Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)
1Zhang, X. ; Fang, Y. ; He, W. ; Zhang, Y. ; Liu, X.: Epistemic motivation, task reflexivity, and knowledge contribution behavior on team wikis : a cross-level moderation model.
In: Journal of the Association for Information Science and Technology. 70(2019) no.5, S.448-461.
Abstract: A cross-level model based on the information processing perspective and trait activation theory was developed and tested in order to investigate the effects of individual-level epistemic motivation and team-level task reflexivity on three different individual contribution behaviors (i.e., adding, deleting, and revising) in the process of knowledge creation on team wikis. Using the Hierarchical Linear Modeling software package and the 2-wave data from 166 individuals in 51 wiki-based teams, we found cross-level interaction effects between individual epistemic motivation and team task reflexivity on different knowledge contribution behaviors on wikis. Epistemic motivation exerted a positive effect on adding, which was strengthened by team task reflexivity. The effect of epistemic motivation on deleting was positive only when task reflexivity was high. In addition, epistemic motivation was strongly positively related to revising, regardless of the level of task reflexivity involved.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24129.
2Qu, R. ; Fang, Y. ; Bai, W. ; Jiang, Y.: Computing semantic similarity based on novel models of semantic representation using Wikipedia.
In: Information processing and management. 54(2018) no.6, S.1002-1021.
Abstract: Computing Semantic Similarity (SS) between concepts is one of the most critical issues in many domains such as Natural Language Processing and Artificial Intelligence. Over the years, several SS measurement methods have been proposed by exploiting different knowledge resources. Wikipedia provides a large domain-independent encyclopedic repository and a semantic network for computing SS between concepts. Traditional feature-based measures rely on linear combinations of different properties with two main limitations, the insufficient information and the loss of semantic information. In this paper, we propose several hybrid SS measurement approaches by using the Information Content (IC) and features of concepts, which avoid the limitations introduced above. Considering integrating discrete properties into one component, we present two models of semantic representation, called CORM and CARM. Then, we compute SS based on these models and take the IC of categories as a supplement of SS measurement. The evaluation, based on several widely used benchmarks and a benchmark developed by ourselves, sustains the intuitions with respect to human judgments. In summary, our approaches are more efficient in determining SS between concepts and have a better human correlation than previous methods such as Word2Vec and NASARI.
Inhalt: Vgl.: https://doi.org/10.1016/j.ipm.2018.07.002.
Themenfeld: Semantisches Umfeld in Indexierung u. Retrieval
3Lou, J. ; Fang, Y. ; Lim, K.H. ; Peng, J.Z.: Contributing high quantity and quality knowledge to online Q&A communities.
In: Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.356-371.
Abstract: This study investigates the motivational factors affecting the quantity and quality of voluntary knowledge contribution in online Q&A communities. Although previous studies focus on knowledge contribution quantity, this study regards quantity and quality as two important, yet distinct, aspects of knowledge contribution. Drawing on self-determination theory, this study proposes that five motivational factors, categorized along the extrinsic-intrinsic spectrum of motivation, have differential effects on knowledge contribution quantity versus quality in the context of online Q&A communities. An online survey with 367 participants was conducted in a leading online Q&A community to test the research model. Results show that rewards in the reputation system, learning, knowledge self-efficacy, and enjoy helping stand out as important motivations. Furthermore, rewards in the reputation system, as a manifestation of the external regulation, is more effective in facilitating the knowledge contribution quantity than quality. Knowledge self-efficacy, as a manifestation of intrinsic motivation, is more strongly related to knowledge contribution quality, whereas the other intrinsic motivation, enjoy helping, is more strongly associated with knowledge contribution quantity. Both theoretical and practical implications are discussed.
4He, W. ; Fang, Y. ; Wei, K.-K.: ¬The role of trust in promoting organizational knowledge seeking using knowledge management systems : an empirical investigation.
In: Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.526-537.
