Web Ontology Language

Ontology contains a set of concepts and relationship between concepts, and can be applied into information retrieval to deal with user queries. Challenges in interpreting a query from different ontologies: • It is not possible to determine in advance which ontologies will be relevant to a particular query. • User queried keyword has to be translated into ontology-centric terminologies. • Answer to a query may require the integration of information from multiple ontologies. Our approach is

the construction domain, the semantic web has been used in the field of construction education, supply chain, project and construction management, material storage, project design, architecture and graphic designs, etc. In the field of construction education, repositories have been developed in managing objects as well as metadata using ontologies that offers a set of services such as storing, retrieving and searching of learning objects using semantic web technologies(Ahmed et al. 2007; Pathmeswaran

For example, services like WFS will now be Software as a Service (SaaS) as they offer functionality, such as spatio-temporal query. Similarly, processing services like WPS (Web processing Services) where the computation resources are provided via PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). The benefits of using a cloud computing infrastructure from a networking perspective are standardized service

ROBUST MODULE BASED DATABASE MANAGEMENT SYSTEM ABSTRACT The present tendency for developing an ontology-based data management system (DMS) is to take advantage of on attempts made to design a preceding well-established DMS (a reference system). The method aggregates to bring out from the mention of DMS a section of schema applicable to the new application requirements – a module –perhaps personalizing it with additional-conditions w.r.t. the application under building, and then directing a dataset

An Enhanced Approach for Web Services Clustering using Supervised Machine Learning Techniques ABSTRACT Automatic document classification provides techniques that may improve and support web service clustering. As the number of services increases, the cost of classifying services through manual work increases. In this research, we presented an enhanced approach for service clustering that combines text mining and machine learning technology. The method only uses text description of each service

Lack of Professional Human Resource Workforce A mechanized information framework requires gifted work force for its successful operation. Preparing is one of the angles for utilization of any new technology. Inadequacy of talented workforce can be overcome by giving fitting preparing in the required range. An appropriate preparing module in building engineering of a solid database ought to be accessible. On the off chance that it is not actualized, then results or results picked up by such sort

Introduction Web Services are an every growing and highly useful method of viewing and manipulating geographic products, however there are several different ways in which to go about interfacing Web Services. SOAP (Originally Simple Object Access Protocol) and Representational State Transfer (REST) are two of the most recent and commonly used methods for interfacing Web Services. This essay will expand on what SOAP and REST are, compare the differences between them, and where possible relate their

1.4.3 Deep Learning Technique Machine Learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world. So rather than hand-coding software routines with a specific set of instructions to accomplish a particular task, the machine is “trained” using large amounts of data and algorithms that give it the ability to learn how to perform the task [12]. Deep learning is another Machine Learning (ML) algorithm

QOS AWARE WEB SERVICE SELECTION AND COMPOSITION FOR TRAVELS APPLICATION V.Bharath Kumar., (M.E)., Department of Information Technology Sri Sairam Engineering College Chennai, Tamilnadu. bharathkncet@gmail.com M. Suresh Kumar., M.E., (P.HD)., Department of Information Technology Sri Sairam Engineering College Chennai, Tamilnadu. sureshkumar.it@sairam.edu.in In UDDI registry there are innumerous numbers of functionally same Web Services (WS), to select the most qualified and relevant Web Service

ABSTRACT Web Services are modular, self-describing, self-contained and loosely coupled applications that can be published, located, and invoked across the web. With the increasing number of web services available on the web, the need for web services composition is becoming more and more important. Nowadays, for answering complex needs of users, the construction of new web services based on existing ones is required. This problem is known as web services composition. However, it is one of big challenge