Search results

In e-government domain, an efficient semantic interoperability of services is a big challenge. In this context, semantic technologies play a fundamental role in numerous e-government programs. Indeed, these technologies enable enriching the public service description provided by different public administrations with additional semantic information, which allows automatic services processing and information exchange between involved members in comprehensive and interpretable manner, thus facilitating service integration and cooperation. The most frequently used technologies in this area are semantic web services (SWS) technology and ontology. Thus, for modelling efficiently public services, the authors have exploring, studying and analyzing some of e-government researches and projects that applied semantic technologies.

In this paper, the authors address how semantic technologies transform the e-government domain through exploring and studying the use of SWS and ontology in numerous researches and projects applying these technologies in this area. Then, the authors have compared them through a set of criteria defined according to e-government requirements such as the SWS modelling approach for describing semantically public services, ontologies for representing governmental specific features (e.g. regulation and organizational structures) and developed portal for supporting user ' s perspectives. Based on this study, the authors have identified the appropriate standards, frameworks, and models for developing the framework.

The authors have developed a framework for public services which enhances existing approaches with additional aspects. Thus, the approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of services. This semantic is developed in form of a Sit/Ctx ontology developed based on CSs model represented through conceptual graphs theory. The authors have used this model besides OWL-S, improving thus the level of automation of discovery and composition process of public services, which become more efficient with taken into consideration their interrelations and situations.

The approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of public services, providing thus the end-users (people and enterprises) a better orientation in discovery process.

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.

This paper aims to explore the feasible mining and proper selection of QoS‐aware services for a P2P‐based business process enactment framework, and enhance the relevant workflow prototype. Design/methodology/approach – Through observing and analysing unpredictable dynamic changes that commonly exist in e‐service workflow, a set of QoS specifications and monitoring mechanisms in a P2P workflow framework is proposed. These specifications are an evolving extension of services' description with semantic web facilitators for P2P‐based e‐services.

It has been demonstrated that the QoS‐OWL approach can be effectively used to describe and exploit e‐services, particularly in a decentralised environment. QoS‐OWL is also able to provide the deliberation of geographic information for e‐services, and facilitates the peers' effective cooperation and automates business processes. It is recommended that the approach be adopted in the dynamic online information system environment to increase efficiency and reduce costs in running e‐services.

The QoS attributes discussed in this paper are relatively typical for benchmarking purposes, so the extension of the QoS metrics specifications and related protocols need to be discussed in future work.

The authors propose an approach to dynamically selecting appropriate service‐oriented peers in a P2P network, where the composition of e‐services in a business process can be enhanced significantly. The approach is based on ontology and QoS perspectives, and the descriptions of services have rich semantic features in an attempt to make the service selection more intelligent and reliable. Therefore the proposal offers e‐service providers innovative initiatives to re‐engineer their business services.

The northern spotted owl (Strix occidentalis caurina) was declared a threatened species by the US Fish and Wildlife Service on June 22, 1990. Its listing as a threatened species makes it illegal not only to harm the owls directly, but also to destroy their habitat. Uncertainty associated with the federal government's handling of the owl habitat area increased with the announcement on June 27 that a plan for protection would be delayed. Subsequently, the Bush administration responded with a plan aimed at “balancing” environmental and employment considerations (Hooker and Rockwell, 1990). Reflecting the 1994 Clinton forest plan for the Pacific Northwest, total harvests of softwoods in the Douglas‐fir region of Western Washington and Western Oregon were recently projected to decline from 3.14 billion cubic feet in 1986 to 1.75 billion cubic feet in 2010 (Haynes, Adams, and Mills, 1995). Since the stock market responds very rapidly to new information, its reaction to the owl's listing can be investigated in an attempt to uncover Wall Street's perception of the likely future effect of the decision on the financial attractiveness of growing and marketing timber. Results have implications for the forest products industry and should be of interest to policymakers, forest industry planners, and security analysts.

The purpose of this paper is to introduce a new method of ontology‐based digital product data exchange. The digital product data are enriched with virtual prototype (VP) model information and the designed exchange process is discussed. Additionally, an algorithm enabling the ontology‐based data exchange method among missile guide systems is proposed and analyzed.

Semantic sevice‐oriented architecture (SSOA) is an innovative integration architecture for digital product information integration and process integration. In digital product ontology layer of SSOA, a new method of ontology‐based product data exchange is proposed. Compared with traditional information exchange, the method adds the VP's information to general digital products' information. The VP's information is described by building VP static structure ontology and dynamic behavior ontology. The exchange process of the novel method is discussed in detail. Finally, an example illustrating the data exchange among missile guide systems is given and the merits of the proposed method is analyzed.

Simulation information, especially VP information, is not always well defined and taken into account by product data exchange systems such as product data management or product lifecycle management. A formal description of VP information is often required in efficient and effective product data exchange. The goal is to define VP structure and behavior ontologies to enable ontology‐based digital product data exchange.

Using VP information including structure information and behavior information, the paper provides a new method of digital product data exchange.

This paper aims to compete and detect suspicious transactions that can lead to detecting money laundering cases.

