Attributed publication and selection for web service-based distributed systems

With the emergence of cloud computing, the need for flexible and detailed publication and selection of services that expose cloud resources is greatly stressed. While dynamic attributes have improved the publication and selection of resources in distributed systems, the use of dynamic attributes is yet to be tried in Web services: a key element that makes cloud computing possible. We propose a new approach to Web service publication and selection using dynamic attributes shown in Web service WSDL documents, the most commonly accessed and used elements of Web services.

CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion

In order to achieve automatic and more intelligent service composition, dynamic description logic (DDL) is proposed and utilized as one emerging logic-level solution. However, reasoning optimization and utilization in such DDL-related solutions is still an open problem. In this paper, we propose the context-aware reasoning-based service agent model (CARSA) which exploits the relationships among different service consumers and providers, together with the corresponding optimization approach to strengthen the effectiveness of Web service composition. Through the model, two reasoning optimization methods are proposed based on the substitute relationship and the dependency relationship, respectively, so irrelevant actions can be filtered out of the reasoning space before the DDL reasoning process is carried out. The case study and experimental analysis demonstrates the capability of the proposed approach.

Stereotypes and self-perceptions of physical education pre-service teachers

Stereotypes and self-perceptions are important in understanding how people develop their self-knowledge and social identity, become members of groups, and view groups and their members. While we have some understanding of the stereotypical view of the physical education teacher, we currently have little knowledge of how physical education pre-service teachers (students studying a physical education degree) are stereotyped, and also if there is any relationship between these stereotypes and how physical education pre-service teachers perceive themselves. The purpose of this study was to examine the stereotypes and self-perceptions of physical education pre-service teachers. The aims were to describe how physical education pre-service teachers stereotype and perceive themselves, examine if there are differences in the stereotypes and self-perceptions between males and females, and to explore if there were relationships between what the physical education pre-service teachers believed stereotyped them and how they perceived themselves. Participants were 250 students (n=120 males, n=130 female) studying a 4-year Bachelor of Education (Physical Education) degree at a university who completed a questionnaire which contained 10 items about how they viewed physical education pre-service teachers (stereotypes), and 26 items on how they viewed male physical education pre-service teachers and female pre-service teachers (stereotypes) and 26 items on how they view themselves (self-perceptions). Factor analysis revealed 2 stereotype factors, which were labelled as Sociable (e.g., socialise, partying, drinking, loud and outgoing) and Health and Lifestyle (e.g., fit, playing sport and not smoking). The stereotype of the male physical education pre-service teacher, comprised two factors: physical, assertive and aggressive behaviour (e.g., aggressive, dominant, self-confident, and competitive) and physical and self-presentation factors (muscular, athletic, physically fit, physically coordinated, and attractive). The stereotype of female physical education pre-service teachers comprised three factors: physical appearance and ability (e.g., physically fit, athletic, able-bodied, attractive, thin, and physically coordinated), aggressive and assertive behavioural style (e.g., intimidating, unapproachable, and aggressive), and masculine behavioural style (e.g., aggressive, masculine, feminine, muscular and dominant). The self-perception of male physical education pre-service teachers comprised three factors: perceived appearance and ability (e.g., athletic, physical fit, thin, attractive, muscular and pleased with their body), aggressive and confident behaviour (e.g., intimidating, dominant, show off and aggressive) and independence and intellect (e.g., independent, ambitious, self confident and intelligent). The self-perception of female physical education pre-service teachers comprised three factors: strong willed behaviour (e.g., ambitious, and dominant), presentation and appearance (e.g., pleased with their body, attractive, thin and self confident), and aggressive and dominant behaviour (e.g., aggressive, intimidating, masculine and show off). There were significant relationships between the male physical and self-presentation stereotype factor stereotype and perceived appearance and ability self-perception factor and between the male physical, assertive and aggressive behaviour stereotype factor and the male aggressive and confident behaviours self-perception factor. For females, the aggressive and dominant behaviour stereotype was related to both the aggressive and assertive behavioural style self-perception factor and the masculine behavioural style self-perception factor. It is suggested that future studies investigate the stereotypes and self-perceptions of students in schools during the recruitment phase of socialisation, and the possible influence of the physical education teacher education programme, faculty leaders, and significant others on the physical education pre-service teachers’ self-perceptions, stereotypes and socialisation into physical education.

