Base relation:

  11. Query Processing Example: BMWs built in 1996 that are for sale for a Price below their average market value.

  12. Reduction: Interface relations Base relations • Simple: User’s query --- Interface relation --- Base relation • Example rewritten query:

  13. AbductionBase relations Site relations • Site relations are expressed in terms of base relations, but not vice versa • Query rewritten problem: answer queries using views • Abduction: use a standard model elimination theorem prover

  14. AbductionBase relations Site relations : The set of all descriptions of the site relations : A set of site relations : The rewritten user query after the reduction step

  15. AbductionBase relations Site relations • The example query plans:

  16. Optimization Assume: All ads in sjmn are in sfc

  17. Conclusions • The first integration system: • Arbitrary positive relational algebra user queries • DB description • Efficient optimization by use: • Integrity constraints • Local completeness information • Flexible Use of query planning: • Expressive description language • Constraint • Background theories

  18. Related Works • Information Manifold project and SIMS project: • Explore the use of descriptions logics for describing information sources • Occam project • Use general AI planning techniques to generate information gathering plans • TSIMMIS project • Use pattern matching techniques to match user queries and predefined queries.

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