Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Modern Information Retrieval
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Matching Theory (North-Holland mathematics studies)
Matching Theory (North-Holland mathematics studies)
Document Clustering Using Locality Preserving Indexing
IEEE Transactions on Knowledge and Data Engineering
A web-based kernel function for measuring the similarity of short text snippets
Proceedings of the 15th international conference on World Wide Web
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Framework for Web service query algebra and optimization
ACM Transactions on the Web (TWEB)
Deploying and managing Web services: issues, solutions, and directions
The VLDB Journal — The International Journal on Very Large Data Bases
Efficiently finding web services using a clustering semantic approach
Proceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation: organized with the 17th International World Wide Web Conference (WWW 2008)
Improving Web Service Discovery by Using Semantic Models
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
Discovering Homogeneous Web Service Community in the User-Centric Web Environment
IEEE Transactions on Services Computing
Discovering homogenous service communities through web service clustering
SOCASE'08 Proceedings of the 2008 AAMAS international conference on Service-oriented computing: agents, semantics, and engineering
Clustering WSDL Documents to Bootstrap the Discovery of Web Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Measuring Similarity of Web Services Based on WSDL
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
On Service Community Learning: A Co-clustering Approach
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Service-Centric Framework for a Digital Government Application
IEEE Transactions on Services Computing
Sparse functional representation for large-scale service clustering
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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We propose a novel framework to automatically discover service communities that group together related services in a diverse and large scale service space. Community discovery is a key enabler to address a set of fundamental issues in service computing, which include service discovery, service composition, and quality-based service selection. The standard Web service description language, WSDL, primarily describes a service from the syntactic perspective and rarely provides rich service descriptions. This hinders the direct application of traditional document clustering approaches. In order to attack this central challenge, the proposed framework applies Non-negative Matrix Factorization (NMF) to the WSDL corpus for service community discovery. NMF has demonstrated its effectiveness in clustering high-dimensional sparse data while offering intuitive interpretability of the clustering result. NMF-based community discovery is further augmented via semantic extensions of the WSDL descriptions. The extended semantics are first computed based on the information sources outside the WSDL corpus. They are then seamlessly integrated with NMF, which makes the semantic extensions fit in the context of the original services. The experiments on real world Web services are presented to show the effectiveness of the proposed framework.