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From the quiet new born days of early 1990s, the World Wide Web has had an exponential growth in the last decade or so. From the original goal of sharing research resources, Web today portrays a virtual world spanning from research to entertainment and e‐commerce. This growth has necessitated substantial changes in the Web model. From the purely syntactic and relatively static framework of HTML, we have moved through DHTML and XML incorporating dynamicity and extensibility, and are now en route semantic frameworks starting with RDF. These allow Web documents to be comprehensible to machines (and not just to humans) allowing software agents to access and process such information on the Web. This leads us to semantic Web, and thus to a generation of Web applications based on Web services, adaptive content delivery, etc. Spinning the Semantic Web is based on papers presented in a seminar in Germany in 2000, and sketches the vario elements of semantic Web, the issues in realising it as well as some visions of the future. The stimulating forward to the book by Tim Berners‐Lee, recently Knighted and widely regarded as the father of the Web, portrays his vision of semantic Web. The chapters explore specific issues such as ontologies, schema languages, annotations, applications, etc. The chapters are largely unorganised and presented without any cross‐linking and most chapters use a fair amount of domain jargon. The book will be of value to those seriously interested in the field.

Despite several efforts during the last years, the web model and semantic web technologies have not yet been successfully applied to empower Ubiquitous Computing architectures in order to create knowledge‐rich environments populated by interconnected smart devices. In this paper we point out some problems of these previous initiatives and introduce SoaM (Smart Objects Awareness and Adaptation Model), an architecture for designing and seamlessly deploying web‐powered context‐aware semantic gadgets. Implementation and evaluation details of SoaM are also provided in order to identify future research challenges.

As the technology evolves, the ways in which supply chain is coordinated improve. During a careful study on the intelligent wireless web (IWW) and its services for future applications, its great potentials for the implementation of a mobile real‐time system for supply chain coordination were realized. This paper seeks to introduce a development process for the IWW. In addition, it aims to explain the concept of mobile real‐time supply chain coordination, and propose and describe a practical model for this subject matter based on the most recent technologies including the IWW and agents.

Objectives were achieved through a thorough study on the IWW, agent technology, and the ways of applying them for mobile real‐time coordination in supply processes. As a method to conduct the research, first, the paper made out what the IWW services are and how one may develop them. Since mobile real‐time coordination is an absolutely innovative concept, the study prepared a comprehensive understanding of it and then, a practical framework was sketched and explained to implement the suggested system. The approach to this topic was a realistic one and an attempt was made to include all the prerequisites and details for the intended system.

In the course of the work, it was found that the IWW and other corresponding technologies have the greatest potentials ever available for the realization of a mobile real‐time supply chain coordination system and most of the chapters illustrate the claim.

Mobile real‐time coordination and its use in supply chains is something new. The development process for IWW proposed here is totally practicable and no other implementation scenario for the application of the IWW in mobile real‐time coordination has been suggested yet.

There has been an increased interest in the use of semantic description and matching techniques, to support service discovery and to overcome the limitations in the traditional syntactic approaches. However, the existing semantic matching approaches lack certain desirable properties that must be present in an effective solution to support service discovery. The purpose of this paper is to present a solution to facilitate the effective semantic matching of resource requests and advertisements in pervasive environments.

The paper presents a semantic description and matching approach to facilitate resource discovery in pervasive environments; the approach includes a ranking mechanism that orders services according to their suitability and also considers priorities placed on individual requirements in a request.

The solution has been evaluated for its effectiveness and the results have shown that the matcher results agree reasonably well with human judgement. The solution was also evaluated for its efficiency/scalability and from the experimental results obtained, it can be observed that for most practical situations, matching time can be considered acceptable for reasonable numbers of advertisements and request sizes.

The proposed approach improves existing semantic matching solutions in several key aspects. Specifically; it presents an effective approximate matching and ranking criterion and incorporates priority consideration in the matching process. As shown in the evaluation experiments, these features significantly improve the effectiveness of semantic matching.

The main goal of the study is to investigate how same-brand slogans simultaneously in use in two emerging markets, namely Turkey and Russia, differ semantically. The study further examines in what ways the industrial competition structure impacts the semantic slogan design within these two contexts.

The study uses the method of semantic explication that is based on a 19-device taxonomy. This method is applied to 56 slogan pairs in the Turkish and Russian languages launched for the same brands/products across 6 industries.

