In this paper, we propose a web service clustering technique based on Carrot search clustering and K-means to group similar services together to generate tags ...

Apr 25, 2016 · Their approach consists of two tagging strategies: tag enriching and tag extraction. They cluster Web services using WSDL documents, and then ...

In this paper, we propose a Web service clustering technique based on Carrot search clustering and K-means to group similar services together. These clustered ...

This paper proposes a Web service clustering technique based on Carrot search clustering and K-means to group similar services together and develops a ...

In this paper we propose an approach for tagging Web services automatically. It adapts techniques from text min- ing and machine learning to extract tags from ...

It adapts techniques from text mining and machine learning to extract tags from WSDL descriptions. Then it enriches these tags by extracting relevant synonyms ...

In this paper we propose an approach for tagging Web services automatically. It adapts techniques from text mining and machine learning to extract tags from ...

This paper proposes an approach for tagging Web services automatically that adapts techniques from text mining and machine learning to extract tags from ...

Article: An Automatic Approach For Tagging Web Services Using Machine Learning Techniques ; Lin, MCheung, DWL · Classification Clustering Recommendation Tagging

We compare three state-of-the-art ML techniques for multilabel classification - Random Forest, K-Nearest Neighbor, and Neural Network - to automatically tag ...