Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Data & Knowledge Engineering
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Using the structure of Web sites for automatic segmentation of tables
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Composing, optimizing, and executing plans for bioinformatics web services
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Learning source descriptions for web services
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Wrapper maintenance: a machine learning approach
Journal of Artificial Intelligence Research
Automatic annotation of Web services based on workflow definitions
ACM Transactions on the Web (TWEB)
Automated construction of web accessibility models from transaction click-streams
Proceedings of the 18th international conference on World wide web
Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Efficient learning of action schemas and web-service descriptions
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Learning semantic descriptions of web information sources
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Combining document classification and ontology alignment for semantically enriching web services
New Generation Computing
Automatic description of context-altering services through observational learning
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
A Query-based Approach for Semi-Automatic Annotation of Web Services
International Journal of Information Systems and Social Change
Learning web-service task descriptions from traces
Web Intelligence and Agent Systems
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Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. To model a service, the user has to specify semantic types of the input and output data it uses and its functionality. As large number of new services come online, it is impractical to require the user to come up with a semantic model of the service or rely on the service providers to conform to a standard. Instead, we would like to automatically learn the semantic model of a new service. This paper addresses one part of the problem: namely, automatically recognizing semantic types of the data used by Web services. We describe a metadata-based classification method for recognizing input data types using only the terms extracted from a Web Service Definition file. We then verify the classifier's predictions by invoking the service with some sample data of that type. Once we discover correct classification, we invoke the service to produce output data samples. We then use content-based classifiers to recognize semantic types of the output data. We provide performance results of both classification methods and validate our approach on several live Web services.