Semantic Data Mining refers to the data mining tasks that systematically incorporate domain
knowledge, especially formal semantics, into the process. In the past, many research efforts …

Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Abstract World Wide Web (WWW) constitutes fuzzy information and requires soft computing
techniques to deal context of the query. It works on the principle of keyword matching …

Exponential growth of biomedical literature and clinical data demands more robust yet
precise computational methodologies to extract useful insights from biomedical literature …

With the recent rapid growth of the Semantic Web (SW), the processes of searching and
querying content that is both massive in scale and heterogeneous have become …

Semantic and context knowledge has been envisioned as an appropriate solution for
addressing the content heterogeneity and information overload in mobile Web information …

System and method for the indexing and retrieval of seman tically annotated information
units from a collection of semantically annotated indexed information units in response to a …

We propose a novel knowledge-based technique for inter-document similarity computation,
called Context Semantic Analysis (CSA). Several specialized approaches built on top of …

Within maintenance management activities, engineers need to select maintenance
strategies so to carry out the technical maintenance actions. A single equipment is …