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: 04. Juni 2021)

Suchergebnisse

• 1
  Xie, B. ; He, D. ; Mercer, T. ; Wang, Y. ; Wu, D. ; Fleischmann, K.R. ; Zhang, Y. ; Yoder, L.H. ; Stephens, K.K. ; Mackert, M. ; Lee, M.K.: Global health crises are also information crises : a call to action.
  In: Journal of the Association for Information Science and Technology. 71(2020) no.12, S.1419-1423.
  (Opinion paper)
  
  Abstract: In this opinion paper, we argue that global health crises are also information crises. Using as an example the coronavirus disease 2019 (COVID-19) epidemic, we (a) examine challenges associated with what we term "global information crises"; (b) recommend changes needed for the field of information science to play a leading role in such crises; and (c) propose actionable items for short- and long-term research, education, and practice in information science.
  
  Inhalt: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24357.
  
  Wissenschaftsfach: Medizin
  
  
• 2
  Li, D. ; Wang, Y. ; Madden, A. ; Ding, Y. ; Sun, G.G. ; Zhang, N. ; Zhou, E.: Analyzing stock market trends using social media user moods and social influence.
  In: Journal of the Association for Information Science and Technology. 70(2019) no.9, S.1000-1013.
  
  Abstract: Information from microblogs is gaining increasing attention from researchers interested in analyzing fluctuations in stock markets. Behavioral financial theory draws on social psychology to explain some of the irrational behaviors associated with financial decisions to help explain some of the fluctuations. In this study we argue that social media users who demonstrate an interest in finance can offer insights into ways in which irrational behaviors may affect a stock market. To test this, we analyzed all the data collected over a 3-month period in 2011 from Tencent Weibo (one of the largest microblogging websites in China). We designed a social influence (SI)-based Tencent finance-related moods model to simulate investors' irrational behaviors, and designed a Tencent Moods-based Stock Trend Analysis (TM_STA) model to detect correlations between Tencent moods and the Hushen-300 index (one of the most important financial indexes in China). Experimental results show that the proposed method can help explain the data fluctuation. The findings support the existing behavioral financial theory, and can help to understand short-term rises and falls in a stock market. We use behavioral financial theory to further explain our findings, and to propose a trading model to verify the proposed model.
  
  Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24173.
  
  
  
• 3
  Huang, C. ; Zha, X. ; Yan, Y. ; Wang, Y.: Understanding the social structure of academic social networking sites : the case of ResearchGate.
  In: Libri. 69(2019) no.3, S.189-199.
  
  Abstract: The goal of ResearchGate (RG) is to help users exchange scholarly information around the world. This study drew on adaptive structuration theory (AST) to investigate the social structure of RG, which had been largely overlooked by prior research. Data were crawled from RG and results were presented based on content analysis. For the social structure embedded in RG, the most frequent updates of structural features and spirit occurred in the first two years. Six representative updates for information exchange were analyzed and the newly embedded social structures were presented. For the social structure emerging in using RG, users were more willing to answer questions than ask questions, which countered intuition. Three categories were elicited to present the purpose and expectation of questions. Users were more willing to publish publications than publish projects. Compared with reading publications and projects published by others, users seldom commented on them. For the comparison between the two social structures, this paper analyzed and compared the two social structures in terms of three types of information exchange, finding that the social structure emerging in using RG differed from that embedded in RG. We suggest that this paper could potentially help the two social structures of RG promote the optimization of each other.
  
  Inhalt: Vgl.: https://doi.org/10.1515/libri-2019-0011.
  
  Objekt: ResearchGate
  
  
• 4
  Wang, Y. ; Tai, Y. ; Yang, Y.: Determination of semantic types of tags in social tagging systems.
  In: Knowledge organization. 45(2018) no.8, S.653-666.
  
