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Information Extraction from Conference Domain

M. SaravanaPriya, Dr. Anithakumari


The overall aim of our work is to improve creation and maintenance of information and delivery in conference domain by introducing semantic technologies to this domain. First of all, the weak point and its reason are analyzed for keyword based search engine. Hence Semantic Web and its applications in intelligent retrieval domains are introduced. Semantic Web is driving the evolution of the current Web by enabling users to find, share, and combine information more easily making it possible for the web to understand and satisfy the requests of user .A recent trend in semantic web are exchange the knowledge in meaningful way for organizations. Major challenge for the semantic web applications are modeling of ontology and is based on retrieval [3]. In this paper, We focused about Protégé tool and an architecture based on the tool and its addressing issues are presented. An easy to use the ontology modeling tool Protégé and it is deployed and convenient mechanism to create and edit ontology. Finally the tool and architecture are demonstrated in conference domain system which is based on conference ontology. Search activities carried out by system and meaningful results are extracted and performances are evaluated.


Semantic Web, Ontology, Protégé Tool, OWL

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P.H. Alesso, C. F. Smith. Developing Semantic Web Services. Canada: Wellesey MA, 2004. 165-272.

Konstantinos Kotis . Semantic Web Search: Perspectives and Key Technologies.Karlovassi, 83200 Samos, Greece.

Siegfried Handschuh, Steffen Staab. Authoring and annotation of web pages in CREAM. Proceedings of the 11thInternational World Wide Web Conference. USA: Honolulu, Hawaii, ACM Press, 2002. 462-473.

P.H. Alesso, C..F. Smith, Developing Semantic Web Servces, A K Peters ltd, Wellesey MA, Canada, Date,2004, pp.165-272.

Brooke Abrahamsand Wei Dai. Architecture for Automated Annotation and Ontology Based Querying of Semantic Web Resources.

Ling Li, Shengqun Tang, Lina Fang,Ruliang Xiao,Xinguo Deng,Youwei Xu,Yang Xu, Visual Ontology Modeling Tool and Ontology Based Querying of Semantic Web Resources, 31st Annual International Computer Software and Applications Conference(COMPSAC 2007.

The Protégé project., 2002

Konstantinos Kotis, DPaolo Ceravolo, Ernesto Damiani, Member, IEEE, and Marco Viviani “Bottom-Up Extraction and Trust-Based Refinement of Ontology Metadata” IEEE Transactions On Knowledge And Data Engineering, Vol. 19, No. 2, February 2007.

C.-H. Chang and S.-c. Kuo, "A semi-supervised approach for Webdata extraction with visual support," IEEE Intelligent Systems, vol.19, pp. 56-64, 2004.

V. Crescenzi, G. Mecca, et al., "RoadRunner: towardsautomatic dataextraction from large Web sites," in Proceedings of the 26thInternational Conference on Very Large DatabaseSystems(VLDB2006), Seoul, Korea, 2006.

A. Arasu and H. Garcia-molina, "Extracting structured data from Webpages," in Proceedings of the 22th ACM SIGMOD InternationalConference on Management of Data(SIGMOD2003), San Diego,California, USA, 2003.

D. Cai, S. Yu, et al., "VIPS: a Vision-based Page SegmentationAlgorithm," Microsoft Technical Report2003.

J. R. Quinlan, C4.5: Programs for Machine Learning: MorganKaufmann Publishers Inc, 1993.

T. Hastie and R. Tibshirani, "Discriminant adaptive nearest neighborclassification," IEEE Transactions on Pattern Analysis and MachineIntelligence, vol. 18, pp. 607-616, 1996.

C.-H. Chang, M. Kayed, et al., "A Survey of Web Information Extraction Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 18, pp. 1411-1428, 2006.

A. Laender, B. A. Ribeiro-neto, et al., "A brief survey of web data extraction tools," SIGMOD Record, vol. 31, 2002.



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