Using Fuzzy Ontology to Improve Similarity Assessment Method and Evaluation
Creators: name: Bastani, Susan
name: Safaeipour, Hoda
name: Zarandi, Mohammad Hossien Fazel
Publisher: name: figshare
Year: 2020
Subjects: subject: 140201 Agricultural Economics
subject: FOS: Economics and business
subject: FOS: Economics and business
subject: Anthropology
subject: FOS: Sociology
subject: FOS: Sociology
subject: 140299 Applied Economics not elsewhere classified
subject: Archaeology
subject: 149901 Comparative Economic Systems
subject: 130101 Continuing and Community Education
subject: FOS: Educational sciences
subject: FOS: Educational sciences
subject: 140301 Cross-Sectional Analysis
subject: 130102 Early Childhood Education (excl. Maori)
subject: 149902 Ecological Economics
subject: 140302 Econometric and Statistical Methods
subject: 140399 Econometrics not elsewhere classified
subject: 140202 Economic Development and Growth
subject: 140203 Economic History
subject: 140303 Economic Models and Forecasting
subject: 140199 Economic Theory not elsewhere classified
subject: Economics
subject: 149999 Economics not elsewhere classified
subject: 140204 Economics of Education
subject: Education
subject: 130199 Education systems not elsewhere classified
subject: 140205 Environment and Resource Economics
subject: 140206 Experimental Economics
subject: 140207 Financial Economics
subject: Geography
subject: 140208 Health Economics
subject: 149903 Heterodox Economics
subject: 130103 Higher Education
subject: 140101 History of Economic Thought
subject: 140209 Industry Economics and Industrial Organisation
subject: 140210 International Economics and International Finance
subject: 140211 Labour Economics
subject: 140102 Macroeconomic Theory
subject: 140212 Macroeconomics (incl. Monetary and Fiscal Theory)
subject: 140103 Mathematical Economics
subject: 140104 Microeconomic Theory
subject: 140304 Panel Data Analysis
subject: 130105 Primary Education (excl. Maori)
subject: 140213 Public Economics- Public Choice
subject: 140214 Public Economics- Publically Provided Goods
subject: 140215 Public Economics- Taxation and Revenue
subject: 130106 Secondary Education
subject: Sociology
subject: 130108 Technical, Further and Workplace Education
subject: 140305 Time-Series Analysis
subject: 140216 Tourism Economics
subject: 140217 Transport Economics
subject: 140218 Urban and Regional Economics
subject: 140219 Welfare Economics

description: Assessing semantic similarity is a fundamental requirement for many AI applications. Crisp ontology (CO) is one of the knowledge representation tools that can be used for this purpose. Thanks to the development ofsemantic web,CO-based similarity assessment has become a popular approach in recent years. However, in the presence of vague information, CO cannot consider uncertainty of relations between concepts. On the other hand, fuzzy ontology (FO) can effectively process uncertainty of concepts and their relations. This paper aims at proposing an approach for assessing concept similarity based on FO. The proposed approach incorporates fuzzy relation composition in combination with an edge counting approach to assess the similarity. Accordingly, proposed measure relies on taxonomical features of an ontology in combination with statistical features of concepts. Furthermore, an evaluation approach for the FO-based similarity measure named as FOSE is proposed. Considering social network data, proposed similarity measure is evaluated using FOSE. The evaluation results prove the dominance of proposed approach over its respective CO-based measure.