KOJAK: Scalable Semantic Link Discovery Via Integrated Knowledge-Based and Statistical Reasoning

Abstract

Link discovery (LD) is a new challenge in data mining whose primary concern is to identify strong links and discover hidden relationships among entities and organizations based on low-level, incomplete and noisy evidence data. Within this effort, USC/ISI addressed this challenge by developing a hybrid link discovery system called KOJAK that combines state-of-the-art knowledge representation and reasoning (KR&R) technology with statistical clustering analysis techniques from the area of data mining.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA460860

Entities

People

  • Hans Chalupsky

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Computational Science
  • Computer Programming
  • Data Mining
  • Databases
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Ontologies
  • Probabilistic Models
  • Reasoning
  • Relational Database Management Systems
  • Reliability

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML