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Titlebook: Conceptual Structures: Inspiration and Application; 14th International C Henrik Sch?rfe,Pascal Hitzler,Peter ?hrstr?m Conference proceeding

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樓主: tornado
11#
發(fā)表于 2025-3-23 09:57:41 | 只看該作者
12#
發(fā)表于 2025-3-23 16:10:36 | 只看該作者
13#
發(fā)表于 2025-3-23 20:05:36 | 只看該作者
14#
發(fā)表于 2025-3-23 23:53:32 | 只看該作者
The Persuasive Expansion – Rhetoric, Information Architecture, and Conceptual Structurefield such as Information Architecture bears witness to the fact that for those who actually strive to work out IT systems conceptually congenial to human users, rhetorical and logical considerations intertwine in an almost inextricable manner.
15#
發(fā)表于 2025-3-24 04:59:39 | 只看該作者
16#
發(fā)表于 2025-3-24 08:10:10 | 只看該作者
17#
發(fā)表于 2025-3-24 14:31:31 | 只看該作者
Formal Concept Analysis with Constraints by Closure Operators algorithm without the need to compute all outputs). Our approach covers several examples studied before, e.g. extraction of closed frequent itemsets in generation of non-redundant association rules. We present motivations, foundations, and examples.
18#
發(fā)表于 2025-3-24 16:33:17 | 只看該作者
19#
發(fā)表于 2025-3-24 19:52:03 | 只看該作者
The MIEL++ Architecture When RDB, CGs and XML Meet for the Sake of Risk Assessment in Food Productsd XML. Those models have been extended in order to allow the representation of fuzzy values. In the MIEL++ language, used to query the data warehouse, the end-users can express preferences in their queries by means of fuzzy sets. Fuzzy pattern matching techniques are used in order to compare preferences and imprecise values.
20#
發(fā)表于 2025-3-25 02:42:42 | 只看該作者
DOGMA-MESS: A Meaning Evolution Support System for Interorganizational Ontology Engineeringe of this process using context dependencies between ontological elements. We describe the DOGMA-MESS methodology and system for scalable, community-grounded ontology engineering. We illustrate this methodology with examples taken from a case of interorganizational competency ontology evolution in the vocational training domain.
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