Literatur zur Informationserschließung

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)

Suchergebnisse

• 1
  Yang, B. ; Rousseau, R. ; Wang, X. ; Huang, S.: How important is scientific software in bioinformatics research? : a comparative study between international and Chinese research communities.
  In: Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1122-1133.
  
  Abstract: Software programs are among the most important tools in data-driven research. The popularity of well-known packages and corresponding large numbers of citations received bear testimony of the contribution of scientific software to academic research. Yet software is not generally recognized as an academic outcome. In this study, a usage-based model is proposed with varied indicators including citations, mentions, and downloads to measure the importance of scientific software. We performed an investigation on a sample of international bioinformatics research articles, and on a sample from the Chinese community. Our analysis shows that scientists in the field of bioinformatics rely heavily on scientific software: the major differences between the international community and the Chinese example being how scientific packages are mentioned in publications and the time gap between the introduction of a package and its use. Biologists publishing in international journals tend to apply the latest tools earlier; Chinese scientists publishing in Chinese tend to follow later. Further, journals with higher impact factors tend to publish articles applying the latest tools earlier.
  
  Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24031.
  
  
  
• 2
  Yan, S. ; Rousseau, R. ; Huang, S.: Contributions of chinese authors in PLOS ONE.
  In: Journal of the Association for Information Science and Technology. 67(2016) no.3, S.543-549.
  
  Abstract: Beginning with a short review of Public Library of Science (PLOS) journals, we focus on PLOS ONE and more specifically the contributions of Chinese authors to this journal. It is shown that their contribution is growing exponentially. In 2013 almost one fifth of all publications in this journal had at least one Chinese author. The average number of citations per publication is approximately the same for articles with a Chinese author and for articles without any Chinese coauthor. Using the odds-ratio, we could not find arguments that Chinese authors in PLOS ONE excessively cite other Chinese contributions.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23400/abstract.
  
  Themenfeld: Informetrie
  Objekt: PLOS ONE
  
  
• 3
  Huang, S.-C. ; Bias, R.G. ; Schnyer, D.: How are icons processed by the brain? : Neuroimaging measures of four types of visual stimuli used in information systems.
  In: Journal of the Association for Information Science and Technology. 66(2015) no.4, S.702-720.
  
  Abstract: We sought to understand how users interpret meanings of symbols commonly used in information systems, especially how icons are processed by the brain. We investigated Chinese and English speakers' processing of 4 types of visual stimuli: icons, pictures, Chinese characters, and English words. The goal was to examine, via functional magnetic resonance imaging (fMRI) data, the hypothesis that people cognitively process icons as logographic words and to provide neurological evidence related to human-computer interaction (HCI), which has been rare in traditional information system studies. According to the neuroimaging data of 19 participants, we conclude that icons are not cognitively processed as logographical words like Chinese characters, although they both stimulate the semantic system in the brain that is needed for language processing. Instead, more similar to images and pictures, icons are not as efficient as words in conveying meanings, and brains (people) make more effort to process icons than words. We use this study to demonstrate that it is practicable to test information system constructs such as elements of graphical user interfaces (GUIs) with neuroscience data and that, with such data, we can better understand individual or group differences related to system usage and user-computer interactions.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23210/abstract.
  
  Themenfeld: Visualisierung
  
  
• 4
  Huang, S.-L. ; Lin, S.-C. ; Chan, Y.-C.: Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing.
  In: Information processing and management. 48(2012) no.4, S.599-617.
  
  Abstract: Social tagging systems enable users to assign arbitrary tags to various digital resources. However, they face vague-meaning problems when users retrieve or present resources with the keyword-based tags. In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms. A field experiment was conducted to evaluate the effectiveness and user acceptance of these mechanisms in a knowledge sharing context. The results show that the semantic social tagging system is more effective than a keyword-based system. The visualized knowledge map helps users capture an overview of the knowledge domain, reduce cognitive effort for the search, and obtain more enjoyment. Traditional keyword tagging with a keyword search still has the advantage of ease of use and the users had higher intention to use it. This study also proposes directions for future development of semantic social tagging systems.
  
  Inhalt: Vgl.: doi:10.1016/j.ipm.2011.07.004.
  
  Themenfeld: Social tagging
  
  
• 5
  Bias, R.G. ; Larson, K. ; Huang, S.-C. ; Aumer-Ryan, P.R. ; Montesclaros, C.: ¬An exploratory study of visual and psychological correlates of preference for onscreen subpixel-rendered text.
  In: Journal of the American Society for Information Science and Technology. 61(2010) no.4, S.745-757.
  
