Abstract
In this article we present our experience developing QuestSemantics (QS), an agent-based platform that uses fine-grained business knowledge to support semiautomatic discovery, annotation, filtering and retrieval of information resources on the Internet and in intranets. We designed QS to maximize the separation between the different types of knowledge represented-domain versus task-specific knowledge, and application versus generic knowledge. The goal of this separation is to achieve reusability and easy customization of the platform's various agents, thus allowing semantics based search in various task and domain scenarios.
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