Models and languages for describing and discovering E-services
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Machine Learning
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Proceedings of the 27th International Conference on Very Large Data Bases
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Towards A Semantic Framework for Service Description
Proceedings of the IFIP TC2/WG2.6 Ninth Working Conference on Database Semantics: Semantic Issues in E-Commerce Systems
Data extraction and label assignment for web databases
WWW '03 Proceedings of the 12th international conference on World Wide Web
Meteor-s web service annotation framework
Proceedings of the 13th international conference on World Wide Web
An interactive clustering-based approach to integrating source query interfaces on the deep Web
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Web-Service Semantic Enabled Implementation of Machine vs.Machine Business Negotiation
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Semantic Web Services: Current Status and Future Directions
ICWS '04 Proceedings of the IEEE International Conference on Web Services
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
WWW '05 Proceedings of the 14th international conference on World Wide Web
Building e-commerce systems using semantic application framework
International Journal of Web Engineering and Technology
Semantic deep web: automatic attribute extraction from the deep web data sources
Proceedings of the 2007 ACM symposium on Applied computing
Enriching Ontology for Deep Web Search
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Automatic wrapper induction from hidden-web sources with domain knowledge
Proceedings of the 10th ACM workshop on Web information and data management
ODE: Ontology-assisted data extraction
ACM Transactions on Database Systems (TODS)
Building application ontologies from descriptions of Semantic Web Services
Web Intelligence and Agent Systems
Discovering interesting information with advances in web technology
ACM SIGKDD Explorations Newsletter
Web Intelligence and Agent Systems
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The vision of Semantic Web services promises a network of interoperable Web services over different sources. A major challenge to the realization of this vision is the lack of automated means of acquiring domain ontologies necessary for marking up the Web services. In this paper, we propose the DeepMiner system which learns domain ontologies from the source Web sites. Given a set of sources in a domain of interest, DeepMiner first learns a base ontology from their query interfaces. It then grows the current ontology by probing the sources and discovering additional concepts and instances from the data pages retrieved from the sources. We have evaluated DeepMiner in several real-world domains. Preliminary results indicate that DeepMiner discovers concepts and instances with high accuracy.