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
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1Tang, R. ; Mehra, B. ; Du, J.T. ; Zhao, Y.C.: Paradigm shift in the field of information.
In: Journal of the Association for Information Science and Technology. 72(2021) no.10, S.1217-1222.
(Special issue: Paradigm shift in the field of information)
Abstract: Special issue editorial
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24566.
Themenfeld: Information
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2Tang, R.T. ; Mehra, B. ; BorgmaDun, J.T. ; Zhao, Y.(C).: Framing a discussion on paradigm shift(s) in the field of information.
In: Journal of the Association for Information Science and Technology. 72(2021) no.2, S.253-258.
(Opinion paper)
Abstract: In this opinion paper, we frame a discussion on paradigm shift(s) in the field of information. We believe that in this astonishing historical moment of new directions and new opportunities both the existing paradigms and conceptual models in the field of information can benefit from re-examination to stay current with the times. We propose a framework articulating key narratives associated with the why, what, how, and who dimensions to discuss paradigm shift(s). The purpose of this opinion paper is to initiate dialogues on ground-breaking ideas and innovative solutions as well as support research that addresses contemporary challenges in the field of information.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24404.
Wissenschaftsfach: Informationswissenschaft
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3Huang, T. ; Nie, R. ; Zhao, Y.: Archival knowledge in the field of personal archiving : an exploratory study based on grounded theory.
In: Journal of documentation. 77(2021) no.1, S.19-40.
Abstract: Purpose The purpose of this paper is to propose a theoretical framework to illustrate the archival knowledge applied by archivists in their personal archiving (PA) and the mechanism of the application of archival knowledge in their PA. Design/methodology/approach The grounded theory methodology was adopted. For data collection, in-depth interviews were conducted with 21 archivists in China. Data analysis was performed using the open coding, axial coding and selective coding to organise the archival knowledge composition of PA and develops the awareness-knowledge-action (AKA) integration model of archival knowledge application in the field of PA, according to the principles of the grounded theory. Findings The archival knowledge involved in the field of PA comprises four principal categories: documentation, arrangement, preservation and appraisal. Three interactive factors involved in archivists' archival knowledge application in the field of PA behaviour: awareness, knowledge and action, which form a pattern of awareness leading, knowledge guidance and action innovation, and archivists' PA practice is flexible and innovative. The paper underscored that it is need to improve archival literacy among general public. Originality/value The study constructs a theoretical framework to identify the specialised archival knowledge and skills of PA which is able to provide solutions for non-specialist PA and develops an AKA model to explain the interaction relationships between awareness, knowledge and action in the field of PA.
Inhalt: Vgl.: https://doi.org/10.1108/JD-04-2020-0071.
Anwendungsfeld: Archive
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4Wu, Z. ; Lu, C. ; Zhao, Y. ; Xie, J. ; Zou, D. ; Su, X.: ¬The protection of user preference privacy in personalized information retrieval : challenges and overviews.
In: Libri. 71(2021) no.3, S.227-237.
Abstract: This paper reviews a large number of research achievements relevant to user privacy protection in an untrusted network environment, and then analyzes and evaluates their application limitations in personalized information retrieval, to establish the conditional constraints that an effective approach for user preference privacy protection in personalized information retrieval should meet, thus providing a basic reference for the solution of this problem. First, based on the basic framework of a personalized information retrieval platform, we establish a complete set of constraints for user preference privacy protection in terms of security, usability, efficiency, and accuracy. Then, we comprehensively review the technical features for all kinds of popular methods for user privacy protection, and analyze their application limitations in personalized information retrieval, according to the constraints of preference privacy protection. The results show that personalized information retrieval has higher requirements for users' privacy protection, i.e., it is required to comprehensively improve the security of users' preference privacy on the untrusted server-side, under the precondition of not changing the platform, algorithm, efficiency, and accuracy of personalized information retrieval. However, all kinds of existing privacy methods still cannot meet the above requirements. This paper is an important study attempt to the problem of user preference privacy protection of personalized information retrieval, which can provide a basic reference and direction for the further study of the problem.
Inhalt: Vgl.: https://www.degruyter.com/document/doi/10.1515/libri-2019-0140/html.
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5Zhang, J. ; Chen, Y. ; Zhao, Y. ; Wolfram, D. ; Ma, F.: Public health and social media : a study of Zika virus-related posts on Yahoo! Answers.