  Abstract: The purpose of this paper is to determine semantic types for tags in social tagging systems. In social tagging systems, the determination of the semantic type of tags plays an important role in tag classification, increasing the semantic information of tags and establishing mapping relations between tagged resources and a normed ontology. The research reported in this paper constructs the semantic type library that is needed based on the Unified Medical Language System (UMLS) and FrameNet and determines the semantic type of selected tags that have been pretreated via direct matching using the Semantic Navigator tool, the Semantic Type Word Sense Disambiguation (STWSD) tools in UMLS, and artificial matching. And finally, we verify the feasibility of the determination of semantic type for tags by empirical analysis.
  
  Inhalt: DOI:10.5771/0943-7444-2018-8-653.
  
  Themenfeld: Social tagging ; Wissensrepräsentation
  Wissenschaftsfach: Medizin
  Objekt: UMLS ; FrameNet
  
  
• 5
  Wang, Y. ; Shah, C.: Investigating failures in information seeking episodes.
  In: Aslib journal of information management. 69(2017) no.4, S.441-459.
  
  Abstract: Purpose People face barriers and failures in various kinds of information seeking experiences. These are often attributed to either the information seeker or the system/service they use. The purpose of this paper is to investigate how and why individuals fail to fulfill their information needs in all contexts and situations. It addresses the limitations of existing studies in examining the context of the task and information seeker's strategy and seeks to gain a holistic understanding of information seeking barriers and failures. Design/methodology/approach The primary method used for this investigation is a qualitative survey, in which 63 participants provided 208 real life examples of failures in information seeking. After analyzing the survey data, ten semi-structured interviews with another group of participants were conducted to further examine the survey findings. Data were analyzed using various theoretical frameworks of tasks, strategies, and barriers. Findings A careful examination of aspects of tasks, barriers, and strategies identified from the examples revealed that a wide range of external and internal factors caused people's failures. These factors were also caused or affected by multiple aspects of information seekers' tasks and strategies. People's information needs were often too contextual and specific to be fulfilled by the information retrieved. Other barriers, such as time constraint and institutional restrictions, also intensified the problem. Originality/value This paper highlights the importance of considering the information seeking episodes in which individuals fail to fulfill their needs in a holistic approach by analyzing their tasks, information needs, strategies, and obstacles. The modified theoretical frameworks and the coding methods used could also be instrumental for future research.
  
  Inhalt: Vgl.: https://doi.org/10.1108/AJIM-02-2017-0041.
  
  
  
• 6
  Wu, S. ; Liu, S. ; Wang, Y. ; Timmons, T. ; Uppili, H. ; Bedrick, S. ; Hersh, W. ; Liu, H,: Intrainstitutional EHR collections for patient-level information retrieval.
  In: Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2636-2648.
  
  Abstract: Research in clinical information retrieval has long been stymied by the lack of open resources. However, both clinical information retrieval research innovation and legitimate privacy concerns can be served by the creation of intrainstitutional, fully protected resources. In this article, we provide some principles and tools for information retrieval resource-building in the unique problem setting of patient-level information retrieval, following the tradition of the Cranfield paradigm. We further include an analysis of parallel information retrieval resources at Oregon Health & Science University and Mayo Clinic that were built on these principles.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23884/full.
  
  Anmerkung: Beitrag in einem Special issue on biomedical information retrieval.
  
  Wissenschaftsfach: Medizin
  
  
• 7
  Wang, Y. ; Lee, J.-S. ; Choi, I.-C.: Indexing by Latent Dirichlet Allocation and an Ensemble Model.
  In: Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1736-1750.
  
  Abstract: The contribution of this article is twofold. First, we present Indexing by latent Dirichlet allocation (LDI), an automatic document indexing method. Many ad hoc applications, or their variants with smoothing techniques suggested in LDA-based language modeling, can result in unsatisfactory performance as the document representations do not accurately reflect concept space. To improve document retrieval performance, we introduce a new definition of document probability vectors in the context of LDA and present a novel scheme for automatic document indexing based on LDA. Second, we propose an Ensemble Model (EnM) for document retrieval. EnM combines basic indexing models by assigning different weights and attempts to uncover the optimal weights to maximize the mean average precision. To solve the optimization problem, we propose an algorithm, which is derived based on the boosting method. The results of our computational experiments on benchmark data sets indicate that both the proposed approaches are viable options for document retrieval.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23444/abstract.
  
