| Autor: |
Natalia A. Bal, K. V. Monankov, N. V. Maksimov, O. L. Golitsina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 ISBN: 9783030655952 |
| DOI: |
10.1007/978-3-030-65596-9_28 |
| Popis: |
This article considers graph-ontology tools that provide construction, visualization and analysis of an ontology graph using functions for selecting vertices and arcs, set-theoretic operations on graphs, and aspect projection operations. An aspect is specified in terms of general system theory. Aspect projection operations for graph representations of ontologies reduce the dimension of graphs to a level affordable for displaying and human perception. As applied for information retrieval process, it makes possible to move from the task of classical information retrieval to the implementation of cognitive-similar information retrieval task, represented as a search for a path or neighborhood on a multi-meta-hypergraph of an ontology, dynamically formed on the base of ontological images of founded documents or their fragments. The ontology graph is formed via auto-extracting entities and relationships from natural language texts. This article considers the application of the developed tools in the process of analysis and synthesis of knowledge on the example of technical requirements tracing. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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