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)
1Yip, J.C. ; Lee, K.J. ; Lee, J.H.: Design partnerships for participatory librarianship : a conceptual model for understanding librarians co designing with digital youth.
In: Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1242-1256.
Abstract: Libraries play a central role for youth and digital learning. As libraries transition to learning spaces, youth librarians can engage in aspects of democratic design that empowers youth. Participatory design (PD) is a user-centered design method that can support librarians in the democratic development of digital learning spaces. However, while PD has been used in libraries, we have little knowledge of how youth librarians can act as codesign partners. We need a conceptual model to understand the role of youth librarians in codesign, and how their experiences are integrated into youth design partnerships. To generate this model, we examine a case study of the evolutionary process of a single librarian and the development of a library system's learning activities through PD. Using the idea of equal design partnerships, we analyzed video recordings and stakeholder interviews on how children (ages 7-11) worked together with a librarian to develop new digital learning activities. Our discussion focuses on the development of a participatory librarian design conceptual model that situates librarians as design partners with youth. The article concludes with recommendations for integrating PD methods into libraries to create digital learning spaces and suggestions for moving forward with this design perspective.
2Lee, K. ; Kim, S.Y. ; Kim, E.H.-J. ; Song, M.: Comparative evaluation of bibliometric content networks by tomographic content analysis : an application to Parkinson's disease.
In: Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1295-1307.
Abstract: To understand the current state of a discipline and to discover new knowledge of a certain theme, one builds bibliometric content networks based on the present knowledge entities. However, such networks can vary according to the collection of data sets relevant to the theme by querying knowledge entities. In this study we classify three different bibliometric content networks. The primary bibliometric network is based on knowledge entities relevant to a keyword of the theme, the secondary network is based on entities associated with the lower concepts of the keyword, and the tertiary network is based on entities influenced by the theme. To explore the content and properties of these networks, we propose a tomographic content analysis that takes a slice-and-dice approach to analyzing the networks. Our findings indicate that the primary network is best suited to understanding the current knowledge on a certain topic, whereas the secondary network is good at discovering new knowledge across fields associated with the topic, and the tertiary network is appropriate for outlining the current knowledge of the topic and relevant studies.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23752/full.
3Song, M. ; Kim, S.Y. ; Lee, K.: Ensemble analysis of topical journal ranking in bioinformatics.
In: Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1564-1583.
Abstract: Journal rankings, frequently determined by the journal impact factor or similar indices, are quantitative measures for evaluating a journal's performance in its discipline, which is presently a major research thrust in the bibliometrics field. Recently, text mining was adopted to augment journal ranking-based evaluation with the content analysis of a discipline taking a time-variant factor into consideration. However, previous studies focused mainly on a silo analysis of a discipline using either citation-or content-oriented approaches, and no attempt was made to analyze topical journal ranking and its change over time in a seamless and integrated manner. To address this issue, we propose a journal-time-topic model, an extension of Dirichlet multinomial regression, which we applied to the field of bioinformatics to understand journal contribution to topics in a field and the shift of topic trends. The journal-time-topic model allows us to identify which journals are the major leaders in what topics and the manner in which their topical focus. It also helps reveal an interesting distinct pattern in the journal impact factor of high- and low-ranked journals. The study results shed a new light for understanding topic specific journal rankings and shifts in journals' concentration on a subject.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23840/full.
4Chen, W. ; Lee, K.-H. ; Straubhaar, J.D. ; Spence, J.: Getting a second opinion : social capital, digital inequalities, and health information repertoires.
In: Journal of the Association for Information Science and Technology. 65(2014) no.12, S.2552-2563.
