Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
A Rough Set Based Self-Adaptive Web Search Engine
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
VPRSM Approach to WEB Searching
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A Method of Web Search Result Clustering Based on Rough Sets
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Fuzzy semantic tagging and flexible querying of XML documents extracted from the Web
Journal of Intelligent Information Systems
Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Rough concept lattice based ontology similarity measure
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Towards Representing FCA-based Ontologies in Semantic Web Rule Language
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Concept similarity in Formal Concept Analysis: An information content approach
Knowledge-Based Systems
A Granular Space Model for Ontology Learning
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Combining weights with fuzziness for intelligent semantic web search
Knowledge-Based Systems
A Fuzzy-set based Semantic Similarity Matching Algorithm for Web Service
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 2
A new model of evaluating concept similarity
Knowledge-Based Systems
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Reasoning with rough description logics: An approximate concepts approach
Information Sciences: an International Journal
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
Formal concept analysis for an e-learning semantic web
Expert Systems with Applications: An International Journal
Fuzzy Concept Lattices Determined by (θ,σ)-Fuzzy Rough Approximation Operators
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Granular computing applied to ontologies
International Journal of Approximate Reasoning
A reasonable rough approximation for clustering web users
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Rough set approximations in formal concept analysis and knowledge spaces
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Relation between concept lattice reduction and rough set reduction
Knowledge-Based Systems
Automatic fuzzy semantic web ontology learning from fuzzy object-oriented database model
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Combining fuzzy logic and semantic web to enable situation-awareness in service recommendation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Word AdHoc Network: Using Google Core Distance to extract the most relevant information
Knowledge-Based Systems
A FCA-Based ontology construction for the design of class hierarchy
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
Towards a Framework for Approximate Ontologies
Fundamenta Informaticae - The 1st International Workshop on Knowledge Representation and Approximate Reasoning (KR&AR)
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
A hybrid KMV model, random forests and rough set theory approach for credit rating
Knowledge-Based Systems
Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
Self-adaptive semantic web service matching method
Knowledge-Based Systems
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach
Information Systems Frontiers
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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Fuzzy Formal Concept Analysis (FFCA) is a generalization of Formal Concept Analysis (FCA) for modeling uncertainty information. FFCA provides a mathematical framework which can support the construction of formal ontologies in the presence of uncertainty data for the development of the Semantic Web. In this paper, we show how rough set theory can be employed in combination with FFCA to perform Semantic Web search and discovery of information in the Web.