Tech Reports
Tech Report kmi-97-04 Abstract
Accessing Artificial Intelligence Applications over the World-Wide Web
Techreport ID: kmi-97-04
Date: 1997
Author(s): Alberto Riva, Marco Ramoni and Clara Fassino
In this paper we will show how LispWeb, an HTTP server entirely written in Common Lisp, can be used to access Artificial Intelligence (AI) applications over the World-Wide Web (WWW). We will discuss how an AI application can benefit from being accessible in the WWW environment, and the requirements it must satisfy in order to be usable through the WWW interaction paradigm. We will describe how a Lisp systems can be accessed through a Web-based interface, and an extension to the HTTP protocol that can be used to invoke generic functions on the LispWeb server. As an example, we will describe how an existing AI application written in Common Lisp (ERA - Epistemological Reasoning Architecture) was integrated with the LispWeb server and endowed with a graphical user interface written in Java. 1. IRCCS Policlinico San Matteo, Pavia, Italy. 2. Knowledge Media Institute, The Open University, UK. 3. Dipartimento di Informatica e Sistemistica, Università di Pavia, Italy.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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