SDTIOA: Modeling the Timed Privacy Requirements of IoT Service Composition: A User Interaction Perspective for Automatic Transformation from BPEL to Timed Automata

Service-oriented architecture (SOA) is an emerging architectural style for developing and structuring business applications, especially enterprise resource planning (ERP) systems. SOA applications are composed of small, independent, and network-accessible software components, named services. The service composition is normally based on the enterprise’s business processes. However, current composition standards like BPEL have no ability to interact with users. Therefore, we propose a mechanism for including user interaction descriptions into the composition and extending the composition platform for generating user interfaces. In our case study, a federated ERP (FERP) system, this mechanism has been implemented in a prototype based on yet another workflow language (YAWL) dynamically generating Web pages for accessing the ERP system. Because every aspect including the user interfaces can be manipulated through the service composition, such systems are highly flexible yet maintainable.

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Privacy-Aware Web Service Composition and Ranking

Standards and Standardization ◽

10.4018/978-1-4666-8111-8.ch076 ◽

2015 ◽

pp. 1653-1675

Author(s):

Elisa Costante ◽

Federica Paci ◽

Nicola Zannone

Keyword(s):

Web Service ◽

Service Composition ◽

Service Providers ◽

Service Selection ◽

Future Internet ◽

Web Service Composition ◽

Privacy Requirements ◽

Privacy Preferences ◽

Privacy Breaches ◽

Selection Of

Service selection is a key issue in the Future Internet, where applications are built by composing services and content offered by different service providers. Most existing service selection schemas only focus on QoS properties of services such as throughput, latency and response time, or on their trust and reputation level. By contrast, the risk of privacy breaches arising from the selection of component services whose privacy policy is not compliant with customers' privacy preferences is largely ignored. In this paper, the authors propose a novel privacy-preserving Web service composition and selection approach which (i) makes it possible to verify the compliance between users' privacy requirements and providers' privacy policies and (ii) ranks the composite Web services with respect to the privacy level they offer. The authors illustrate their approach using an eCommerce Web service as an example of service composition. Moreover, the authors present a possible Java-based implementation of the proposed approach and present an extension to WS-Policy standard to specify privacy related assertions.

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Classification of means and methods of the Web semantic retrieval

PROBLEMS IN PROGRAMMING ◽

10.15407/pp2017.01.030 ◽

2017 ◽

pp. 030-050

Author(s):

J.V. Rogushina ◽

Keyword(s):

Search Engines ◽

Domain Knowledge ◽

Information Needs ◽

Web Search ◽

User Interaction ◽

Query Languages ◽

Semantic Search ◽

Semantic Retrieval ◽

The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

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