没有贫穷
发表于 2025-3-25 21:37:18
Acquiring and Structuring Web Content with Knowledge Level Modelschitecture described here involves software agents that can conduct structured on-line knowledge acquisition using distributed knowledge sources. Agent-generated domain ontologies are used to guide a flexible system of autonomous agents arranged in a server architecture.
牵连
发表于 2025-3-26 03:20:39
Modeling Information Sources for Information Integrationechniques for identifying relevant concepts from a database’s conceptual schema, and (2) a set of tools for assisting database administrators in mapping these interesting concepts on to the domain model of the PICSEL mediator.
Digitalis
发表于 2025-3-26 07:15:04
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先锋派
发表于 2025-3-26 11:21:33
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公社
发表于 2025-3-26 14:31:54
Knowledge Acquisition from Multiple Experts Based on Semantics of Conceptsshow how to derive the most supported opinion among the experts at each level. This is used to order the experts into categories of their competence defined as the support they get from their colleagues.
得体
发表于 2025-3-26 20:14:47
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bacteria
发表于 2025-3-26 23:48:32
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Cleave
发表于 2025-3-27 01:31:55
Formally Verifying Dynamic Properties of Knowledge Based Systemsich are concerned with the anytime behaviour and the computation trace of the classification method. We show how Dynamic Logic can be used to formally express these dynamic properties.We have used the KIV interactive theorem prover to obtain machine-assisted proofs for all the properties and theorems in this paper.
尾巴
发表于 2025-3-27 05:36:35
Acquiring Expert Knowledge for the Design of Conceptual Information Systemsierarchies, . and ., and discuss advantages and drawbacks. The central part of the paper shows how ., a knowledge acquisition tool developed by B. Ganter can be applied for narrowing the gap between both approaches.
SMART
发表于 2025-3-27 11:55:53
Conference proceedings 1999, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (no