… information-retrieval-based methods are applied to the similarity calculations. Finally, an
agglomerative clustering … hybrid specificity values of the new node and the existing nodes of the …

… ontology failed, then applied information-retrievalbased … , Hybrid Term Similarity (HTS)
method [6] that used ontology … agglomerative algorithm for Web service clustering. Secondly…

… Therefore, this work proposes a web service classification approach based on ontology …
Web-service clustering with a hybrid of ontology learning and information-retrieval-based term …

… When the similarity calculation fails, we apply information retrieval-based methods. Based on
… Therefore, in this paper, we combined inside and outside information and calculated hybrid …

… learning method and information retrieval based (IR) method in calculating the similarities.
For the ontology-learning … Hybrid term similarity method was used to calculate the semantic …

… In this paper, a hybrid approach independent of service … is combined with the information
retrieval-based binary vectors to … with the data for, eg clustering, self organizing maps. In …

… Thus, the authors proposed hybrid term similarity-based clustering approach in their …
Furthermore, the Information retrieval based (IR) techniques such as cosine similarity usually focus …

… objects based on semantic web technology using a hybrid … functionality has been integrated
with semantic web service. … system for information retrieval based on different methods and …

… framework DeepWSC for web service clustering. It integrates … [18] proposed a hybrid
approach which calculated service … , or using an information retrieval-based way equipped with …

… Information retrieval based on semantics, can be exploited in order to expand semantics of
… semantic extension iv) All documents are clustered in order to produce semantic features …