Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaikos book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Ontology Matching

http://emamispnu.persiangig.com/Projects/Cloud%20Computing/science_2.pdf

Review: A survey on security issues in service delivery models of cloud computing

JADE (Java Agent Development Framework) is a software framework to make easy the development of multi-agent applications in compliance with the FIPA specifications. JADE can then be considered a middle-ware that implements an efficient agent platform and supports the development of multi agent systems. JADE agent platform tries to keep high the performance of a distributed agent system implemented with the Java language. In particular, its communication architecture tries to offer flexible and efficient messaging, transparently choosing the best transport available and leveraging state-of-the-art distributed object technology embedded within Java runtime environment. JADE uses an agent model and Java implementation that allow good runtime efficiency, software reuse, agent mobility and the realization of different agent architectures.

Developing Multi-Agent Systems with JADE

Over the Internet today, computing and communications environments are significantly more complex and chaotic than classical distributed systems, lacking any centralized organization or hierarchical control. There has been much interest in emerging Peer-to-Peer (P2P) network overlays because they provide a good substrate for creating large-scale data sharing, content distribution, and application-level multicast applications. These P2P overlay networks attempt to provide a long list of features, such as: selection of nearby peers, redundant storage, efficient search/location of data items, data permanence or guarantees, hierarchical naming, trust and authentication, and anonymity. P2P networks potentially offer an efficient routing architecture that is self-organizing, massively scalable, and robust in the wide-area, combining fault tolerance, load balancing, and explicit notion of locality. In this article we present a survey and comparison of various Structured and Unstructured P2P overlay networks. We categorize the various schemes into these two groups in the design spectrum, and discuss the application-level network performance of each group.

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A survey and comparison of peer-to-peer overlay network schemes

The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials.The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa. A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http://www.semanticwebprimer.org.

/pdf/a-semantic-web-primer-121rmyoa9a.pdf

A semantic Web primer

The Web is moving from being a collection of pages toward a collection of services that interoperate through the Internet. The first step toward this interoperation is the location of other services that can help toward the solution of a problem. In this paper we claim that location of web services should be based on the semantic match between a declarative description of the service being sought, and a description of the service being offered. Furthermore, we claim that this match is outside the representation capabilities of registries such as UDDI and languages such as WSDL.We propose a solution based on DAML-S, a DAML-based language for service description, and we show how service capabilities are presented in the Profile section of a DAML-S description and how a semantic match between advertisements and requests is performed.

https://www.cmpe.boun.edu.tr/~pyolum/cmpe596/papers/matchmaking.pdf

Semantic Matching of Web Services Capabilities

The web is moving from being a collection of pages toward a collection of services that interoperate through the Internet. A fundamental step toward this interoperation is the ability of automatically locating services on the bases of the functionalities that they provide. Such a functionality would allow services to locate each other and automatically interoperate. Location of web services is inherently a semantic problem, because it has to abstract from the superficial differences between representations of the services provided, and the services requested to recognize semantic similarities between the two.Current Web Services technology based on UDDI and WSDL does not make any use of semantic information and therefore fails to address the problem of matching between capabilities of services and allowing service location on the bases of what functionalities are sought, failing therefore to address the problem of locating web services. Nevertheless, previous work within DAML-S, a DAML-based language for service description, shows how ontological information collected through the semantic web can be used to match service capabilities. This work expands on previous work by showing how DAML-S Service Profiles, that describe service capabilities within DAML-S, can be mapped into UDDI records providing therefore a way to record semantic information within UDDI records. Furthermore we show how this encoded information can be used within the UDDI registry to perform semantic matching.

/pdf/importing-the-semantic-web-in-uddi-25qscrppil.pdf

Importing the Semantic Web in UDDI

The growing infrastructure for Web Services assumes a ”programmer in the loop” that hardcodes the connections between Web Services and directly programs Web Service composition. Emerging technology based on DAML-S and the Semantic Web allows Web Services to connect and transact automatically with minimal or no intervention from programmers. In this paper we discuss the problems related with autonomous Web Services, and how DAMLS provides the information to solve them. Furthermore, we describe the implementation of two demonstration systems that use such technology: the first system is a B2B application in which a business that assembles computers automatically finds partners providing parts and automatically transacts with them; the second describes an e-commerce application that helps a user to organize a trip to a meeting automatically interacting with different Web Services and the calendar of the user stored in MS Outlook. The results of these experiments show how Web Services can be deployed on the Web to interact and provide information dynamically; second, how the transaction can be carried on automatically with no programmer intervention.

/pdf/delivering-semantic-web-services-5d091loi2e.pdf

Delivering Semantic Web Services

The public experiment of the semantic service search with the public UDDI registry is shown in this paper. The UDDI is a standard registry for Web Services, but if we consider it as a search engine, the functionality is restrictive, that is, based on keyword retrieval only. Therefore, the Matchmaker was developed to enhance the UDDI search functionality by using semantics such as ontology and constraints. However, for Web Services as e-Business platform, compliance with the standard specification such as SOAP, WSDL, UDDI is the key. Thus, our goal of this experiment is to seamlessly combine semantic search with those standards, and investigate the feasibility of using semantics with Web Services. This paper firstly shows the overall architecture where the Matchmaker can be located between UDDI and service developers/users. Then, the Matchmaker and our semantic service description which can be complementary used with the standard WSDL and UDDI Data Structure are shown. Also, we illustrate some tools which generate the service description and support the use of the Matchmaker. Finally, we qualitatively evaluate this experiment on the response from business users.

/pdf/preliminary-report-of-public-experiment-of-semantic-service-3owbyw9l8a.pdf

Preliminary Report of Public Experiment of Semantic Service Matchmaker with UDDI Business Registry

Public deployment of the semantic service matchmaker to a UDDI registry for half a year is shown in this paper. UDDI is a standard registry for Web Services, but if we consider it a search engine, its functionality is limited to a keyword search. Therefore, the Matchmaker was developed to enhance UDDI by service capability matching. Then, we have deployed the Matchmaker to one of four official UDDI registries operated by NTT-Communications since September 2003. In this paper, we first introduce the Matchmaker with UDDI, and illustrate client tools which lower the threshold of use of semantics. Then, we evaluate this deployment by benchmarks in terms of performance and functionality. Finally, we discuss user requirements obtained by two ways: questionnaire and observation of search behaviour.

Takahiro Kawamura

Papers

Semantic Matching of Web Services Capabilities

Importing the Semantic Web in UDDI

Delivering Semantic Web Services

Preliminary Report of Public Experiment of Semantic Service Matchmaker with UDDI Business Registry

Public deployment of semantic service matchmaker with UDDI business registry