Ontological knowledge
Evolutionary Discovery of Multi-Relational Association Rules from Ontological Knowledge Bases
... (assertional) knowledge, data mining techniques could be fruitfully exploited for discovering hidden knowledge pat- terns from ontological KBs, to be used for enriching an ontology both at ...
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Ontology Enrichment by Discovering Multi-Relational Association Rules from Ontological Knowledge Bases
... sertional knowledge is given by the heterogeneous Web resources referring to ...hidden knowledge patterns in the data, to enrich the ...from ontological knowledge ...intensional ...
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Integrating ontological knowledge for iterative causal discovery and vizualisation
... Less works has been done on this aspect of combining the power of Bayesian networks and ontologies. And most of them focus on developing probabilistic frameworks for combining different ontology mapping methods [16, 22]. ...
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Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach
... leverage ontological information that models information under the open world assumption; finally, per- formance cannot be ignored since the amount of informa- tion needed to model the human brain is considerable, ...
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Verifying ontological knowledge through meta-analysis: Study cases of Pain and Consciousness
... Progress has been made through meta-analysis but some limitations remain to be addressed. With Neurosynth [ 7 ], for example, we can’t analyse whether, in the literature, terms dubbed as synonyms are really used in an ...
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Breathing Ontological Knowledge Into Feature Model Synthesis: An Empirical Study
... different ontological se- ...The ontological aspect of an FM impacts all these automated operations since they are instances of the FM synthesis problem (see Figure 2, page ...
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Ontological Analysis For Description Logics Knowledge Base Debugging
... An arguably simpler approach is investigated here, which consists in tagging an automatically selected subset E of sig(K), using as the core ontological knowledge Ω a (DL expressible subset of a) top-level ...
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Ontological Analysis For Description Logics Knowledge Base Debugging
... 2 Ontological analysis 2.1 Using a top-level ontology as a debugging tool This section focuses on the choice of the core ontological knowledge Ω, and on the constitution of the set Γ of an- choring ...
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Knowledge crash and knowledge management
... Knowledge Capital, uses representations by “cognitive” maps, built on these principles, and validated by ergonomic studies. To build a map from « cognitive » information, there is a famous methodology, called « ...
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An ontological representation of sex and gender information
... stable ontological representation (as the extension of the class “Other” depends on the extension of its sibling classes, which might change if new sibling classes are introduced ...
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An Ontological Model for Resource Sharing in Pervasive Environments
... Abstract—Since over a decade ago, Service Discovery Pro- tocols have been developed for applications to take advantages of services shared over networks. Each protocol provides a way for applications to ask for the type ...
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Ontological approach of corporate sustainability: Proposal for a shift
... We bring out that, even in this early context, as soon as this firm faced up to this situation, it was led, in a non-anticipated way, to collectively and deliberatively re-design its own ontology, in order to articulate ...
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Digitality, (un)knowledge and the ontological character of non-knowledge
... by knowledge practices - that thanks to the generalization of online profiles, and the metadata they contain, knowledge play a role that has gone awry, obliterating, as she puts it, other types of ...
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Learning the Ontological Positions of Natural Language Objects
... For feature selection, we have tried two approaches: one is pruning infrequent words, which decreased the accuracies of the Na¨ıve Bayes classifier; the other is pruning words of high fr[r] ...
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Ontological view-driven semantic integration in collaborative networks
... Our work on semantic integration fits into the evolvement by extending the traditional ontology-driven approaches to an ontological view-driven approach to overcome the grand challenges that were not thoroughly ...
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Ontological view based semantic transformation for distributed systems
... In the past, semantics, which played an important role during the integration task, came into focus leading to so-called ontology-based integration approaches. In Artificial Intelligence, ontology refers to an ...
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On Ontological Expressivity and Modelling Argumentation Schemes Using COGUI
... Our proposed model (illustrated in Figure 2) models all the grounded atoms as different pieces of knowledge, practically splitting the black-boxes of the previous model. This means that when we apply the rule of ...
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From Capitalizing on Company Knowledge to Knowledge Management
... However, the need for greater competitiveness often requires cost reduction and leads to structural changes and personnel cutbacks that result in early retirement, transfers of employees, and outright layoffs. Such ...
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Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity
... In this paper, we identify the kinds of semantic heterogeneities that can cause data quality problems. Then we show how COIN technology can be used to capture context knowledge and improve data quality by ...
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Knowledge Management
... for Knowledge 367 Management System) capitalization of 368 knowledge in a perspective of knowledge 369 management in an ...structure knowledge through 376 domain, activities, and tasks ...
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