In: Journal of the Association for Information Science and Technology. 71(2020) no.3, S.282-299.
Abstract: This study investigates the content of questions and responses about the Zika virus on Yahoo! Answers as a recent example of how public concerns regarding an international health issue are reflected in social media. We investigate the contents of posts about the Zika virus on Yahoo! Answers, identify and reveal subject patterns about the Zika virus, and analyze the temporal changes of the revealed subject topics over 4 defined periods of the Zika virus outbreak. Multidimensional scaling analysis, temporal analysis, and inferential statistical analysis approaches were used in the study. A resulting 2-layer Zika virus schema, and term connections and relationships are presented. The results indicate that consumers' concerns changed over the 4 defined periods. Consumers paid more attention to the basic information about the Zika virus, and the prevention and protection from the Zika virus at the beginning of the outbreak of the Zika virus. During the later periods, consumers became more interested in the role that the government and health organizations played in the public health emergency.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24245.
Wissenschaftsfach: Medizin
Objekt: Yahoo
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6Zhao, Y.C. ; Peng, X. ; Liu, Z. ; Song, S. ; Hansen, P.: Factors that affect asker's pay intention in trilateral payment-based social Q&A platforms : from a benefit and cost perspective.
In: Journal of the Association for Information Science and Technology. 71(2020) no.5, S.516-528.
Abstract: More and more social Q&A platforms are launching a new business model to monetize online knowledge. This monetizing process introduces a more complicated cost and benefit tradeoff to users, especially for askers' concerns. Much of the previous research was conducted in the context of free-based Q&A platform, which hardly explains the triggers that motivate askers' pay intention. Based on the theories of social exchange and social capital, this study aims to identify and examine the antecedents of askers' pay intention from the perspective of benefit and cost. We empirically test our predictions based on survey data collected from 322 actual askers in a well-known trilateral payment-based social Q&A platform in China. The results by partial least squares (PLS) analysis indicate that besides noneconomic benefits including self-enhancement, social support, and entertainment, financial factors such as cost and benefit have significant influences on the perceived value of using trilateral payment-based Q&A platforms. More important, we further identify that the effect of financial benefit is moderated by perceived reciprocity belief, and the effect of perceived value is moderated by perceived trust in answerers. Our findings contribute to the previous literature by proposing a theoretical model that explains askers' behavioral intention, and the practical implications for payment-based Q&A service providers and participants.
Inhalt: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24262.
Themenfeld: Informationsdienstleistungen
Land/Ort: China
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7Bu, Y. ; Ding, Y. ; Xu, J. ; Liang, X. ; Gao, G. ; Zhao, Y.: Understanding success through the diversity of collaborators and the milestone of career.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.87-97.
Abstract: Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author-Conference-Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h-indices. We find that the collaborators of high-impact researchers tend to study diverse research topics and have diverse h-indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with non-authoritative authors carries more weight after PhD graduation.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23911/full.
Themenfeld: Informetrie
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8Zhao, Y.(C.) ; Xu, X. ; Peng, X. ; Song, S.: Understanding the determinants and dynamic process of user exodus in social networking sites : evidence from Kaixin001.
In: Journal of the Association for Information Science and Technology. 69(2018) no.4, S.553-565.
Abstract: Understanding the factors and mechanism that affect the users' abandon behaviors is necessary for the sustained use of Social Networking Sites (SNSs). This study focuses on a special SNS discontinuance phenomenon-user exodus. Compared to individual discontinuance behavior studied in prior research, the SNS user exodus possesses its own characteristics: a huge magnitude of users abandon a given SNS product in a very short time. Given the fatal blow of exodus to SNS providers, this exploratory research seeks to unravel why and how the SNS user exodus occurs. Specifically, we conducted a mixed-method research combining laddering interview and network analysis. Drawing on the means-end chain theory, laddering interviews were first used to collect data from discontinuers of a Chinese SNS, Kaixin001, which has experienced a severe user dropout. Then we identified various factors triggering user exodus by content analysis. Last, network analysis was employed to establish the connections between various attributes, consequences, and values. The results showed that user exodus in SNS is strongly related to three types of value: functional, affective, and social value. More important, we also emphasized the dynamics process of exodus by highlighting the role of lurking. Possible contributions and implications of our findings are discussed.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23974.
