Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Automated modeling of complex systems to answer prediction questions
Artificial Intelligence
Knowledge entry as the graphical assembly of components
Proceedings of the 1st international conference on Knowledge capture
Conceptual Information Processing
Conceptual Information Processing
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Distributed Repositories of Highly Expressive Reusable Ontologies
IEEE Intelligent Systems
Reasoning About Actions in Narrative Understanding
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Developing and empirically evaluating robust explanation generators: the KNIGHT experiments
Computational Linguistics
Systematic construction of a versatile case system
Natural Language Engineering
Semi-automatic recognition of noun modifier relationships
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Building concept representations from reusable components
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Knowledge entry as the graphical assembly of components
Proceedings of the 1st international conference on Knowledge capture
Supporting plan authoring and analysis
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Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
Using transformations to improve semantic matching
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AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
EZPAL: environment for composing constraint axioms by instantiating templates
International Journal of Human-Computer Studies - Protégé: community is everything
Estimating similarity among collaboration contributions
Proceedings of the 3rd international conference on Knowledge capture
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
Proceedings of the 3rd international conference on Knowledge capture
Indirect anaphora resolution as semantic path search
Proceedings of the 3rd international conference on Knowledge capture
Enabling experts to build knowledge bases from science textbooks
Proceedings of the 4th international conference on Knowledge capture
Usable artificial intelligence
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Automatic interpretation of loosely encoded input
Artificial Intelligence
Proceedings of the 14th international conference on Intelligent user interfaces
Design and implementation of the CALO query manager
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
A unified knowledge based approach for sense disambiguationm and semantic role labeling
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A modular action description language
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Knowledge integration across multiple texts
Proceedings of the fifth international conference on Knowledge capture
Learning by reading: a prototype system, performance baseline and lessons learned
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Boeing's NLP system and the challenges of semantic representation
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
The knowledge required to interpret noun compounds
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
International Journal of Advanced Intelligence Paradigms
Improving the quality of text understanding by delaying ambiguity resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Proceedings of the 2010 conference on Data Mining for Business Applications
Naturalness vs. predictability: a key debate in controlled languages
CNL'09 Proceedings of the 2009 conference on Controlled natural language
What is hard about representing biology textbook knowledge
Proceedings of the sixth international conference on Knowledge capture
Halo i: a controlled experiment for large scale knowledge base development
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
A multimodal discourse ontology for meeting understanding
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
KBGen: text generation from knowledge bases as a new shared task
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Interpreting spatiotemporal expressions from english to fuzzy logic
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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Building a knowledge base for a given domain traditionally involves a subject matter expert and a knowledge engineer. One of the goals of our research is to eliminate the knowledge engineer. There are at least two ways to achieve this goal: train domain experts to write axioms (i.e., turn them into knowledge engineers) or create tools that allow users to build knowledge bases without having to write axioms. Our strategy is to create tools that allow users to build knowledge bases through instantiation and assembly of generic knowledge components from a small library.In many ways, creating such a library is like designing an ontology: What are the most general kinds of events and entities? How are these things related hierarchically? What is their meaning and how is it represented? The pressures of making the library usable by domain experts, however, leads to departures from the traditional ontology design goals of coverage, consensus and elegance. In this paper we describe our component library, a hierarchy of reusable, composable, domain-independent knowledge units. The library emphasizes coverage (what is an appropriate set of components for our task), access (how can a domain expert find appropriate components) and semantics (what knowledge and what kind of representation permit useful composition). We have begun building a library on these principles, influenced heavily by linguistic resources. In early evaluations we have put the library into the hands of domain experts (in Biology) having no experience with knowledge bases or knowledge acquisition.