  Abstract: Font-rendering technologies play a critical role in presenting clear and aesthetic fonts to enhance the experience of reading from computer screens. This article presents three studies investigating visual and psychological correlates of people's preferences toward different onscreen text enhancements such as ClearType developed by Microsoft. Findings suggested that (a) people's acuity and hue sensitivity were two major factors that affect their preferences to ClearType's color filtering of subpixels on fonts, and (b) specific personality traits such as disagreeableness also could correlate with people's impressions of different onscreen text enhancements that were used. These empirical data would inform digital typographers and human-computer interaction scientists who aim to develop better systems of onscreen reading.
  
  Themenfeld: Elektronisches Publizieren
  
  
• 6
  Huang, S.-H. ; Ke, H.-R. ; Yang, W.-P.: Enhancing semantic digital library query using a content and service inference model (CSIM).
  In: Information processing and management. 41(2005) no.4, S.891-908.
  
  Abstract: Although digital library (DL) information is becoming increasingly annotated using metadata, semantic query with respect to the structure of metadata has seldom been addressed. The correlation of the two important aspects of DL--content and services--can generate additional semantic relationships. This study proposes a content and service inference model (CSIM) to derive 15 relationships between content and services, and defines functions to manipulate these relationships. Adding the manipulation functions to query predicates facilitates the description of structural semantics of DL content. Moreover, in search for DL services, inferences concerning CSIM relationships can be made to reuse DL service components. Highly promising with experimental results demonstrates that CSIM outperforms the conventional keyword-based method in both content and service queries. Applying CSIM in DL significantly improves semantic queries and alleviates the administrative load when developing novel DL services such as DL query interface, library resource-planning and virtual union catalog system.
  
  
  
• 7
  Chen, H.-H. ; Kuo, J.-J. ; Huang, S.-J. ; Lin, C.-J. ; Wung, H.-C.: ¬A summarization system for Chinese news from multiple sources.
  In: Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1224-1236.
  
  Abstract: This article proposes a summarization system for multiple documents. It employs not only named entities and other signatures to cluster news from different sources, but also employs punctuation marks, linking elements, and topic chains to identify the meaningful units (MUs). Using nouns and verbs to identify the similar MUs, focusing and browsing models are applied to represent the summarization results. To reduce information loss during summarization, informative words in a document are introduced. For the evaluation, a question answering system (QA system) is proposed to substitute the human assessors. In large-scale experiments containing 140 questions to 17,877 documents, the results show that those models using informative words outperform pure heuristic voting-only strategy by news reporters. This model can be easily further applied to summarize multilingual news from multiple sources.
  
  Themenfeld: Multilinguale Probleme ; Automatisches Abstracting
  
  
• 8
  Pu, H.-T. ; Chuang, S.-L. ; Yang, C.: Subject categorization of query terms for exploring Web users' search interests.
  In: Journal of the American Society for Information Science and technology. 53(2002) no.8, S.617-630.
  
  Abstract: Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.
  
  Themenfeld: Internet ; Suchtaktik ; Benutzerstudien
  Objekt: WWW
  
  
• 9
  Huang, S.-L.: ¬The conceptual model of computer aided Chinese classification system.
  In: Bulletin of the Library Association of China. 1997, no.59, Dec., S.65-74.
  
  Abstract: In a prototype model of a computer aided Chinese classification system, 4 different modules were included: the keyword searching type, user's predomination type, expert wizard type and versatile type. These 4 modules work in different ways whilst sharing the same concept. The keyword searching type finds the most suitable category by scanning the keywords of all categories in a database; it is useful for entrance level staff. The user's predomination type allows the user to key in the proper category to size down the number of returning data; the user then picks the best category by browsing the built in keywords. This module is suitable for professional librarians. The expert wizard type actively leads the user to choose the best category one by one. The versatile type is a mixture of the other 3 types
  
  Anmerkung: [In Chinesisch]
  
  Objekt: Chinese Subject Headings
  Land/Ort: China
  
  
• 10
  Huang, S.-l.: Data structure and searching strategy.
  In: Bulletin of the Library Association of China. 1995, no.55, Jun., S.65-72.
  
  Abstract: Reports the results of a study of the effectiveness of online searching which used TULIPS, the National Taiwan University's OPAC system, to examine the relationship between data structure and information retrieval systems. Results show the efficiency of online searching can be improved by the use of indexes and by searching by subject