{"title":"Graphic ontological methods to compile collective knowledge of social processes","authors":"G. Kanygin, M. S. Poltinnikova","doi":"10.1145/3014087.3014107","DOIUrl":null,"url":null,"abstract":"The article describes the graphic ontological methods to compile collective description of social processes. The methods are based on the graph model of ontology. The model is based on the set of branchings. Each branching consists of a two-level tree with pairs of concepts at its vertices. The first concept of a pair is a term, the second one defines a context within which this term is considered. The rule of linking concepts, that serve as contexts, is proposed. Algorithms for constructing the graph of contexts hierarchy and the terminological graph are developed. The criterion of a logic verification based on the structure of the terminological graph for ontology is obtained. Features of the described model and its usability are demonstrated in the example.","PeriodicalId":224566,"journal":{"name":"Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3014087.3014107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The article describes the graphic ontological methods to compile collective description of social processes. The methods are based on the graph model of ontology. The model is based on the set of branchings. Each branching consists of a two-level tree with pairs of concepts at its vertices. The first concept of a pair is a term, the second one defines a context within which this term is considered. The rule of linking concepts, that serve as contexts, is proposed. Algorithms for constructing the graph of contexts hierarchy and the terminological graph are developed. The criterion of a logic verification based on the structure of the terminological graph for ontology is obtained. Features of the described model and its usability are demonstrated in the example.