Chinese Domain Ontology Learning Based on Semantic Dependency and Formal Concept Analysis

2013 ◽  
pp. 489-497 ◽  
Author(s):  
Lixin Hou ◽  
Shanhong Zheng ◽  
Haitao He ◽  
Xinyi Peng
Keyword(s):  
Formal Concept Analysis ◽  
Concept Analysis ◽  
Domain Ontology ◽  
Formal Concept ◽  
Ontology Learning ◽  
Semantic Dependency

Semantic Web Ontology Integration Based on Formal Concept Analysis

2013 ◽  
Vol 373-375 ◽  
pp. 1714-1718
Author(s):  
Hong Xia
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Formal Concept Analysis ◽  
Service Discovery ◽  
Concept Analysis ◽  
Domain Ontology ◽  
Ontology Engineering ◽  
Formal Concept ◽  
Modeling Concept

Matchmaking is the basis of doing service discovery and composition. Using ontology semantically express the service of capabilities, correctly match service. Domain ontology and Formal Concept Analysis aim at modeling concept. The role of FCA in ontology engineering is supporting reusing independently developed domain ontology. Evaluating concept similarity identifies the different concepts that are semantically close. In this paper, using concept and attribute of web services to construct the ontology. Also, an ontology based method for assessing similarity between FCA concepts is proposed.

Tourism Domain Ontology Construction Method Based on Fuzzy Formal Concept Analysis

2013 ◽  
Vol 347-350 ◽  
pp. 2809-2813
Author(s):  
Yan Liu ◽  
Sheng Quan Liu ◽  
Peng Li
Keyword(s):  
Formal Concept Analysis ◽  
Concept Analysis ◽  
Domain Ontology ◽  
Formal Concept ◽  
Uncertain Information ◽  
Construction Process ◽  
Ontology Construction ◽  
Concept Hierarchy ◽  
Fuzzy Formal Concept ◽  
Fuzzy Formal Concept Analysis

In this paper, fuzzy formal concept analysis is introduced to the tourism domain ontology construction process, first fuzzy formal concept analysis of uncertain information in the domain of tourism,then through the conceptual clustering generated fuzzy concept hierarchy, lastly mapping to get fuzzy ontology prototype. A example shows that the method is feasible and effective.

Constructing Domain Ontology of E-Business Based on Rough Concept Lattices

2011 ◽  
Vol 219-220 ◽  
pp. 202-205
Author(s):  
Hong Sheng Xu ◽  
Jia Song
Keyword(s):  
Rough Set ◽  
Formal Concept Analysis ◽  
Concept Lattice ◽  
Concept Analysis ◽  
Domain Ontology ◽  
Formal Context ◽  
Formal Concept ◽  
Variable Precision ◽  
Ontology Model ◽  
Variable Precision Rough Set

Variable precision rough set (VPRS) model and formal concept analysis are studied in this paper, include algorithm of reduction attribute and extraction rule. The traditional algorithms about attribute reduction based on discernibility matrix and extraction rule in VPRS are discussed, there are problems in these traditional algorithms which are improved. Rough concept lattice model is proposed based on integrating of variable precision rough set model and formal concept analysis, and is used to reduce formal context. The domain ontology model of e-business is built combined with knowledge of domain expert, and original ontology model of the United Nations Standard Products and Services Classification Code by way of core ontology in order to enhance system robustness and efficiency.

scholarly journals FUZZY FORMAL CONCEPT ANALYSIS UNTUK KEMIRIPAN DOKUMEN

2013 ◽  
Vol 1 (1) ◽  
pp. 21
Author(s):  
Endang Supriyati
Keyword(s):  
Fuzzy Logic ◽  
Formal Concept Analysis ◽  
Concept Lattice ◽  
Concept Analysis ◽  
Domain Ontology ◽  
Formal Concept ◽  
Fuzzy Formal Concept ◽  
Fuzzy Formal Concept Analysis

ABSTRAK Fuzzy logic dapat dimasukkan ke dalam ontologi untuk representasi ketidakpastian informasi yang ditemukan di banyak aplikasi domain karena kurangnya jelas batas-batas antara konsep domain. Fuzzy ontologi dihasilkan dari konsep hirarki yang telah ditetapkan. Namun, untuk membangun sebuah konsep hirarki untuk domain tertentu dapat menjadi tugas yang sulit dan membosankan. Untuk mengatasi masalah ini, diusulkan Fuzzy Formal Concept Analysis(FFCA). Titik awal dari metode diusulkan dalam paper ini adalah definisi dari konteks , relasi kemiripan pada domain ontologi kemudian memetakan ke dalam concept lattice. Dengan penggunaan tool lattice navigator,metode yang diusulkan mampu mengelompokkan domain ontology secara efektif. Kata Kunci: Ontology, Formal Concept Analysis, Fuzzy Formal Concept Analysis,konsep Lattice

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