Machine learning in automated text categorisation
Machine learning in automated text categorisation
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series)
Ontology-based feature aggregation for multi-valued ranking
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Semantic annotation of RESTful services using external resources
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Facilitating enterprise service discovery for non-technical business users
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Lightweight semantic annotation of geospatial REST ful services
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Feature LDA: a supervised topic model for automatic detection of web API documentations from the web
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Automated information extraction from web APIs documentation
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Adding Semantic Annotations into Geospatial RESTful Services
International Journal on Semantic Web & Information Systems
Quality-driven extraction, fusion and matchmaking of semantic web API descriptions
Journal of Web Engineering
Integrating semantic Web services ranking mechanisms using a common preference model
Knowledge-Based Systems
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The Web is nowadays moving from a Web of data to a Web of services. In this paper we present our approach for Web Service discovery on Web scale, targeted to support flexible and on-demand Web Service usage on the Web. The approach starts with crawling the Web for Web Services, gathering on the one hand WSDL service descriptions and related documents, and, on the other hand, Web APIs. We describe our methodology for building unique service objects from multiple Web resources. Then we provide an overview of how we extract basic service information from all the data and use it to semantically annotate the resulting services.