DSpace collection: 期刊論文

Word AdHoc Network: Using Google Core Distance to extract the most relevant information

title: Word AdHoc Network: Using Google Core Distance to extract the most relevant information abstract: In recent years, finding the most relevant documents or search results in a search engine has become an important issue. Most previous research has focused on expanding the keyword into a more meaningful sequence or using a higher concept to form the semantic search. All of those methods need predictive models, which are based on the training data or Web log of the users' browsing behaviors. In this way, they can only be used in a single knowledge domain, not only because of the complexity of the model construction but also because the keyword extraction methods are limited to certain areas. In this paper, we describe a new algorithm called "Word AdHoc Network" (WANET) and use it to extract the most important sequences of keywords to provide the most relevant search results to the user. Our method needs no pre-processing, and all the executions are real-time. Thus, we can use this system to extract any keyword sequence from various knowledge domains. Our experiments show that the extracted sequence of the documents can achieve high accuracy and can find the most relevant information in the top 1 search results, in most cases. This new system can increase users' effectiveness in finding useful information for the articles or research papers they are reading or writing. (C) 2010 Elsevier B.V. All rights reserved.

WHY PEOPLE SHARE KNOWLEDGE IN VIRTUAL COMMUNITIES

title: WHY PEOPLE SHARE KNOWLEDGE IN VIRTUAL COMMUNITIES abstract: In this paper we explored why people want to share knowledge in the virtual community setting. Taiwan provides an important model for the study of knowledge sharing in online social networks because of the large number of users of these in this country. Using a model modified from the theory of reasoned action and data collected in Taiwan, we found that self-esteem, absorptive ability, and trust are the driving forces of sharing. We did not find that the expected return had an impact on knowledge sharing. Although these results may be counterintuitive, they confirm today's open business environment, where unexpected returns usually go to those who have deep involvement.

Using Google latent semantic distance to extract the most relevant information

title: Using Google latent semantic distance to extract the most relevant information abstract: There have been many studies about how to help users enter more keywords into a search engine to find the most relevant documents or search results. Methods previously reported in the literature require a database to save the user profile, and construct a well-trained model to provide the potential "next keyword" to the user. Because the predictive models are based on the training data, they can only be used in a single knowledge domain. In this paper, we describe a new algorithm called "Google latent semantic distance" (GLSD) and use it to extract the most important sequence of keywords to provide the most relevant search results to the user. Our method utilizes on-line, real-time processing and needs no training data. Thus, it can be used in different knowledge domains. Our experiments show that the GLSD can achieve high accuracy, and we can find out the most relevant information in the top search results in most cases. We believe that this new system can increase users' effectiveness in both reading and writing articles. (c) 2010 Elsevier Ltd. All rights reserved.

User advocacy and information system project performance

title: User advocacy and information system project performance abstract: User participation in information system projects is an established practice well backed by research. However, participation is usually considered limited to helping shape the requirements of the system being developed in order to be certain that a functional system is developed. This narrow perspective overlooks the potential of having the user be an advocate for the system to grow support among all stakeholders of the project. We build and empirically test a model that links user advocacy to project performance. The model also establishes links between two potential antecedents of user advocacy, socialization that includes training and relationship development, and extrinsic motivation. All links are positively supported by data collected from 128 matched-pairs of information system users and developers. Information system project managers are encouraged to establish reward structures and training to promote a role of advocacy for the users represented ill the project team. (C) 2010 Elsevier Ltd and IPMA. All rights reserved.