Abstract: This research adopts a repertoire approach to examine the concept of a health information repertoire defined as a set of sources through which people get health information. Drawing on a random sample survey in Austin, TX, it borrows the concepts of cultural omnivores and univores to investigate how health information repertoire are related to social capital and digital inequalities. Results demonstrate that both the size and the composition of health information repertoires vary by social and digital connectivity. People with greater social capital have a larger repertoire and are less likely to be univores dependent on the Internet or interpersonal contacts. People with Internet access have a larger repertoire and are less likely to be univores dependent on television. More skilled Internet users are less likely to be univores dependent on interpersonal contacts, whereas frequent Internet users are more likely to be omnivores with a four-channel repertoire including the Internet, interpersonal contacts, television, and newspaper. The positive relationship between social capital and repertoire size is stronger among less-skilled Internet users. There are significant variations in health information repertoires in terms of media access and sociodemographic characteristics. Scholarly and practical implications are discussed.
5Lee, K.C. ; Lee, N. ; Li, H.: ¬A particle swarm optimization-driven cognitive map approach to analyzing information systems project risk.
In: Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1208-1221.
Abstract: Project risks encompass both internal and external factors that are interrelated, influencing others in a causal way. It is very important to identify those factors and their causal relationships to reduce the project risk. In the past, most IT companies evaluate project risk by roughly measuring the related factors, but ignoring the important fact that there are complicated causal relationships among them. There is a strong need to develop more effective mechanisms to systematically judge all factors related to project risk and identify the causal relationships among those factors. To accomplish this research objective, our study adopts a cognitive map (CM)-based mechanism called the MACOM (Multi-Agents COgnitive Map), where CM is represented by a set of multi-agents, each embedded with basic intelligence to determine its causal relationships with other agents. CM has proven especially useful in solving unstructured problems with many variables and causal relationships; however, simply applying CM to project risk management is not enough because most causal relationships are hard to identify and measure exactly. To overcome this problem, we have borrowed a multi-agent metaphor in which CM is represented by a set of multi-agents, and project risk is explained through the interaction of the multi-agents. Such an approach presents a new computational capability for resolving complicated decision problems. Using the MACOM framework, we have proved that the task of resolving the IS project risk management could be systematically and intelligently solved, and in this way, IS project managers can be given robust decision support.
6Lim, C.S. ; Lee, K.J. ; Kim, G.C.: Multiple sets of features for automatic genre classification of web documents.
In: Information processing and management. 41(2005) no.5, S.1263-1276.
Abstract: With the increase of information on the Web, it is difficult to find desired information quickly out of the documents retrieved by a search engine. One way to solve this problem is to classify web documents according to various criteria. Most document classification has been focused on a subject or a topic of a document. A genre or a style is another view of a document different from a subject or a topic. The genre is also a criterion to classify documents. In this paper, we suggest multiple sets of features to classify genres of web documents. The basic set of features, which have been proposed in the previous studies, is acquired from the textual properties of documents, such as the number of sentences, the number of a certain word, etc. However, web documents are different from textual documents in that they contain URL and HTML tags within the pages. We introduce new sets of features specific to web documents, which are extracted from URL and HTML tags. The present work is an attempt to evaluate the performance of the proposed sets of features, and to discuss their characteristics. Finally, we conclude which is an appropriate set of features in automatic genre classification of web documents.
Themenfeld: Automatisches Klassifizieren
7Lee, K.H. ; Ng, M.K.M. ; Lu, Q.: Text segmentation for Chinese spell checking.
In: Journal of the American Society for Information Science. 50(1999) no.9, S.751-759.
Abstract: Chinese spell checking is different from its counterparts for Western languages because Chinese words in texts are not separated by spaces. Chinese spell checking in this article refers to how to identify the misuse of characters in text composition. In other words, it is error correction at the word level rather than at the character level. Before Chinese sentences are spell checked, the text is segmented into semantic units. Error detection can then be carried out on the segmented text based on thesaurus and grammar rules. Segmentation is not a trivial process due to ambiguities in the Chinese language and errors in texts. Because it is not practical to define all Chinese words in a dictionary, words not predefined must also be dealt with. The number of word combinations increases exponentially with the length of the sentence. In this article, a Block-of-Combinations (BOC) segmentation method based on frequency of word usage is proposed to reduce the word combinations from exponential growth to linear growth. From experiments carried out on Hong Kong newspapers, BOC can correctly solve 10% more ambiguities than the Maximum Match segmentation method. To make the segmentation more suitable for spell checking, user interaction is also suggested