An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Feynman Lectures on Computation
Feynman Lectures on Computation
Journal of Symbolic Computation
Data visualisation and manifold mapping using the ViSOM
Neural Networks - New developments in self-organizing maps
Formal concept analysis for general objects
Discrete Applied Mathematics - Special issue: The 1998 conference on ordinal and symbolic data analysis (OSDA '98)
Encapsulation and information hiding as the keys to enhanced hypermedia development and maintenance
Data & Knowledge Engineering
Exploring semantic groups through visual approaches
Journal of Biomedical Informatics - Special issue: Unified medical language system
Clustering classifiers for knowledge discovery from physically distributed databases
Data & Knowledge Engineering
Expanding self-organizing map for data visualization and cluster analysis
Information Sciences: an International Journal - Special issue: Soft computing data mining
Modeling a description logic vocabulary for cancer research
Journal of Biomedical Informatics
Experiences in reusing knowledge sources using Protégé and PROMPT
International Journal of Human-Computer Studies - Protégé: community is everything
PROTÉGÉ as a vehicle for developing medical terminological systems
International Journal of Human-Computer Studies - Protégé: community is everything
Conceptual modelling of web information systems
Data & Knowledge Engineering
A framework for modeling health behavior protocols and their linkage to behavioral theory
Journal of Biomedical Informatics - Special section: JAMA commentaries
Topology and intelligent data analysis
Intelligent Data Analysis
An approach to ontology for institutional facts in the semantic web
Information and Software Technology
A simplicial complex, a hypergraph, structure in the latent semantic space of document clustering
International Journal of Approximate Reasoning
Journal of Biomedical Informatics
Typed category theory-based micro-view emergency knowledge representation
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
| Hi-index | 0.00 |
Based on a geometrical interpretation of knowledge space, this work defines relationships between data, concepts and models, and establishes a framework for their integration. Concepts encapsulate our knowledge and provide a basis for data acquisition. They change as we learn more. Every discipline operates with a specific set of concepts organized in models. In order to co-process data collected against different concepts, we need to map the underlying concepts. Modal Intentional Actual (MIA) structure, derived from knowledge representation theory, enables the separation of data from hypotheses, and provides a consistent approach for building data models, concept mapping and defining complex relationships, which are represented by morphisms in category theory. Essential data elements from enterprise modeling techniques provide specifications for storing concepts and morphisms in a database.