Jeff J.S. Huang

Using Description Logics for the Provision of Context-Driven Content Adaptation Services

This article presents our design and development of a description logics-based planner for providing contextdriven content adaptation services. This approach dynamically transforms requested Web content into a proper format conforming to receiving contexts e.g., access condition, network connection, and receiving device. Aiming to establish a semantic foundation for content adaptation, we apply description logics to formally define context profiles and requirements. We also propose a formal Object Structure Model as the basis of content adaptation management for higher reusability and adaptability. To automate content adaptation decision, our content adaptation planner is driven by a stepwise procedure equipped with algorithms and techniques to enable rule-based context-driven content adaptation over the mobile Internet. Experimental results prove the effectiveness and efficiency of our content adaptation planner on saving transmission bandwidth, when users are using handheld devices. By reducing the size of adapted content, we moderately decrease the computational overhead caused by content adaptation.

Constructing an e-portfolio-based integrated learning environment supported by library resource

– The purpose of this study was to present a pilot electronic portfolio (e-portfolio)-integrated learning environment by integrating library resources into an e-portfolio system for its application, and to explore reader’s satisfaction of the integrated system. , – This study develops a research model by modifying the information success model to explore reader satisfaction to the understanding of the adoption of integrated system. The sample consisted of 289 graduate and undergraduate students. In total, 189 were considered useful and used for analysis. A regression analysis was then conducted to identify key causal relationships. , – The findings show that reader-perceived benefits, information quality and system quality are critical factors for the reader’s satisfaction. Overall, the model explained 84 per cent of the variance in reader satisfaction. Thus, the results show that the proposed model does satisfactorily explain the reader’s satisfaction of the integrated system. , – There is scant research available in the literature on user satisfaction of pilot e-portfolio-integrated learning environment from a reader perspective. The findings of this research provide some useful insights into a reader’s satisfaction toward adoption of the integrated system. In addition, it will be valuable for better understanding of factors affecting the determinants of reader’s satisfaction, which improve the reader’s satisfaction of the integrated system and thereby boost realization of collaborative learning environment.

A Social Bookmarking-Based People Search Service Building Communities of Practice with Collective Intelligence

The emergence of Web 2.0 has brought along the trend of community. It is also the trend that contributes to socialization of the Internet. The essence of Web 2.0 is creation and sharing which give rise to social networking communities such as Blog, Wikipedia and Facebook. Through Wikipedia, Blogs, Facebook and other kinds of social networking websites, interactive relationship and bridge of knowledge sharing have been built up successfully. This paper attempts to propose an effective way to locate people with shared interests. By using Internet resources bookmarked by the users, the similarity of interests between them can be analyzed. Based on this relationship, people could build communities. Also, through community activities, the innovation and exchange of collective intelligence are accomplished.

Applying Semantic Segment Detection to Enhance Web Page Presentation on the Mobile Internet

To facilitate wide adoption of handheld devices for mobile Internet access, it is important to enable the ”develop once and use everywhere” concept. This means that a Web page can be developed in HTML for presentation on desktop machines, and then be automatically adapted and displayed on any devices including handheld devices. In this paper, we present a mediator Web service that automatically adapts a Web page into suitable formats based on receiving devices. Our underpinning is a hierarchical semantic meta model associated with a semantic ontology. They guide in partitioning a Web page into semantically coherent segments, which refer to atomic units encapsulating semantically coherent elements in a Web page. Our experimental results demonstrate that our semantic segment detection algorithm helps in transforming Web pages into semantic-retained formats suitable to be displayed on handheld devices.

Social Network Supports in Knowledge Sharing

One of the essential goals of knowledge sharing is to enable collaboration among the participants (or collaborators) to share relevant knowledge. By collaborators, here we refer to other Web-based workers who either possess related knowledge or can help to discover and obtain the knowledge through communications and discussions. The performance of knowledge sharing is fundamentally based on how collaborators and relevant knowledge can be effectively found. In this paper, we establish a peer-to-peer-based social network to facilitate and enhance Web-based knowledge sharing by finding knowledgeable and trustworthy collaborators who are willing to share their knowledge. Results of this research demonstrate that applying such mechanism do improve the quality of collaboration in knowledge sharing.

Ubiquitous Collaborative Learning in Knowledge-Aware Virtual Communities

In this paper, we applied peer-to-peer (P2P) and instant messenger (IM) approaches to provide a seamless integration of learning resources. The learning resources contain three categories, namely learning collaborators, content, and services. This seamless learning environment aimed for knowledge sharing in collaboration supported virtual learning communities. Content found by peer-to-peer network refers to the sources of explicit knowledge; while the discussion and interaction details recorded in instant messenger network is the source of tacit knowledge. Interaction occurred in social network can be bi-parties communication, message exchange, file sharing, and knowledge sharing. Results of this study demonstrate that the applied knowledge sharing mechanism helps learning collaborators find right content and related knowledgeable collaborators who are willing to share their knowledge

Supporting CSCW and CSCL with Intelligent Social Grouping Services

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.