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11#
發(fā)表于 2025-3-23 10:35:09 | 只看該作者
12#
發(fā)表于 2025-3-23 17:29:31 | 只看該作者
13#
發(fā)表于 2025-3-23 19:37:50 | 只看該作者
Enhancing Layered Enterprise Architecture Development Through Conceptual Structuresnces EA by using meta-models made up of layered meta-objects, interconnected by semantic relations. Organisations can use these meta-models to benefit from a novel, ontology-based, object-oriented way of EA thinking and working. Furthermore, the meta-models are directed graphs that can be read linea
14#
發(fā)表于 2025-3-23 23:22:59 | 只看該作者
Ontology-Informed Lattice Reduction Using the Discrimination Power Indexsis (FCA). FCA creates a lattice comprising partial order relationships between sets of object instances in a domain (extent) and their properties (intent). This is mapped onto a semantic knowledge structure comprising domain concepts with their instances and properties. However, this automatic extr
15#
發(fā)表于 2025-3-24 03:49:45 | 只看該作者
Redescription Mining for Learning Definitions and Disjointness Axioms in Linked Open Dataoms between classes of individuals in the web of data. RM is aimed at mining alternate descriptions from two datasets related to the same set of individuals. We reuse this process for providing definitions in terms of necessary and sufficient conditions to categories in DBpedia. Firstly, we recall t
16#
發(fā)表于 2025-3-24 10:21:35 | 只看該作者
17#
發(fā)表于 2025-3-24 13:45:07 | 只看該作者
18#
發(fā)表于 2025-3-24 16:38:48 | 只看該作者
19#
發(fā)表于 2025-3-24 22:10:03 | 只看該作者
https://doi.org/10.1007/978-1-4615-2718-3textual two-dimensional web ontology language. Using the first dimension, we can define contexts-dependent classes, properties, and axioms and using the second dimension, we can express knowledge about contexts which we consider formal objects, as proposed by McCarthy [.]. Moreover, we describe a co
20#
發(fā)表于 2025-3-25 00:27:23 | 只看該作者
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