Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker

Abstract

Tremendous amounts of data exist in life sciences along with many bio-ontologies. Though these databases contain important information about gene, proteins, functions, etc., this information is not well utilized due to the heterogeneous formats of these databases. Therefore, ontology alignment (OA) is now very critical for life science domain. Our work utilizes AgreementMaker for OA and describes results, difficulties faced in the process, and lessons learned. We aligned two real-world ontologies, the Parasite Experiment Ontology (PEO) and the Ontology for Biomedical Investigations (OBI). The former is more application-oriented and the latter is a reference ontology for any biomedical or clinical investigations. Our study led to several enhancements to AgreementMaker: annotation profiling, mapping provenance information, and tailored lexicon building.

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Document Details

Document Type
Technical Report
Publication Date
Jul 26, 2011
Accession Number
AD1187669

Entities

People

  • Amit Sheth
  • Cosmin Stroe
  • Isabel F. Cruz
  • Maryam Panahiazar
  • Pramit Silwal
  • Priti Parikh
  • Valerie Cross
  • Xueheng Hu

Organizations

  • University of Illinois at Chicago
  • University of Miami
  • Wright State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Anatomy
  • Biological Sciences
  • Biophysics
  • Computer Science
  • Computers
  • Databases
  • Engineering
  • Experimental Data
  • Lessons Learned
  • Nucleic Acids
  • Ontologies
  • Parasites
  • Precision
  • Software Development
  • Standards

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • Biotechnology