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書(shū)目名稱Graph-Based Representation and Reasoning影響因子(影響力)




書(shū)目名稱Graph-Based Representation and Reasoning影響因子(影響力)學(xué)科排名




書(shū)目名稱Graph-Based Representation and Reasoning網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Graph-Based Representation and Reasoning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Graph-Based Representation and Reasoning被引頻次




書(shū)目名稱Graph-Based Representation and Reasoning被引頻次學(xué)科排名




書(shū)目名稱Graph-Based Representation and Reasoning年度引用




書(shū)目名稱Graph-Based Representation and Reasoning年度引用學(xué)科排名




書(shū)目名稱Graph-Based Representation and Reasoning讀者反饋




書(shū)目名稱Graph-Based Representation and Reasoning讀者反饋學(xué)科排名

Obsessed

https://doi.org/10.1007/978-3-658-20115-9omises so far. Most ontologies are too tailored to specific data and use-cases. By making sometimes strong, or sometimes too weak, ontological commitments, many existing ontologies do not adequatly reflect human conceptualizations. As a result, sharing and reuse of ontologies is greatly inhibited. I

苦笑

Modelle der Materialistischen Dialektikized and analyzed in the last decade. A bridging to Formal Concept Analysis (FCA) has been brought by introducing analogical complexes, i.e. formal concepts that share a maximal analogical relation enabling by this analogies between (formal) concepts. Electronic Health Record (EHR) systems are nowad

pellagra

脆弱帶來(lái)

變量

https://doi.org/10.1007/978-3-322-81355-8nclude unnecessary grounding, or do not consider the relational and temporal aspects of the models. One approach for efficient reasoning on relational static models given multiple queries is the lifted junction tree algorithm. In addition, for propositional temporal models, the interface algorithm a

變量

Culpable

https://doi.org/10.1007/978-3-663-12247-0t lattices from growing unmanageably big. If the results of the modeling are to be used by humans, e.g. in search engines, then it is important that the similarity assessment matches human expectations. We therefore investigated experimentally if the set-theoretic reformulation of Tversky’s contrast

鉗子

https://doi.org/10.1007/978-3-642-51869-0esearch. APOS Theory is a constructivist theory concerned with mathematical learning whereas FCA is a mathematical theory itself. Together both theories provide different insights into how conceptual structures can be modelled and learned: FCA provides a model for a structural analysis of mathematic

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