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Fast discovery of association rules
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ACM Computing Surveys (CSUR)
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Jabber Programming
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Dynamic Queries for Visual Information Seeking
IEEE Software
PlanetOnto: From News Publishing to Integrated Knowledge Management Support
IEEE Intelligent Systems
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
On the Internet
Exploiting semantic annotation to supporting user browsing on the web
Knowledge-Based Systems
A framework of online shopping support for information recommendations
Expert Systems with Applications: An International Journal
Realizing added value with semantic web
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
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In this paper we describe some results of the Alice project. Alice is an ontology based e-commerce project which aims to support online users in the task of shopping. Ontologies describing customers, products, typical shopping tasks and the external context form the basis for the Alice architecture. We also exploit two novel interface metaphors originally developed for navigating databases: the Guides metaphor and Dynamic Queries. The Guides metaphor was developed at Apple to reduce the cognitive load on learners navigating a large hypermedia database. Within Alice we use the Guides metaphor to allow online shoppers to classify themselves. We discuss the link between Alice Guides and Kozinet?s notion of e-tribes or Virtual Communities of Consumption. Our second interface metaphor Dynamic Queries (coupled with Starfield displays) allow users to very quickly find relevant items by displaying the results of queries, posed via specialised slider widgets, within 100 milliseconds. We have constructed a tool, Quiver, which constructs Dynamic Query interfaces on-the-fly as the result of queries to knowledge models stored on the Alice server.