WebGD: A CORBA-based Document Classification and Retrieval System on the Web
This paper presents the design and implementation of
the WebGD, a CORBA-based document classification and retrieval
system on Internet. The WebGD makes use of such techniques as Web,
CORBA, Java, NLP, fuzzy technique, knowledge-based processing
and database technology. Unified classification and retrieval model,
classifying and retrieving with one reasoning engine and flexible
working mode configuration are some of its main features. The
architecture of WebGD, the unified classification and retrieval model,
the components of the WebGD server and the fuzzy inference engine
are discussed in this paper in detail.
[1] Vinoski, S., 1997. CORBA: Integrating Diverse Applications Within
Distributed Heterogeneous Environments, IEEE Communications
Magazine, 14(2).
[2] Peng,F.,1998. Distributed Applications Develop-ment Using CORBA´╝î
Technical Report.
[3] Peng, F. and He, X., 2002, Conceptual Hierarchy: Formalism,
Implementation and Applications, Proc. Int. Conf. on Chinese
Information Processing,Vol.1.
[4] Peng, F. and He, X., 2005. Text Analysis and Information Retrival, Proc.
The Nat-l Jt. Conf. On Computation Linguistics, 2005 .(in Chinese).
[5] Mizumoto,M.,et al., 1982. Comparison of fuzzy reasoning methods,
Fuzzy sets and systems, Vol.8,No.3.
[6] Yager,R.R.,et al., 1987. Fuzzy sets and applications: selected papers by
L.A.Zadeh, John Wiley & Sons,Inc.
[7] Tong,R.M.,et al., 1989. A knowledge repre-sentation for conceptual IR,
Int. J. Intelligent Systems, 4(3), pp.259-284.
[8] Pablo Castells, Miria Fernandos, David Vallet, Phivos Mylonas and
Yannis Avrithis, Self-tuning Personalized Information Retrieval in an
Ontology-based Framework, Lecture Notes on Computer Science,
Volume 3762, 2005, 977-986.
[9] Gabor Nagypal, Improving Information Retrival Effectiveness Using
Knowledge Stored in Ontologies, Lecture Notes on Computer Science,
Volume 3762, 2005, 980-989.
[10] Dolf Trieschnigg, Proof of Concept: concept-based biomedical
information retrieval, ACM SIGIR Forum, Vol.44, No.2, December 2010.
[11] Ivan Cantador, Alejandro Bellogin, and Pablo Castells, A Multilayer
Ontology-based Hybrid Recommendation Model, AI Communication,
Vol.21, No.2-3, 2008.
[1] Vinoski, S., 1997. CORBA: Integrating Diverse Applications Within
Distributed Heterogeneous Environments, IEEE Communications
Magazine, 14(2).
[2] Peng,F.,1998. Distributed Applications Develop-ment Using CORBA´╝î
Technical Report.
[3] Peng, F. and He, X., 2002, Conceptual Hierarchy: Formalism,
Implementation and Applications, Proc. Int. Conf. on Chinese
Information Processing,Vol.1.
[4] Peng, F. and He, X., 2005. Text Analysis and Information Retrival, Proc.
The Nat-l Jt. Conf. On Computation Linguistics, 2005 .(in Chinese).
[5] Mizumoto,M.,et al., 1982. Comparison of fuzzy reasoning methods,
Fuzzy sets and systems, Vol.8,No.3.
[6] Yager,R.R.,et al., 1987. Fuzzy sets and applications: selected papers by
L.A.Zadeh, John Wiley & Sons,Inc.
[7] Tong,R.M.,et al., 1989. A knowledge repre-sentation for conceptual IR,
Int. J. Intelligent Systems, 4(3), pp.259-284.
[8] Pablo Castells, Miria Fernandos, David Vallet, Phivos Mylonas and
Yannis Avrithis, Self-tuning Personalized Information Retrieval in an
Ontology-based Framework, Lecture Notes on Computer Science,
Volume 3762, 2005, 977-986.
[9] Gabor Nagypal, Improving Information Retrival Effectiveness Using
Knowledge Stored in Ontologies, Lecture Notes on Computer Science,
Volume 3762, 2005, 980-989.
[10] Dolf Trieschnigg, Proof of Concept: concept-based biomedical
information retrieval, ACM SIGIR Forum, Vol.44, No.2, December 2010.
[11] Ivan Cantador, Alejandro Bellogin, and Pablo Castells, A Multilayer
Ontology-based Hybrid Recommendation Model, AI Communication,
Vol.21, No.2-3, 2008.
@article{"International Journal of Information, Control and Computer Sciences:56754", author = "Fuyang Peng and Bo Deng and Chao Qi and Mou Zhan", title = "WebGD: A CORBA-based Document Classification and Retrieval System on the Web", abstract = "This paper presents the design and implementation of
the WebGD, a CORBA-based document classification and retrieval
system on Internet. The WebGD makes use of such techniques as Web,
CORBA, Java, NLP, fuzzy technique, knowledge-based processing
and database technology. Unified classification and retrieval model,
classifying and retrieving with one reasoning engine and flexible
working mode configuration are some of its main features. The
architecture of WebGD, the unified classification and retrieval model,
the components of the WebGD server and the fuzzy inference engine
are discussed in this paper in detail.", keywords = "Text Mining, document classification, knowledgeprocessing, fuzzy logic, Web, CORBA", volume = "5", number = "11", pages = "1310-5", }