Results indicate that same-brand slogans differ semantically between Turkey and Russia. Moreover, firms tend to conform to a shared semantic pattern within a given industry, largely depending on the industrial competition structure. While strong local competition (as in the electronics and cleaning products industries in Turkey and in the personal care and beverages industries in Russia) leads firms to use self-reference, international competition (as in the automotive, personal care and beverages industries in Turkey and in the electronics and cleaning products industries in Russia) promotes them to use hyperbole in their slogan design.

Adopting a common semantic pattern within an industry may carry the risk of restricting brand differentiation and consumers' sense of novelty. Furthermore, the inclusion of brand names in slogans may make slogans sound assertive and lead consumers to overreact to the brand.

Unlike many studies exploring different-brand slogans through a syntactic or grammatical lens, this study investigates the semantic features of same-brand slogans launched in two emerging market contexts. It adopts a B2B perspective, unlike many extant studies that often focus on a B2C one.

One of the open questions is how to ensure the conceptual adaptation in the pervasive system. To answer this question, the authors needed to propose a generic model and a mechanism to describe this system and also need generic and semantic rules to ensure the adaptation. This paper aims to propose a model to describe the pervasive information system. Second, the authors suggest an approach to divide this model so as to describe each category of contextual information separately and ensure the adaptation in the pervasive system. Finally, the authors present examples of semantic rules executed in the pervasive system.

This paper proposes an approach to ensure the conceptual adaptation in the pervasive system. To do it, the authors proposed a model to design the pervasive system and used semantic Web services. They proposed to divide the model to six descriptions related to the pervasive system categories information.

Pervasive information system, conceptual adaptation, semantic Web services and OWL-S are presented in this paper.

The originality of this paper is presented in the purpose of the pervasive information system conceptual adaption in the pervasive system. In this, later, semantic Web services were used to ensure the adaptation by the adding of contextual information in the semantic Web service description.

A huge amount of diverse data is generated in the Internet of Things (IoT) because of heterogeneous devices like sensors, actuators, gateways and many more. Due to assorted nature of devices, interoperability remains a major challenge for IoT system developers. The purpose of this study is to use mapping techniques for converting relational database (RDB) to resource directory framework (RDF) for the development of ontology. Ontology helps in achieving semantic interoperability in application areas of IoT which results in shared/common understanding of the heterogeneous data generated by the diverse devices used in health-care domain.

To overcome the issue of semantic interoperability in healthcare domain, the authors developed an ontology for patients having cardio vascular diseases. Patients located at any place around the world can be diagnosed by Heart Experts located at another place by using this approach. This mechanism deals with the mapping of heterogeneous data into the RDF format in an integrated and interoperable manner. This approach is used to integrate the diverse data of heart patients needed for diagnosis with respect to cardio vascular diseases. This approach is also applicable in other fields where IoT is mostly used.

Experimental results showed that the RDF works better than the relational database for semantic interoperability in the IoT. This concept-based approach is better than key-based approach and reduces the computation time and storage of the data.

The proposed approach helps in overcoming the demerits of relational database like standardization, expressivity, provenance and supports SPARQL. Therefore, it helps to overcome the heterogeneity, thereby enabling the semantic interoperability in IoT.

This paper discusses the possibility of automating the design of electromagnetic devices. Several paradigms currently exist to accelerate the design process, search the design space and examine the effects of tolerances on various parameters. Amongst these are semantic networks, response surfaces, interval mathematics and sensitivity analysis. This paper explores all of these and also suggests what is needed in the future in order to create a true computer based design system.

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. These ontologies are advised to assure the quality of their adoption and applicability in the real world.

Ontology assessment is an integral part of ontology construction and maintenance. It is always performed to identify inconsistencies and modeling errors by the experts during the ontology development. A smart health-care ontology (SHCO) has been designed to deal with health-care information and IoT devices. In this paper, an integrated approach has been proposed to assess the SHCO on different assessment tools such as Themis, Test-Driven Development (TDD)onto, Protégé and OOPs! Several test cases are framed to assess the ontology on these tools, in this research, Themis and TDDonto tools provide the verification for the test cases while Protégé and OOPs! provides validation of modeled knowledge in the ontology.

As of the best knowledge, no other study has been presented earlier to conduct the integrated assessment on different tools. All test cases are successfully analyzed on these tools and results are drawn and compared with other ontologies.

The developed ontology is analyzed on different verification and validation tools to assure the quality of ontologies.

In this presentation I shall be concerned with only one aspect of information science and its relation with linguistics: namely document analysis (for a broader survey of ‘Linguistics and information science’, see the recent article published under that title by C. Montgomery (1972); also M. Kay and K. Sparck Jones (1971), and the report prepared for F.I.D. by the same authors, forthcoming; M. Coyaud (1972), in French, deals with many separate facets of the same subject).