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LOGCOM
2008
104views more  LOGCOM 2008»
13 years 8 months ago
Testing the Reasoning for Question Answering Validation
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
Anselmo Peñas, Álvaro Rodrigo, Valen...
SEMWEB
2007
Springer
14 years 2 months ago
Optimizing the Crisp Representation of the Fuzzy Description Logic SROIQ
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. Fuzzy Description Logics were born to represent the former type of knowledge, but ...
Fernando Bobillo, Miguel Delgado, Juan Góme...
IEEEICCI
2006
IEEE
14 years 2 months ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding
JAIR
2007
146views more  JAIR 2007»
13 years 8 months ago
Reasoning with Very Expressive Fuzzy Description Logics
It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are...
Giorgos Stoilos, Giorgos B. Stamou, Jeff Z. Pan, V...
KCAP
2005
ACM
14 years 2 months ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker