Compatible Service Retrieval Using Improved Similarity Measure
نویسندگان
چکیده
Now-a-days retrieving suitable services become a prominent need for the user. However available service retrieving mechanism uses the compatible similarity between the services so that user can get likely homogeneous services. This paper work proposes a document based search which uses cosine measure for comparing WSDL files for retrieving similar services. The development of Web Services and Web Based Application are made into clusters by their characteristics, and these clusters are used for the document based search and it has the advantage of reducing the complexity by suppressing the number of services during search. When the number of services increases the complexity of the retrieval of the services also increased.
منابع مشابه
Web Service Clustering using a Hybrid Term-Similarity Measure with Ontology Learning
Clustering Web services into functionally similar clusters is a very efficient approach to service discovery. A principal issue for clustering is computing the semantic similarity between services. Current approaches use similarity-distance measurement methods such as keyword, information-retrieval or ontology based methods. These approaches have problems that include discovering semantic chara...
متن کاملA Web Service Discovery Scheme Based on Structural and Semantic Similarity
With the increasing adoption of Web Services and service-oriented computing paradigm, matchmaking of web services with the request has become a significant task. This warrants the need to establish an effective and reliable Web Service discovery. Here reducing the service discovery time and increasing the quality of discovery are key issues. This paper proposes a new semantic Web Service discov...
متن کاملA New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملSimilarity-Based Retrieval for Geospatial Se- mantic Web Services Specified using the Web Service Modeling Language (WSML-Core)
What prevents the Geospatial Semantic Web from taking off is not a missing architecture and protocol stack but, beside other aspects, the question of how Web services can be semi-automatically discovered and whether and to what degree they satisfy user requirements. Two approaches turned out to be useful for semanticenabled geospatial information retrieval: subsumption reasoning and similarity ...
متن کاملContent Based Image Retrieval Using Optimum Peano Scan
We present a new technique for content based image retrieval where feature vector to be matched is very much specific to the query image. A particular Peano scan which is optimal in encoding the query image is used to convert the scanning pattern of all database images. Features are derived from these scan converted images to calculate the similarity measure. The features being query specific, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012