Detecting Resemblances in Anti-pattern Ideologies using Social Networks
| Autor: | Saini Jacob Soman |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Structure (mathematical logic)
Multidisciplinary ComputingMilieux_THECOMPUTINGPROFESSION Social network business.industry Computer science media_common.quotation_subject Ontology (information science) Computer security computer.software_genre Data science Knowledge base Anti-pattern Argument Ontology Ideology business Centrality computer Semantic Web media_common |
| Zdroj: | Indian Journal of Science and Technology. 8 |
| ISSN: | 0974-5645 0974-6846 |
| DOI: | 10.17485/ijst/2015/v8i24/81850 |
| Popis: | A key argument for modelling knowledge in ideologies is the simple reuse of the facts. However, nearby reliability checking, current ideology engineering tools give only essential functionalities for analyzing ideologies. Since ideologies can be considered as graphs, graph analysis techniques are an apt answer for this necessity. The anti-pattern ideology has been recently proposed as a knowledge base for SPARSE, an intelligent system that can detect the anti-patterns that exist in a software project. However, apart from the excess of anti-patterns that are intrinsically informal and vague, the data used in the anti-pattern ideology itself is many times inexactly defined. We exemplify in this paper the benefits of applying social networks to ontologies and the Semantic Web and discuss which research themes happen on the edge between the two particular fields. Particularly, we confer how different ideas of centrality portray the core content and structure of ontology |
| Databáze: | OpenAIRE |
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