ITTALKS: A Case Study in the Semantic Web and DAML

Abstract

Effective use of the vast quantity of information now available on the web will require the use of Semantic Web markup languages such as the DARPA Agent Markup Language (DAML). Such languages will enable the automated gathering and processing of much information that is currently available but insufficiently utilized. Effectively, such languages will facilitate the integration of multi-agent systems with the existing information infrastructure. As part of our exploration of Semantic Web technology, and DAML in particular, we have constructed ITTALKS, a web-based system for automatic and intelligent notification of information technology talks. In this paper, we describe the ITTALKS system, and discuss the numerous ways in which the use of Semantic Web concepts and DAML extend its ability to provide an intelligent online service to both the human community and the agents assisting them.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA439603

Entities

People

  • Anupam Joshi
  • Charles Nicholas
  • Filip Perich
  • Harry Chen
  • Ian Soboroff
  • Lalana Kagal
  • R. S. Cost
  • Tim Finin
  • Youyong Zou
  • Yun Peng

Organizations

  • University of Maryland, Baltimore

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Case Studies
  • Classification
  • Computer Programming
  • Computers
  • Databases
  • Electronic Mail
  • Information Systems
  • Infrastructure
  • Intelligent Agents
  • Language
  • Machine Learning
  • Markup Languages
  • Ontologies
  • Relational Databases
  • Standards
  • Websites

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design