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Daml-S
This project is no longer active.

Head: Katia Sycara
Contact: Joseph Andrew Giampapa (garof@andrew.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: CIMDS
Associated lab/group: Intelligent Software Agents

For more information, see this project's homepage.


Jump to: Project Description | Personnel | Sub-projects | Publications


Project Description

The World Wide Web is the largest knowledge base that has ever existed. The Web was designed, however, to be understood by humans. The languages currently used to mark up Web pages do not provide the semantic annotation and inference capabilities that are needed to make Web information sources and other Internet entities (agents, devices, services, etc.) understood by computational processes.

The DARPA Agent Markup Language (DAML) will surpass current markup languages by representing semantic relations in machine-readable ways and enabling agents to reason about them. DAML is being developed as part of the Semantic Web initiative by teams of researchers at various companies and universities. Carnegie Mellon University is participating in DAML development through the Software Agents Group's ATLAS project. ATLAS research objectives include the following:

  1. DAML-based language for advertising and locating agents, ontologies, and other entities
  2. Tools to facilitate the writing of advertisements and queries
  3. Matching engines and agent infrastructure (e.g., ontology agents)
  4. Ontologies for
    1. domain-specific agent services/capabilties
    2. describing service parameters and request preferences
    3. describing agent resources
    4. describing agent security parameters
    5. describing low-level services and platform characteristics
  5. Agent search engines that serve as crawlers for the middle agent


Past members


Past Sub-projects


Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.


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