This paper presents a plan-based framework for anti-money laundering systems (PBAMLS). Such a framework is novel and consists of two phases, in addition to several supporting modules. The first phase, the monitoring phase, utilizes an automata approach as a formalism to detect probable money laundering. The detection process is based on a money laundering deterministic finite automaton that has been obtained from the corresponding regular expressions which specify different money laundering processes. The second phase is STRIPS-based planning phase that aims at strengthening the belief in the probable problems discovered in the first (monitoring) phase. In addition, PBAMLS contains several supporting modules for data collection and mediation, link analysis and risk scoring. To assess the applicability of PBAMLS, it has been tested using different cases studies.

This framework provides a clear shift of anti-money laundering systems (AML) from depending heuristic and human expertise to making use of a rigorous formalism to accomplish concrete decisions. It minimizes the possibilities of false positive alarms and increases the certainty in decision-making.

This framework enhances the detection of money laundering cases. It also minimizes the number of false-positive alarms that waste the investigators’ efforts and time; it decreases the efforts presented by the investigators.

This work proposes PBAMLS as a novel plan-based framework for AML systems.

Automated composition of semantic web services has become one of the recent critical issues in today's web environment. Despite the importance of artificial intelligence (AI)‐planning techniques for web service composition, previous works in that area do not address security issues, which is the focus of this paper. The purpose of this paper is to propose an approach to achieve security conscious composition of semantic web services.

The proposed approach called security conscious composition of semantic web services (SCAIMO) is based on the prior work, i.e. AIMO. The AIMO is an effective approach for web service discovery and composition based on AI‐planning, web service modeling ontology (WSMO), and description logic (DL). In this paper, definitions of secure matchmaking and web service composition are formalized based on DLs. Moreover, security capabilities and constraint types in the proposed SCAIMO framework are presented.

This paper proposes a secure task matchmaker which is responsible for matching security conscious tasks with operators and methods based on WSMO and DL to support the proposed SCAIMO framework. In addition, the paper implements and evaluates the SCAIMO using a test case and the result shows that the approach can provide an applicable solution.

The key contribution of this paper encompasses the new framework to support security capabilities and constraints during composition of semantic web services as well as the new secure task matchmaker.

This paper reviews existing business process (BP) modeling languages that are widely used in the industry as well as recent research work on modeling and analysis of BPs in the service-oriented environment and Internetware-based software paradigm. BPs in such environment are different from traditional BPs due to loose coupling of partner services, dynamic and on-the-fly selection of partners and run-time process adaptability. The unique characteristics of these BPs require formal modeling of the requirements and constraints in each phase of their life cycle, including design phase, implementation and deployment phase and execution phase.

The paper first provides a categorization of typical user requirements in each phase of the BP life cycle. Then a detailed comparison of the selected languages with respect to their requirement modeling and analysis capabilities in each of the identified categories is provided. The paper also discusses new requirements engineering research challenges arising from future software needs and emerging trends in software engineering in the context of Web-services-based BPs and Internetware.

There is a need to have a framework that provides support for user requirements modeling and analysis for all the phases of BP life cycle in an integrated manner. Such a framework would be useful not only in resolving the inconsistencies between requirements across phases but also in addressing the issues related to BP evolution due to changes in user requirements over time. Moreover, with the Internet of things (IoT) adoption in BPM, there is a need to have an integrated environment that provides support for capturing the resilience requirements of enterprise BPs as well as the mobility constraints of the underlying IoT devices.

This paper reviews existing BP modeling languages and frameworks and discusses the new requirements engineering research challenges arising from future software needs and the emerging trends in BP management in the service-oriented environment and Internetware-based software paradigm.

The purpose of this paper was to design ontology for describing semantic context‐aware quality services, and to present a new web management tool that provides a great flexibility and enables automatic semantic adaptation and customization of mobile client services.

The tool is developed using ontology‐based approach. This ontology captures a shared conceptual schema common in the tourism domain and maintains semantic quality information in heterogeneous service providers for service model. The results of the tool will be compared to prior works from other quality and distributed based service selection methods for mobile‐based application.

The tool support is based in the ontology Context‐aware Quality Semantic Web Service called (CxQWS). At the first step, services are defined as a set of semantic metadata, reflecting service requirements and QoS parameters. At the second step, services with a semantic contextual metadata are elaborated. Such a procedure ensures that the selection decisions should be based on the semantic quality representation of the created services. The SELETOR tool results suggest that the level of intelligent method use continue to be high flexibility in World Tourism organisations.

The tourism services in a mobile environment have a critical role in creating tourist satisfaction. They are neither a uniform group, nor able to give consistently high service quality. Indeed they have significantly different platforms and a variety of heterogeneous service providers which make the management of service qualities complex.

A significant proposition is to integrate new tourism quality attributes of mobile‐based application, to provide a dynamic adaptation of selection services based on context metadata parameters (user, environment, device, and service provider context) and the management of the heterogeneity of service needs, of mobile devices capacities and their various communication protocols (GPRS, WIFI, Bluetooth, etc.) as well as the media variety (sound, video, text and image), possibly reflecting the decreased time responses and the increased visibility of standard services management methods.

The paper proposes SELECTOR, a dynamic service selection tool based on CxQWS ontology, defined as set of semantic metadata, which context and QoS parameters. The tool is based on semantic services and offer architecture, with three layers (semantic query, management and web services). The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express high level explicit constraints, while they may be useful to guide the selection and adaptation process. This tool provides low adaptation effort, e.g. takes into account all the heterogeneous services as its various communication protocols (GSM, 3G, Bluetooth, etc.) as consequences of self‐selection for dynamic context evolution guided by the adaptation policies.