TY - GEN
T1 - Axiomatizing relational network for knowledge engineering - Exploring WordNet and FrameNet
AU - Chow, Ian C.
AU - Wong, Tak Ming
PY - 2006
Y1 - 2006
N2 - The focus of this paper will be showing how linguistic information can be modeled in an ontological engineering environment for knowledge management and acquisition, and on this basis made accessible for hierarchical and axiomatic processing. The simplicity of Relational Network Notation models stratal linguistic information solely with reference to sets of interconnecting nodes. Axioms can be effortlessly declared upon the simplicity of the notation such that the knowledge base can be easily extended with the power of inference. Fruitful new knowledge can thus be acquired through axiomatic inference in terms of uncovering latent links between concepts and/or instances in the knowledge base. With this model, various linguistic resources, WordNet and FrameNet originally encoding different domains of linguistic knowledge, are now capable of interfacing with each other, retrieving and generating underlying linguistic information, serving as a more comprehensive NLP tool.
AB - The focus of this paper will be showing how linguistic information can be modeled in an ontological engineering environment for knowledge management and acquisition, and on this basis made accessible for hierarchical and axiomatic processing. The simplicity of Relational Network Notation models stratal linguistic information solely with reference to sets of interconnecting nodes. Axioms can be effortlessly declared upon the simplicity of the notation such that the knowledge base can be easily extended with the power of inference. Fruitful new knowledge can thus be acquired through axiomatic inference in terms of uncovering latent links between concepts and/or instances in the knowledge base. With this model, various linguistic resources, WordNet and FrameNet originally encoding different domains of linguistic knowledge, are now capable of interfacing with each other, retrieving and generating underlying linguistic information, serving as a more comprehensive NLP tool.
UR - http://www.scopus.com/inward/record.url?scp=34547450544&partnerID=8YFLogxK
U2 - 10.1109/IRI.2006.252423
DO - 10.1109/IRI.2006.252423
M3 - Conference contribution
AN - SCOPUS:34547450544
SN - 0780397886
SN - 9780780397880
T3 - Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
SP - 262
EP - 267
BT - Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
T2 - 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Y2 - 16 September 2006 through 18 September 2006
ER -