A policy-based web service redundancy detection in wireless sensor networks

Wireless sensor networks (WSNs) are attractive for monitoring and gathering physical information (e.g. temperature) via lots of deployed sensors. For the applications in WSNs, Web service is one of the recommended frameworks to publish, invoke, and manage services. However, the standard Web service description language (WSDL), defines only the service input and output while ignoring the corresponding input-to-output mapping relationships. This presents a serious challenge in distinguishing services with similar input and output interface. In this paper, we address this challenge by embedding the service policy into the traditional WSDL2.0 schema to describe the input-to-output mapping relationships. The service policy is then transformed into a policy binary tree so that the similarity between different Web services can be quantitatively evaluated. Furthermore, a new service redundancy detection approach is proposed based on this similarity. Finally, the case study and experimental analysis illustrate the applicability and capability of the proposed service redundancy detection approach.

Context-aware meta search engine for distributed web service

The ubiquity of the Internet and Web has led to the emergency of several Web search engines with varying capabilities. A weakness of existing search engines is the very extensive amount of hits that they can produce. Moreover, only a small number of web users actually know how to utilize the true power of Web search engines. Therefore, there is a need for searching infrastructure to help ease and guide the searching efforts of web users toward their desired objectives. In this paper, we propose a context-based meta-search engine and discuss its implementation on top of the actual Google.com search engine. The proposed meta-search engine benefits the user the most when the user does not know what exact document he or she is looking for. Comparison of the context-based meta-search engine with both Google and Guided Google shows that the results returned by context-based meta-search engine is much more intuitive and accurate than the results returned by both Google and Guided Google.

Web 2.0 for networked learning : from collaboration to shared cognition and knowledge networking

This poster presents research-in-progress into the educational affordances of so-called Web 2.0 sites, services, with a particular emphasis on those applications that involve forms of shared human-machine cognition and that promote public knowledge networking. This research involves reviewing many hundreds of Web 2.0 tools and selecting approximately 50 for further analysis and exploration as learning applications. In doing so, the research will generate examples of unusual affordances provided by Web 2.0; it will also present a more structured categorisation of the kinds of uses and benefits of these tools. This approach is valuable because much current research and analysis of the impact of Web 2.0 on education, particularly higher education, has emphasised a relatively limited array of tools – principally blogs, wikis and social networking services – that offer educators and students opportunities for student-led collaborative work. Such opportunities involve strong emphasis on constructivist pedagogy: students’ interactions with each other, mediated via the Internet, are viewed as the positive benefit which networked learning can provide. However, Web 2.0 is far more than just collaboration, and associated shared self-expression. In particular, Web 2.0 includes many examples of services that take one form of input from a user and, rather than just sharing it with others, enable the transformation of that input into different forms, either as visualisations, maps, or other re-representations. Web 2.0 is also starting to see the development of knowledge-work engines that embody the concept of shared cognition, in which the service and the user cooperate in the production of some final knowledge output or which present to users knowledge that has already been processed more extensively than through simple searching. Web 2.0 is also closely associated with the idea that knowledge work is now networked and distributed; it involves users appropriating, creating and sharing knowledge products in a very public way, far beyond the narrow ‘audience’ of a particular course or program of study. The research presented in this poster will provide, firstly, examples of the Web 2.0 tools which emphasise these additional ways of exploiting the Internet for networked learning; secondly, the research will provide a first iteration of the overarching structure of categories and classifications which can be used to assess any proposed Web 2.0 application in terms of its affordances for learning as knowledge networking. By understanding these technologies, truly collaborative networked learning can be developed that blends with the emerging cultures of online behaviour increasingly common to contemporary student populations.

Web service to deliver filtered RSS items to a mobile application

In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering news items. Indexing is done in two steps. First, classical text categorization algorithms are used to assign a category to each news item, second, geoparsing is used to assign geolocation data to each news item. An android application is developed to access filtered news items by consuming the proposed web service. A prototype is implemented using Rapid miner 5.0 as the data mining tool and SVM as the classification algorithm. Geoparsing and geocoding web services, and Android API are used to implement location-based access to news items. Experimental results prove that the proposed approach is effective and saves a significant amount of information overload processing time.