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9Zhao, Y. ; Ma, F. ; Xia, X.: Evaluating the coverage of entities in knowledge graphs behind general web search engines : Poster.
In: http://www.iskocus.org/NASKO2017papers/NASKO2017_paper_10.pdf [NASKO 2017, June 15-16, 2017, Champaign, IL, USA].
Abstract: Web search engines, such as Google and Bing, are constantly employing results from knowledge organization and various visualization features to improve their search services. Knowledge graph, a large repository of structured knowledge represented by formal languages such as RDF (Resource Description Framework), is used to support entity search feature of Google and Bing (Demartini, 2016). When a user searchs for an entity, such as a person, an organization, or a place in Google or Bing, it is likely that a knowledge cardwill be presented on the right side bar of the search engine result pages (SERPs). For example, when a user searches the entity Benedict Cumberbatch on Google, the knowledge card will show the basic structured information about this person, including his date of birth, height, spouse, parents, and his movies, etc. The knowledge card, which is used to present the result of entity search, is generated from knowledge graphs. Therefore, the quality of knowledge graphs is essential to the performance of entity search. However, studies on the quality of knowledge graphs from the angle of entity coverage are scant in the literature. This study aims to investigate the coverage of entities of knowledge graphs behind Google and Bing.
Inhalt: Beitrag bei: NASKO 2017: Visualizing Knowledge Organization: Bringing Focus to Abstract Realities. The sixth North American Symposium on Knowledge Organization (NASKO 2017), June 15-16, 2017, in Champaign, IL, USA.
Themenfeld: Suchmaschinen
Objekt: Google ; Bing
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10Zhao, Y.W. ; Chi. C.-H. ; Heuvel, W.J. van den: Imperfect referees : reducing the impact of multiple biases in peer review.
In: Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2340-2356.
Abstract: Bias in peer review entails systematic prejudice that prevents accurate and objective assessment of scientific studies. The disparity between referees' opinions on the same paper typically makes it difficult to judge the paper's quality. This article presents a comprehensive study of peer review biases with regard to 2 aspects of referees: the static profiles (factual authority and self-reported confidence) and the dynamic behavioral context (the temporal ordering of reviews by a single reviewer), exploiting anonymized, real-world review reports of 2 different international conferences in information systems / computer science. Our work extends conventional bias research by considering multiple biases occurring simultaneously. Our findings show that the referees' static profiles are more dominant in peer review bias when compared to their dynamic behavioral context. Of the static profiles, self-reported confidence improved both conference fitness and impact-based bias reductions, while factual authority could only contribute to conference fitness-based bias reduction. Our results also clearly show that the reliability of referees' judgments varies along their static profiles and is contingent on the temporal interval between 2 consecutive reviews.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23317/abstract.
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11Zhang, J. ; Zhao, Y.: ¬A user term visualization analysis based on a social question and answer log.
In: Information processing and management. 49(2013) no.5, S.1019-1048.
Abstract: The authors of this paper investigate terms of consumers' diabetes based on a log from the Yahoo!Answers social question and answers (Q&A) forum, ascertain characteristics and relationships among terms related to diabetes from the consumers' perspective, and reveal users' diabetes information seeking patterns. In this study, the log analysis method, data coding method, and visualization multiple-dimensional scaling analysis method were used for analysis. The visual analyses were conducted at two levels: terms analysis within a category and category analysis among the categories in the schema. The findings show that the average number of words per question was 128.63, the average number of sentences per question was 8.23, the average number of words per response was 254.83, and the average number of sentences per response was 16.01. There were 12 categories (Cause & Pathophysiology, Sign & Symptom, Diagnosis & Test, Organ & Body Part, Complication & Related Disease, Medication, Treatment, Education & Info Resource, Affect, Social & Culture, Lifestyle, and Nutrient) in the diabetes related schema which emerged from the data coding analysis. The analyses at the two levels show that terms and categories were clustered and patterns were revealed. Future research directions are also included.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2013.04.003.
Themenfeld: Visualisierung
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12Ma, N. ; Guan, J. ; Zhao, Y.: Bringing PageRank to the citation analysis.
In: Information processing and management. 44(2008) no.2, S.800-810.
Abstract: The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google's PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications' influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000-2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded.
Themenfeld: Citation indexing
Objekt: PageRank