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
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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