Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-042414-160500


Document Typethesis
Author NameIbrahim, Karim
Email Address kaibrahim at wpi.edu
URNetd-042414-160500
TitleManagement of Big Annotations in Relational Database Management Systems
DegreeMS
DepartmentComputer Science
Advisors
  • Prof. Mohamed Eltabakh, Advisor
  • Prof. Elke Angelika Rundensteiner, Reader
  • Keywords
  • Annotation
  • RDBMS
  • Summary
  • Proactive
  • User centric
  • Date of Presentation/Defense2014-04-10
    Availability restricted

    Abstract

    Annotations play a key role in understanding and describing the data, and annotation management has become an integral component in most emerging applications such as scientific databases. Scientists need to exchange not only data but also their thoughts, comments and annotations on the data as well. Annotations represent comments, Lineage of data, description and much more. Therefore, several annotation management techniques have been proposed to efficiently and abstractly handle the annotations. However, with the increasing scale of collaboration and the extensive use of annotations among users and scientists, the number and size of the annotations may far exceed the size of the original data itself. However, current annotation management techniques donít address large scale annotation management. In this work, we propose three chapters to that tackle the Big annotations from three different perspectives (1) User-Centric Annotation Propagation, (2) Proactive Annotation Management and (3) InsightNotes Summary-Based Querying. We capture users' preferences in profiles and personalizes the annotation propagation at query time by reporting the most relevant annotations (per tuple) for each user based on time plan. We provide three Time-Based plans, support static and dynamic profiles for each user. We support a proactive annotation management which suggests data tuples to be annotated in case new annotation has a reference to a data value and user doesnít annotate the data precisely. Moreover, we provide an extension on the InsightNotes: Summary-Based Annotation Management in Relational Databases by adding query language that enable the user to query the annotation summaries and add predicates on the annotation summaries themselves. Our system is implemented inside PostgreSQL.

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  • (WPI)KaIbrahimMSThesis.pdf

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