  
  
• 8
  Zhang, C. ; Liu, X. ; Xu, Y.(C.) ; Wang, Y.: Quality-structure index : a new metric to measure scientific journal influence.
  In: Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.643-653.
  
  Abstract: An innovative model to measure the influence among scientific journals is developed in this study. This model is based on the path analysis of a journal citation network, and its output is a journal influence matrix that describes the directed influence among all journals. Based on this model, an index of journals' overall influence, the quality-structure index (QSI), is derived. Journal ranking based on QSI has the advantage of accounting for both intrinsic journal quality and the structural position of a journal in a citation network. The QSI also integrates the characteristics of two prevailing streams of journal-assessment measures: those based on bibliometric statistics to approximate intrinsic journal quality, such as the Journal Impact Factor, and those using a journal's structural position based on the PageRank-type of algorithm, such as the Eigenfactor score. Empirical results support our finding that the new index is significantly closer to scholars' subjective perception of journal influence than are the two aforementioned measures. In addition, the journal influence matrix offers a new way to measure two-way influences between any two academic journals, hence establishing a theoretical basis for future scientometrics studies to investigate the knowledge flow within and across research disciplines.
  
  Themenfeld: Informetrie
  
  
• 9
  Tsai, M.-.F. ; Chen, H.-H. ; Wang, Y.-T.: Learning a merge model for multilingual information retrieval.
  In: Information processing and management. 47(2011) no.5, S.635-646.
  
  Abstract: This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we present a number of features that may influence the MLIR merging process. These features are mainly extracted from three levels: query, document, and translation. After the feature extraction, we then use the FRank ranking algorithm to construct a merge model. To the best of our knowledge, this practice is the first attempt to use a learning-based ranking algorithm to construct a merge model for MLIR merging. In our experiments, three test collections for the task of crosslingual information retrieval (CLIR) in NTCIR3, 4, and 5 are employed to assess the performance of our proposed method. Moreover, several merging methods are also carried out for a comparison, including traditional merging methods, the 2-step merging strategy, and the merging method based on logistic regression. The experimental results show that our proposed method can significantly improve merging quality on two different types of datasets. In addition to the effectiveness, through the merge model generated by FRank, our method can further identify key factors that influence the merging process. This information might provide us more insight and understanding into MLIR merging.
  
  Inhalt: Beitrag in einem Themenschwerpunkt "Managing and Mining Multilingual Documents". Vgl.: 10.1016/j.ipm.2009.12.002.
  
  Themenfeld: Multilinguale Probleme
  
  
• 10
  Wang, Y.-H. ; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference.
  In: Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol I, IMECS 2009, March 18 - 20, 2009, Hong Kong. IAENG : Hong Kong, 2009. S.1002-1008.
  
  Abstract: Semantic Search has become an active research of Semantic Web in recent years. The classification methodology plays a pretty critical role in the beginning of search process to disambiguate irrelevant information. However, the applications related to Folksonomy suffer from many obstacles. This study attempts to eliminate the problems resulted from Folksonomy using existing semantic technology. We also focus on how to effectively integrate heterogeneous ontologies over the Internet to acquire the integrity of domain knowledge. A faceted logic layer is abstracted in order to strengthen category framework and organize existing available ontologies according to a series of steps based on the methodology of faceted classification and ontology construction. The result showed that our approach can facilitate the integration of inconsistent or even heterogeneous ontologies. This paper also generalizes the principles of picking appropriate facets with which our facet browser completely complies so that better semantic search result can be obtained.
  
