Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
ACM Computing Surveys (CSUR)
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Clustering documents in a web directory
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
The Knowledge Engineering Review
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Matching hierarchical classifications with attributes
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Ten Challenges for Ontology Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Approximate Structure-Preserving Semantic Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
A large dataset for the evaluation of ontology matching
The Knowledge Engineering Review
Relation-Based Access Control: An Access Control Model for Context-Aware Computing Environment
Wireless Personal Communications: An International Journal
Visualizing collaboration networks implicit in digital libraries using OntoStarFish
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
World Wide Web
Domains and context: First steps towards managing diversity in knowledge
Web Semantics: Science, Services and Agents on the World Wide Web
Journal of Web Engineering
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Classifications have been used for centuries with the goal of cataloguing and searching large sets of objects. In the early days it was mainly books; lately it has also become Web pages, pictures and any kind of digital resources. Classifications describe their contents using natural language labels, an approach which has proved very effective in manual classification. However natural language labels show their limitations when one tries to automate the process, as they make it very hard to reason about classifications and their contents. In this paper we introduce the novel notion of Formal Classification, as a graph structure where labels are written in a propositional concept language. Formal Classifications turn out to be some form of lightweight ontologies. This, in turn, allows us to reason about them, to associate to each node a normal form formula which univocally describes its contents, and to reduce document classification and query answering to reasoning about subsumption.