Subtyping based on readiness and confidence: the identification of help-seeking profiles for gamblers accessing web-based counselling

BACKGROUND AND AIMS: Problem gamblers are not a homogeneous group and recent data suggest that subtyping can improve treatment outcomes. This study administered three readiness rulers and aimed to identify subtypes of gamblers accessing a national web-based counselling service based on these rulers. METHODS: Participants were 1204 gamblers (99.4% problem gamblers) who accessed a single session of web-based counselling in Australia. Measures included three readiness rulers (importance, readiness and confidence to resist an urge to gamble), demographics and the Problem Gambling Severity Index (PGSI). RESULTS: Gamblers reported high importance of change [mean = 9.2, standard deviation (SD) = 1.51] and readiness to change (mean = 8.86, SD = 1.84), but lower confidence to resist an urge to gamble (mean = 3.93, SD = 2.44) compared with importance and readiness. The statistical fit indices of a latent class analysis identified a four-class model. Subtype 1 was characterized by a very high readiness to change and very low confidence to resist an urge to gamble (n = 662, 55.0%) and subtype 2 reported high readiness and low confidence (n = 358, 29.7%). Subtype 3 reported moderate ratings on all three rulers (n = 139, 11.6%) and subtype 4 reported high importance of change but low readiness and confidence (n = 45, 3.7%). A multinomial logistic regression indicated that subtypes differed by gender (P < 0.001), age (P = 0.01), gambling activity (P < 0.05), preferred mode of gambling (P < 0.001) and PGSI score (P < 0.001). CONCLUSIONS: Problem gamblers in Australia who seek web-based counselling comprise four distinct subgroups based on self-reported levels of readiness to change, confidence to resist the urge to gamble and importance of change.

Perceptions of crisis care in populations who self-referred to a telephone-based mental health triage service

Although psychiatric crises are very common in people with mental illness, little is known about consumer perceptions of mental health crisis care. Given the current emphasis on recovery-oriented approaches, shared decision-making, and partnering with consumers in planning and delivering care, this knowledge gap is significant. Since the late 1990s, access to Australian mental health services has been facilitated by 24/7 telephone-based mental health triage systems, which provide initial psychiatric assessment, referral, support, and advice. A significant proportion of consumers access telephone-based mental health triage services in a state of crisis, but to date, there has been no published studies that specifically report on consumer perceptions on the quality and effectiveness of the care provided by these services. This article reports on a study that investigated consumer perceptions of accessing telephone-based mental health triage services. Seventy-five mental health consumers participated in a telephone interview about their triage service use experience. An eight-item survey designed to measure the responsiveness of mental health services was used for data collection. The findings reported here focus on the qualitative data produced in the study. Consumer participants shared a range of perspectives on telephone-based mental health triage that provide invaluable insights into the needs, expectations, and service use experiences of consumers seeking assistance with a mental health problem. Consumer perceptions of crisis care have important implications for practice. Approaches and interventions identified as important to quality care can be used to inform educational and practice initiatives that promote person-centred, collaborative crisis care.

A smart web service based on the context of things

Combining the Semantic Web and the Ubiquitous Web, Web 3.0 is for things. The Semantic Web enables human knowledge to be machine-readable and the Ubiquitous Web allows Web services to serve any thing, forming a bridge between the virtual world and the real world. By using context, Web services can become smarter-that is, aware of the target things' or applications' physical environments, or situations and respond proactively and intelligently. Existing methods for implementing context-aware Web services on Web 2.0 mainly enumerate different implementations corresponding to different attribute values of the context, in order to improve the Quality of Services (QoS). However, things in the physical world are extremely diverse, which poses new problems for Web services: it is difficult to unify the context of things and to implement a flexible smart Web service for things. This article proposes a novel smart Web service based on the context of things, which is implemented using a REpresentational State Transfer for Things (Thing-REST) style, to tackle the two problems. In a smart Web service, the user's description (semantic context) and sensor reports (sensing context) are two channels for acquiring the context of things which are then employed by ontology services to make the context of things machine-readable. With guidance of domain knowledge services, event detection services can analyze things' needs particularly, well through the context of things. We then propose a Thing-REST style to manage the context of things and user context, and to mashup Web services through three structures (i.e., chain, select, and merge) to implement smart Web services. A smart plant watering-service application demonstrates the effectiveness of our method. © 2012 ACM.