ITtalks: A Case Study in the Semantic Web and DAML+OIL
نویسندگان
چکیده
and application service frameworks). We believe that the Semantic Web markup language DAML+OIL (DARPA Agent Markup Language plus Ontology Inference Layer) will be central to this goal’s realization. The DAML Program aims to develop a Semantic Web markup language that provides sufficient rules for ontology development and that supports intelligent agents and other applications.1,2 (For more information, see the “DAML+OIL” sidebar.) As part of the University of Maryland, Baltimore County’s role in the DAML Program, we constructed a fielded application, ITtalks, which facilitates user and agent interaction for locating talks on information technology. ITtalks also lets developers design and create intelligent software agents that can understand and process information encoded in DAML+OIL or other semantically rich markup languages. Primarily, we focused on developing the support and infrastructure for integrating intelligent agents into the Web.
منابع مشابه
ITTALKS: A Case Study in the Semantic Web and DAML
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 ...
متن کاملITTALKS: An Application of Agents in the Semantic Web
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 ...
متن کاملAgents Making Sense of the Semantic Web
Effective use of the vast quantity of available information and services on the Internet will require multi-agent systems to be tightly integrated with existing web infrastructure. This however will be impossible unless the information on the web is presented in a semantic language, such as the DARPA Agent Markup Language (DAML), which is one aim of the “Semantic Web”. As part of our exploratio...
متن کاملAgent Communication in DAML World
Darpa Agent Markup Language (DAML) [7] is the newest effort for Semantic Web [5]. It can be used to create ontologies and markup information resource like web pages. The information resource can be read by human and understood by agent programs. We believed DAML could be used to markup agent communication content and promote knowledge sharing and exchanging between agents. This paper also sugge...
متن کاملDAML+OIL: A Reason-able Web Ontology Language
Ontologies are set to play a key role in the ”Semantic Web”, extending syntactic interoperability to semantic interoperability by providing a source of shared and precisely defined terms. DAML+OIL is an ontology language specifically designed for use on the web; it exploits existing web standards (XML and RDF), adding the familiar ontological primitives of object oriented and frame based system...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEEE Intelligent Systems
دوره 17 شماره
صفحات -
تاریخ انتشار 2002