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Data Management for XML: Research Directions

Data Management for XML: Research Directions. By: Jennifer Widom Stanford University. Reviewer: Kristin Streilein. Paper Objectives:. whitepaper “thoughts on the research opportunities XML brings to the general area of data management” Not a survey

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Data Management for XML: Research Directions

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  1. Data Management for XML: Research Directions By: Jennifer Widom Stanford University Reviewer: Kristin Streilein

  2. Paper Objectives: • whitepaper • “thoughts on the research opportunities XML brings to the general area of data management” • Not a survey • offers “personal opinions and thoughts on Data Management for XML” • “written from a true research standpoint”

  3. Important Commerical Perspectives not covered • How will XML be used? • Data exchange format? • Data storage format? • With or without DTDs? • Application interoperation and data integration will still cause problems • Proposed mechanisms for inter-document references and proposed extensions or alternatives to DTDs for richer schema definitions not covered

  4. Current State of Query Processing of Web Information • HTML Pages • Needs be preprocessed for meaningful queries • Simple keyword-based searches • Traditional DBMS • Simple & rigid forms-based interfaces

  5. Sample XML Research Topics: • Ability to map XML-encoded info into a true data model • Resolve conflicts from mixing concepts of documents and databases • Designing XML databases • Theoretical results • Practical techniques • Relationship between XML DTDs and traditional database schemas

  6. Sample XML Research Topics: • Query language(s) • Database updates in XML setting • Efficient physical layout and indexing mechanisms • Query Processing • View mechanisms • How to scale everything to web proportions

  7. Lore Project at Stanford:Personal Research Agenda • Storage and Indexing • Clustering schemes • New index types • Compression • DataGuides and DTDs • Build validating into XML database system • Encode subelement ordering • Performance and functionality tradeoffs (DataGuides & DTDs) • Combine DataGuides & DTDs • Browse database structure • Allow updates propagate database

  8. Lore Project at Stanford:Personal Research Agenda • Databases and Information Retrieval • Keyword search • Proximity search • Similarity search • Other Database Features • Views • Constraints • Triggers • Change Management

  9. Lore Project at Stanford:Personal Research Agenda • Mixing Semistructured and Structured Data • Finding the structure • Exploiting the structure • XML in/on a Traditional DBMS • Performace Evaluation • Appropriate benchmark for what XML data should look like • Type of queries & mix of queries and updates

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