Titlebook: Conceptual Structures: Knowledge Visualization and Reasoning; 16th International C Peter Eklund,Ollivier Haemmerlé Conference proceedings 2

Living-Will

https://doi.org/10.1057/9781137034328sed processing and various other techniques have been applied to improve the quality of search results sent to a user. Ontology-based methods were proposed to refine the information extraction process but they have not yet achieved wide adoption by search engines. This is mainly due to the fact that

installment

Sraffa and the Standard Commoditya standard search interface to include a conceptual neighborhood centered on a formal concept derived from the initial query. This neighborhood of the concept derived from the search terms is decorated with its upper and lower neighbors representing more general and specialized concepts respectively

催眠药

Towards a New Understanding of Sraffa mappings from their internal symbols to objects and concepts in their environment. This work introduces a framework for formally associating symbols to their meanings, a process we call .. Two kinds of grounding are discussed with respect to conceptual graphs – active grounding, which involves acto

ANNUL

Judith Butler and the Catachretic Humantheories which can be made understandable (possibly in standard language). Examples are given by applications of Formal Concept Analysis....1. Multi-, Inter-, and Transdisciplinarity.2. Generalistic Sciences and Humanities, and “Good” Disciplinarity.3. Transdisciplinarity by Generalistic Sciences and Humanities

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出汗

COW

CAB

Query-Answering CG Knowledge Bases,. We distinguish between notions of answers by subgraphs of the base and answers by creation of result graphs. For the last type of answers, we define completeness, non-redundancy and minimality criteria of the answer sets and propose several notions of answers w.r.t these criteria.

HARD

Assault

An Algorithmic Study of Deduction in Simple Conceptual Graphs with Classical Negation,f PG-Deduction decreases and becomes not more difficult than in simple conceptual graphs. Secondly, we improve the brute-force algorithm with several kinds of techniques based on properties concerning the graph structure and the labels.