WordNet: a lexical database for English
Communications of the ACM
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
On Measuring Similarity for Conceptual Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Content-based text querying with ontological descriptors
Data & Knowledge Engineering - NLDB2002
Using a semantic concordance for sense identification
HLT '94 Proceedings of the workshop on Human Language Technology
Perspectives on ontology-based querying: Research Articles
International Journal of Intelligent Systems
Querying ontologies in relational database systems
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
A Multicriteria Approach to Data Summarization Using Concept Ontologies
IEEE Transactions on Fuzzy Systems
A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection
Expert Systems with Applications: An International Journal
Summarization by Domain Ontology Navigation
International Journal of Intelligent Systems
Data summarization ontology-based query processing
Expert Systems with Applications: An International Journal
Aggregation operators for fuzzy ontologies
Applied Soft Computing
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We present here an approach to conceptual querying where the aim is, given a collection of textual database objects or documents, to target an abstraction of the entire database content in terms of the concepts appearing in documents, rather than the documents in the collection. The approach is motivated by an obvious need for users to survey huge volumes of objects in query answers. An ontology formalism and a special notion of ''instantiated ontology'' are introduced. The latter is a structure reflecting the content in the document collection in that; it is a restriction of a general world knowledge ontology to the concepts instantiated in the collection. The notion of ontology-based similarity is briefly described, language constructs for direct navigation and retrieval of concepts in the ontology are discussed and approaches to conceptual summarization are presented.