Abstract: Knowledge Management Systems (KMS) have become increasingly popular as a knowledge-sharing tool in contemporary corporations. Enticing employees to seek knowledge from KMS remains an important concern for researchers and practitioners. Trust has been widely recognized in many studies as an important enabling factor for seeking knowledge; however, the role of trust in promoting knowledge-seeking behavior using KMS has not been adequately addressed. Drawing upon the extant literature on trust and information technology adoption, this article examines the relationships between the knowledge seekers' trust in the community of KMS users, their perceptions toward the system (perceived usefulness and perceived seeking efforts), and the intention to continually use the KMS. The results reveal that trust in the community of KMS users does not directly affect the employees' knowledge-seeking continuance intention; rather, it happens indirectly through a mediated effect of perceived usefulness of the KMS. Furthermore, we find that trust seems to be a stronger determinant of perceived usefulness than of perceived seeking efforts. Our study thus demonstrates the indirect, but still crucial, role of trust in knowledge-seeking behavior in the context of corporate KMS usage. Other findings and the implications of this study for both researchers and practitioners are correspondingly discussed.
5Colazo, J. ; Fang, Y.: Impact of license choice on Open Source Software development activity.
In: Journal of the American Society for Information Science and Technology. 60(2009) no.5, S.997-1011.
Abstract: The Open Source Software (OSS) development model has emerged as an important competing paradigm to proprietary alternatives; however, insufficient research exists to understand the influence of some OSS project characteristics on the level of activity of the development process. A basic such characteristic is the selection of the project's software license. Drawing upon social movement theory, our study examined the relationship between OSS licenses and project activity. Some OSS licenses include a copyleft clause, which requires that if derivative products are to be released, it must be done under the license the original product had. We hypothesize that copylefted licenses, as opposed to noncopylefted licenses, are associated with higher developer membership and coding activity, faster development speed, and longer developer permanence in the project. To test the hypotheses, we used archival data sources of working OSS projects spanning several years of development time. We discuss practical and theoretical implications of the results as well as future research ideas.
6Schwartz, F. ; Fang, Y.C.: Citation data analysis on hydrogeology.
In: Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.518-525.
Abstract: This article explores the status of research in hydrogeology using data mining techniques. First we try to explain what citation analysis is and review some of the previous work on citation analysis. The main idea in this article is to address some common issues about citation numbers and the use of these data. To validate the use of citation numbers, we compare the citation patterns for Water Resources Research papers in the 1980s with those in the 1990s. The citation growths for highly cited authors from the 1980s are used to examine whether it is possible to predict the citation patterns for highly-cited authors in the 1990s. If the citation data prove to be steady and stable, these numbers then can be used to explore the evolution of science in hydrogeology. The famous quotation, "If you are not the lead dog, the scenery never changes," attributed to Lee Iacocca, points to the importance of an entrepreneurial spirit in all forms of endeavor. In the case of hydrogeological research, impact analysis makes it clear how important it is to be a pioneer. Statistical correlation coefficients are used to retrieve papers among a collection of 2,847 papers before and after 1991 sharing the same topics with 273 papers in 1991 in Water Resources Research. The numbers of papers before and after 1991 are then plotted against various levels of citations for papers in 1991 to compare the distributions of paper population before and after that year. The similarity metrics based on word counts can ensure that the "before" papers are like ancestors and "after" papers are descendants in the same type of research. This exercise gives us an idea of how many papers are populated before and after 1991 (1991 is chosen based on balanced numbers of papers before and after that year). In addition, the impact of papers is measured in terms of citation presented as "percentile," a relative measure based on rankings in one year, in order to minimize the effect of time.
Themenfeld: Data Mining ; Citation indexing
7Asonuma, A. ; Fang, Y. ; Rousseau, R.: Reflections on the age distribution of Japanese scientists.
In: Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.342-346.
Abstract: The age distribution of a country's scientists is an important element in the study of its research capacity. In this article we investigate the age distribution of Japanese scientists in order to find out whether major events such as World War II had an appreciable effect on its features. Data have been obtained from population censuses taken in Japan from 1970 to 1995. A comparison with the situation in China and the United States has been made. We find that the group of scientific researchers outside academia is dominated by the young: those younger than age 35. The personnel group in higher education, on the other hand, is dominated by the baby boomers: those who were born after World War II. Contrary to the Chinese situation we could not find any influence of major nondemographic events. The only influence we found was the increase in enrollment of university students after World War II caused by the reform of the Japanese university system. Female participation in the scientific and university systems in Japan, though still low, is increasing.