DAML-S 0.6 Draft Release (December 2001)
DAML-S is a DAML-based Web service ontology, which supplies Web
service providers with a core set of markup language constructs
for describing the properties and capabilities of their Web
services in unambiguous, computer-intepretable form. DAML-S
markup of Web services will facilitate the automation of Web
service tasks including automated Web service discovery,
execution, composition and interoperation. Following the layered
approach to markup language development, the current version of
DAML-S builds on top of DAML+OIL
(March 2001), and subsequent versions will likely build on
top of DAML-L.
This directory contains a draft version of the DAML-S language
under development by a group of DAML researchers (listed below).
We encourage feedback from interested parties through the firstname.lastname@example.org
Please note that this draft is incomplete at present. The
Status page summarizes what's missing.
Technical Overview - a white paper describing the key elements of DAML-S.
WalkThrough - an expository text illustrating the basic concepts in the context of a concrete example.
Coming soon: Interacting with DAML-S Web Services - a white
paper illustrating how DAML-S may come to be used in the context of Semantic
Web components, software agents - and humans.
- DAML specifications
- Service.daml - the upper ontology for services.
- Profile.daml - the upper ontology for service profiles.
- Process.daml - the upper
ontology for process models.
- Time.daml - a simple ontology
of time, used (currently in very limited ways) in process specification.
- Resource.daml - an
ontology of resources, for future use in specification of
profiles and processes (but currently not used at all).
- Congo.com (fictitious B2C site)
- Bravo Air (fictitious airline site)
- Relationship to Existing Industry Web Services Efforts
- Design Rationale and Outstanding Issues
- Coming soon: FAQ
- Status of this release
The following individuals (listed in alphabetical order) were
involved in preparing the DAML-S 0.6 pre-release. See individual
documents for additional information.
We also acknowledge the preliminary work contributed by Son
- Anupriya Ankolekar
- Mark Burstein
- Jerry Hobbs
- Ora Lassila
- David Martin
- Drew McDermott
- Sheila McIlraith
- Srini Narayanan
- Massimo Paolucci
- Terry Payne
- Katia Sycara
- Honglei Zeng