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Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments.

The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers.

The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality.

The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively.

It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

Sharing expertise is a growing field of interest because of the increased amount of available information, turnover of experts and globalization of companies. Sharing expertise is a difficult task; therefore, experts often lack motivation, skills and time to document their expertise. The developed expertise cycle is a framework where knowledge stewards build personal trusted relationships with experts. Knowledge stewards interview the experts, construct the knowledge and document it, making it available for knowledge seekers. The expertise cycle is tested in two cases where the expertise is distributed to different individuals and business units. In both cases the usage of the expertise cycle was expanded. As a conclusion, the usage of the expertise cycle and described best practices are recommended. Instead of providing more information we should concentrate on providing better quality of information – and the expertise cycle is a valuable method to achieve this goal.

Modern commercial organisations are facing pressures which have caused them to lose personnel. When they lose people, they also lose their knowledge. Organisations also have to cope with the internationalisation of business forcing collaboration and knowledge sharing across time and distance. Knowledge management (KM) claims to tackle these issues. This paper looks at an area where KM does not offer sufficient support, that is, the sharing of knowledge that is not easy to articulate. The focus in this paper is on communities of practice in commercial organisations. We do this by exploring knowledge sharing in Lave and Wenger’s (1991) theory of communities of practice and investigating how communities of practice may translate to a distributed international environment. The paper reports on two case studies that explore the functioning of communities of practice across international boundaries.

Existing research on collaborative innovation mechanisms from the perspective of global operation is very limited. This paper aims to address the research gap by studying the factors influencing globally distributed teams’ innovation performance, especially how effective knowledge sharing between distributed teams promotes collaborative team innovation.

This research proposes a model to investigate how collaborative knowledge sharing affects global operations [team dispersion, task orientation, information and communication technology (ICT) usage] and innovation performance based on the data collected from 167 managers in 40 local Chinese IT and offshoring firms. Using the theory of Cognitive Diversity and Innovation Diffusion and Synergy, separate hierarchical regression analysis was used to test the proposed model.

The findings of this study demonstrate that effective collaborative knowledge sharing plays a crucial role in enhancing innovation performance in a global operation. Specifically, innovation capacity can be improved by task orientation, ICT usage and team dispersion.

This research study contributes to the development of global distributed operations and innovation among distributed teams in multinational corporations.

A grid information retrieval model has benefits for sharing resources and processing mass information, but cannot handle conceptual heterogeneity without integration of semantic information. The purpose of this research is to propose a concept‐based retrieval mechanism to catch the user's query intentions in a grid environment. This research re‐ranks documents over distributed data sources and evaluates performance based on the user judgment and processing time.

This research uses the ontology lookup service to build the concept set in the ontology and captures the user's query intentions as a means of query expansion for searching. The Globus toolkit is used to implement the grid service. The modification of the collection retrieval inference (CORI) algorithm is used for re‐ranking documents over distributed data sources.

The experiments demonstrate that this proposed approach successfully describes the user's query intentions evaluated by user judgment. For processing time, building a grid information retrieval model is a suitable strategy for the ontology‐based retrieval model.

Most current semantic grid models focus on construction of the semantic grid, and do not consider re‐ranking search results from distributed data sources. The significance of evaluation from the user's viewpoint is also ignored. This research proposes a method that captures the user's query intentions and re‐ranks documents in a grid based on the CORI algorithm. This proposed ontology‐based retrieval mechanism calculates the global relevance score of all documents in a grid and displays those documents with higher relevance to users.

The rapidly emerging of Mobile Internet and the constantly increasing of wireless subscribers' number bring new opportunities and challenges to geographic information sharing and accessing. Current Web GISs, which are accessed by using connection based approaches, are very inefficient in fulfilling the requirements of GIS applications under open, dynamic, heterogeneous and distributed computing environments such as (Mobile) Internet. In this paper, we propose a new system for accessing and sharing distributed geographic information by using mobile agent and GML technologies, in which mobile agents are used to overcome the limitations of traditional distributed computing paradigms in (mobile) Internet context and GML is adopted as the common format for spatial information wrapping and mediation, while SVG is used as a web‐map publishing format that can be processed and displayed in Web browser. A prototype is implemented, which demonstrates the effectiveness and feasibility of the proposed method.

Examines some of the bibliographic advantages of a union catalogue with a central database over a distributed, or “virtual” union catalogue. Discusses the nature of these bibliographic advantages in the context of interlibrary document delivery, and also the circumstances which produce them, and make them more significant. Reports on a brief study of the extent to which two major library catalogues in Singapore have diverged following the adoption of a distributed model. This indicated that the bibliographic content of a distributed union catalogue may be significantly poorer than that of a central database, and in particular in terms of more: duplication; inconsistency; errors; and omissions. There are at least four important reasons why this may be so.

The purpose of this paper is to show how workers successfully address constraints posed by distributed work – specifically, the lack of cognitive common ground or “mutual knowledge” – through emergent practices.

The authors draw on archival and interview data collected over a ten-month period, from two matched product development teams, one working side-by-side in the USA and the other distributed between the USA and India.

The paper illustrates how distributed team members compensate for the difficulties presented by the lack of mutual knowledge by modifying their use of knowledge management systems and communication technologies to coordinate work, and using temporal and task-based differences to facilitate problem solving.

This study answers calls to examine how distributed teams actually work. By emphasizing the creation of new practices over knowledge transfer and employees’ perspectives over managers, the paper adds to current understandings of how aspects of the mutual knowledge problem can be alleviated. Since emergent practices are not dependent on shared values or identities, they can coordinate action without compromising the distinct perspectives of workers or constraining the diversity that inspires innovation. In addition, the attention to problem solving in distributed teams – particularly tacit knowledge recombination – extends a literature primarily focussed on communication and coordination processes.

In this paper, the authors shift the focus from managerial and organizational policies to the emergent practices of workers themselves, by showing how the authors successfully coordinate and innovate in a changing organizational context.

The progress of parallel computing in Information Retrieval (IR) is reviewed. In particular we stress the importance of the motivation in using parallel computing for text retrieval. We analyse parallel IR systems using a classification defined by Rasmussen and describe some parallel IR systems. We give a description of the retrieval models used in parallel information processing. We describe areas of research which we believe are needed.

This paper aims to describe typical regional document supply networks in China through detailed discussion of their framework, service mode and influence on the nationwide document supply networks.

This paper highlights various kinds of regional document supply networks in China that serve as document resource sharing cooperation networks within provinces, cities and university towns. Their framework, service mode and influence on the nationwide document supply networks are discussed, followed by suggestions for improvement.

Regional document supply networks have their natural advantages in local financial support and extensive local coverage and are capable of providing fine service to meet various user needs timely and economically. They become an important part and beneficial supplement to nationwide document supply networks.

This paper studies regional document supply networks in China which has rarely been addressed in the international library literature.