Basic category theory for computer scientists
Basic category theory for computer scientists
Algernon—a tractable system for knowledge-representation
ACM SIGART Bulletin - Special issue on implemented knowledge representation and reasoning systems
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
The complexity of existential quantification in concept languages
Artificial Intelligence
The design and implementation of hierarchical software systems with reusable components
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automated modeling of complex systems to answer prediction questions
Artificial Intelligence
A Terminological Knowledge Representation System with Complete Inference Algorithms
PDK '91 Proceedings of the International Workshop on Processing Declarative Knowledge
AI Research in the Context of a Multifunctional Knowledge Base: The BotanyKnowledge Base Project
AI Research in the Context of a Multifunctional Knowledge Base: The BotanyKnowledge Base Project
Developing and empirically evaluating robust explanation generators: the KNIGHT experiments
Computational Linguistics
Tools for assembling modular ontologies in ontolingua
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Representing scientific experiments: implications for ontology design and knowledge sharing
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Deriving expectations to guide knowledge base creation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A library of generic concepts for composing knowledge bases
Proceedings of the 1st international conference on Knowledge capture
Knowledge entry as the graphical assembly of components
Proceedings of the 1st international conference on Knowledge capture
APL '02 Proceedings of the 2002 conference on APL: array processing languages: lore, problems, and applications
Progress in the development of national knowledge infrastructure
Journal of Computer Science and Technology
IEEE Intelligent Systems
Using transformations to improve semantic matching
Proceedings of the 2nd international conference on Knowledge capture
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
Computer aided software design via inference and constraint propagation
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
Knowledge analysis on process models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Matching syntactic-semantic graphs for semantic relation assignment
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Experimenting with eXtreme design
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Customisable semantic analysis of texts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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Our goal is to build knowledge-based systems capable of answering a wide variety of questions, including questions that are unanticipated when the knowledge base is built. For systems to achieve this level of competence and generality, they require the ability to dynamically construct new concept representations, and to do so in response to the questions arLd tasks posed to them. Our approach to meeting this requirement is to build knowledge bases of generalized, representational components, and to develop methods for automatically composing components on demand. This work extends the normal inheritance approach used in frame-based systems, and imports ideas from several different areas of AI, in particular compositional modeling, terminological reasoning, and ontological engineering. The contribution of this work is a novel integration of these methods that improves the efficiency of building knowledge bases and the robustness of using them.