Semantic Representation of Cloud Services: a Case Study for Microsoft W indows Azure Beniamino Di Martino, Giuseppina Cretella, Antonio Esposito and Raffaele Giulio Sperandeo.
Case Study: Use of Semantic Web Technologies in Natural language interface to Business Applications. C. Anantaram, Tata Consultancy Services Limited, India April 2007. (Resource Description Framework) in the N3 representation, OWL (Web Ontology Language), and SPARQL.A Web service is software that provides its functionality through the Web using a common set of technologies, including SOAP, WSDL and UDDI. This allows access to software components residing on different platforms and written in different programming languages.Considering structure and elements of domain ontology, and multi-granularity technique on ontology integration, an ontology integration tool for the same field is developed in this paper. Take example for two electronic ontologies, in which the structural features of OWL (Web Ontology Language) files are analyzed, from which the main information are extracted and displayed by tree structure.
Introduction to ontologies and semantic web - tutorial - Introduction. This site introduces ontologies and semantic web, with the emphasis on how ontologies are defined and used for semantic web applications today (more about this site background is here).This tutorial is extracted from the introductory chapter of the dissertation that deals with the applications of ontologies in multi-agent.
Case Study: In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions about the earth. Ontologies and knowledge graph technology is leveraged with COR to manage and exchange terms and vocabularies that assist scientists in publishing, discovering.
Building an Enterprise Ontology is the jumping off point for a number of Semantic Technology initiatives. We’ll only mention in passing here the variety of those initiatives (we invite you to poke around our web site to find out more).
In (14), Web Service ontology is determined. They will use Web Service function and progress to calculate similarity. (Show abstract) (Hide abstract) ABSTRACT: Web Services are independent software systems that offer machine-to-machine interactions on the internet to attain well-described operations.
Semantic Web services cartography: semantic Web services are a mixture of XML Web services (SOAP, WSDL, UDDI) and semantic Web technologies (ontology, semantic annotation). Semantic Web services are the result of the Web evolution in two directions: adding dynamic elements to the Web and enhancement of the syntactic description of Web services.
Semantic E-Learn Services and Intelligent Systems using Web Ontology K.Vanitha, K.Yasudha Assistant Professor, Department of Computer Science, GITAM University, Visakhapatnam. Dr.M.Sri Venkatesh Associate Professor, Department of Computer Science, GITAM University, Visakhapatnam K.N.Sowjanya Assistant Professor Dept.IT, GITAM University.
The Semantic Web proposes the mark-up of content on the Web using formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Semantic Web Services: Theory, Tools and Applications brings contributions from researchers, scientists from both industry and academia, and representatives from different communities to study, understand.
As you all know, I have been taking some classes of late, one of which was a tool class for Data Semantics and Ontology. However, what are the differences and what are the implications of choosing one over the other. Data Semantics Data Semantics is the more traditional approach for data integration. It focuses on the relationship of the data to.
The Semantic Web Ontology Learning for the Semantic Web Alexander Maedche and Steffen Staab, University of Karlsruhe The Semantic Web relies heavily on formal ontologies to structure data for com-prehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web’s success.
Survey on ontology Based Semantic Web Usage Mining for Enhanced Recommendation Model. Ms.R.RoobaM.Sc(CT).,M.Phil., Dr.V.VallimayilPh.D. Abstract: Web Usage Mining is the process of extracting useful knowledge such as browsing pattern from weblog. The predicted behavioural.
DC Proposal: Automation of Service lifecycle on the Cloud by using Semantic technologies, Karuna P. Joshi, 285-292,, Managing virtualized services efficiently over the cloud is an open challenge. We propose a semantically rich, policy-based framework to automate the lifecycle of cloud services.
Cloud computing is an emerging paradigm with three basic service models such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastru cture as a Service (IaaS).
Application Integration using XML Web Services: The Report Element Arka Mitra (N0388235) 4 classes as mentioned above as well as the XML Schema file called FBWSSchema.xsd, a Java interface called FBWSInterface.java and an interface implementation file called FBWSInterfaceImpl.java; all three mentioned are located in a Java Source Package called com.arka.fbws.
They can be web services, like in the bioinformatics domain and in the ongoing Semantic Web Service Challenge (25,26), but also so-called REST services, which is still the most widespread case on the World wide web and which is still the normal case, e.g. when integrating functionality of legacy systems.