  Inhalt: Vgl.: http://www.iaeng.org/publication/IMECS2009/IMECS2009_pp1002-1008.pdf.
  
  Themenfeld: Wissensrepräsentation ; Semantisches Umfeld in Indexierung u. Retrieval
  
  
• 11
  Yu, L. ; Hong, Q. ; Gu, S. ; Wang, Y.: ¬An epistemological critique of gap theory based library assessment : the case of SERVQUAL.
  In: Journal of documentation. 64(2008) no.4, S.511-551.
  
  Abstract: Purpose - The purpose of this paper is twofold: first, to investigate the epistemological underpinning of SERVQUAL and its limitations; and second, to propose ways to enhance the utility of SERVQUAL as a library assessment tool. Design/methodology/approach - The study first conceptualises quality judgment as a knowing process and locates the epistemological stance of SERVQUAL within the general framework of epistemology demarcation; it then examines related SERVQUAL assumptions and their implications for library assessment in general and for service quality assessment in particular based on two empirical investigations: a questionnaire survey and an interview survey. The questionnaire survey applies the SERVQUAL instrument to three Chinese university libraries, with a view to examining the SERVQUAL score in light of epistemological considerations; the interview survey interviews 50 faculty users in one of the three universities with a view to illuminating the naturalistic process through which users develop their judgement of the library's service quality and through which the SERVQUAL score is formed. Findings - The study shows that the actual SERVQUAL score is distributed in a very scattered manner in all three libraries, and that it is formed through a very complex process rooted primarily in the user's personal experiences with the library, which are in turn shaped by factors from both the library world and the user's life-world. Based on these findings, this research questions a number of SERVQUAL assumptions and proposes three concepts which may help to contextualise the SERVQUAL score and enhance its utility in actual library assessment: library planning based variance of user perception, perception-dependent user expectation and library-sophistication based user differentiation. Originality/value - The research presented in the paper questions a number of SERVQUAL assumptions and proposes three concepts that may help to contextualise the SERVQUAL score and enhance its utility in actual library assessment.
  
  
  
• 12
  Gao, K. ; Wang, Y.-C. ; Wang, Z.-Q.: Similar interest clustering and partial back-propagation-based recommendation in digital library.
  In: Library hi tech. 23(2005) no.4, S.587-597.
  
  Abstract: Purpose - This purpose of this paper is to propose a recommendation approach for information retrieval. Design/methodology/approach - Relevant results are presented on the basis of a novel data structure named FPT-tree, which is used to get common interests. Then, data is trained by using a partial back-propagation neural network. The learning is guided by users' click behaviors. Findings - Experimental results have shown the effectiveness of the approach. Originality/value - The approach attempts to integrate metric of interests (e.g., click behavior, ranking) into the strategy of the recommendation system. Relevant results are first presented on the basis of a novel data structure named FPT-tree, and then, those results are trained through a partial back-propagation neural network. The learning is guided by users' click behaviors.
  
  
  
• 13
  Wang, Y.: ¬A look into Chinese persons' names in bibliography practice.
  In: Cataloging and classification quarterly. 31(2000) no.1, S.51-81.
  
  Abstract: Many Chinese persons active in different languages have redundant or inappropriate name headings in databases. This paper invents a ''Sheep-Fox Method'' visually describing various forms of Chinese persons' names in different languages and in transliteration, conceptually and factually clarifying complicated relations between the names, name forms, and gives typical examples to indicate appropriate choices in bibliography practice. It also suggests improvements for the practice. The paper discusses matters in Chinese persons' names with the understanding that its method could be universally applied to persons' names in other languages of scripts in general as well.
  
  Themenfeld: Formalerschließung
  
  
• 14
  Evens, M. ; Wang, Y. ; Vandendorpe, J.: Relational thesauri in information retrieval.
  In: Journal of the American Society for Information Science. 36(1985) no.1, S.15-27.