The Problem of Ontology Alignment on the Web: A First Report

Abstract

This paper presents a general architecture and four algorithms that use Natural Language Processing for automatic ontology matching. The proposed approach is purely instance based, i.e., only the instance documents associated with the nodes of ontologies are taken into account. The four algorithms have been evaluated using real world test data, taken from the Google and LookSmart online directories. The results show that NLP techniques applied to instance documents help the system achieve higher performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA456714

Entities

People

  • Barbara Di Eugenio
  • Davide Fossati
  • Gabriele Ghidoni
  • Huiyong Xiao
  • Isabel Cruz
  • Rajen Subba

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automatic
  • Computational Linguistics
  • Computational Science
  • Computer Science
  • Databases
  • Language
  • Linguistics
  • Machine Learning
  • Markov Models
  • Models
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Semantics
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Library and Information Science

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval