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The tremendous growth of the World Wide Web (WWW) accumulates and exposes an abundance of unresolved real-world entities that are exposed to public Web databases. Entity resolution (ER) is the vital prerequisite for leveraging and resolving Web entities that describe the same real-world objects. Data blocking is a popular method for addressing Web entities and grouping similar entity profiles without...
The sufficient information on the web of data calls for an efficient entity resolution techniques in biomedical records, symptom vs. disease where a particular symptom, subjected to ambiguity. There may be several terms that refer to the same symptom. Thus, Entity Resolution becomes an essential task to identify a particular disease, for a given symptom. This work aims at suggesting the best alternate...
Web Services are a new kind of web application that has brought out quite challenging research issues. As the popularity of Web services increases, automated efficient discovery is desired. Due to the lack of representation of semantics in the description of Web services with the existing description languages, the process of selection could not retrieve the relevant Web services considering the QoS...
This work proposes a hybrid model for text document classification for information retrieval using Naive Bayes and Rough set theory. Rough set theory is used for feature reduction and Naive Bayes theorem is used for classification of documents into the predefined categories by means of the probabilistic values. The deployment of the proposed model is planned through an enhanced method of the utilization...
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