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projects:year1:12.3

12.3 - Multi-Industry Semantic Discovery Tool Sets for Data Integration, Data Warehousing, and E-Science

Project - Summary

Objectives:

  • Discovering and integrating semantic information of heterogeneous data sources for various business applications.
  • Using the semantic information for query expansion and information visualization.
  • Making data more meaningful for industrial data integration, data warehousing, and E-science scenarios.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Yuan An PI Not available Not available Drexel University
Lin Xia Co-PI Not available Not available Drexel University
Michael Toraro Co-PI Not available Not available UL Lafayette
Wanying Ding Graduate Student Not available Not available Drexel University
Satya Katragadda Graduate Student satya@louisiana.edu (337) 482-0625 UL Lafayette
Sonal Pardeshi Graduate Student Not available Not available Drexel University
Shahid Virani Graduate Student Not available Not available UL Lafayette
Haozhen Zhao Graduate Student Not available Not available Drexel University
Mi Zhang Graduate Student Not available Not available Drexel University
Jae-wook Ahn Graduate Student Not available Not available Drexel University
Yue Shang Graduate Student Not available Not available Drexel University
Elshaimaa Ali Graduate Student Not available Not available UL Lafayette

Project - Impact and Uses/Benefits

Improve the capability in working with Big Data

  • The tools can help a user automatically annotate and analyze unstructured data sets with sought-for information.
  • The tools can help a user greatly improve the productivity in turning data into structured information.
  • The visualization interfaces can help a user query and aggregate very large networks of concepts, documents, or other entities.

Enhances the semantic web development:

  • The frame work will help creating a Wikipedia based ontology repository.
  • Help establishing common vocabulary for semantic annotation for a specific domain.
  • Facilitate ontology maintenance and annotation regeneration. Ontologies are collaboratively maintained and annotations are automatically updated.

Project - Deep Dive

Project - Documents

FilenameFilesizeLast modified
12.3_year_1_final_project_report_combined.pdf2.0 MiB2019/08/22 10:07
projects/year1/12.3.txt · Last modified: 2021/06/02 15:48 by sally.johnson