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)
1Kim, H.H. ; Kim, Y.H.: Video summarization using event-related potential responses to shot boundaries in real-time video watching.
In: Journal of the Association for Information Science and Technology. 70(2019) no.2, S.164-175.
Abstract: Our aim was to develop an event-related potential (ERP)-based method to construct a video skim consisting of key shots to bridge the semantic gap between the topic inferred from a whole video and that from its summary. Mayer's cognitive model was examined, wherein the topic integration process of a user evoked by a visual stimulus can be associated with long-latency ERP components. We determined that long-latency ERP components are suitable for measuring a user's neuronal response through a literature review. We hypothesized that N300 is specific to the categorization of all shots regardless of topic relevance, N400 is specific for the semantic mismatching process for topic-irrelevant shots, and P600 is specific for the context updating process for topic-relevant shots. In our experiment, the N400 component led to more negative ERP signals in response to topic-irrelevant shots than to topic-relevant shots and showed a fronto-central scalp pattern. P600 elicited more positive ERP signals for topic-relevant shots than for topic-irrelevant shots and showed a fronto-central scalp pattern. We used discriminant and artificial neural network (ANN) analyses to decode video shot relevance and observed that the ANN produced particularly high success rates: 91.3% from the training set and 100% from the test set.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24103.
Themenfeld: Automatisches Abstracting
Behandelte Form: Videos
2Kim, H.H. ; Kim, Y.H.: ERP/MMR algorithm for classifying topic-relevant and topic-irrelevant visual shots of documentary videos.
In: Journal of the Association for Information Science and Technology. 70(2019) no.9, S.931-941.
Abstract: We propose and evaluate a video summarization method based on a topic relevance model, a maximal marginal relevance (MMR), and discriminant analysis to generate a semantically meaningful video skim. The topic relevance model uses event-related potential (ERP) components to describe the process of topic relevance judgment. More specifically, the topic relevance model indicates that N400 and P600, which have been successfully applied to the mismatch process of a stimulus and the discourse-internal reorganization and integration process of a stimulus, respectively, are used for the topic mismatch process of a topic-irrelevant video shot and the topic formation process of a topic-relevant video shot. To evaluate our proposed ERP/MMR-based method, we compared the video skims generated by the ERP/MMR-based, ERP-based, and shot boundary detection (SBD) methods with ground truth skims. The results showed that at a significance level of 0.05, the ROUGE-1 scores of the ERP/MMR method are statistically higher than those of the SBD method, and the diversity scores of the ERP/MMR method are statistically higher than those of the ERP method. This study suggested that the proposed method may be applied to the construction of a video skim without operational intervention, such as the insertion of a black screen between video shots.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24179.
Anmerkung: Beitrag in einem 'Special issue on neuro-information science'.
Themenfeld: Automatisches Abstracting
Behandelte Form: Videos
3Hiniker, A. ; Hong, S.R. ; Kim, Y.-S. ; Chen, N.-C. ; West, J.D. ; Aragon, C.: Toward the operationalization of visual metaphor.
In: Journal of the Association for Information Science and Technology. 68(2017) no.10, S.2338-2349.
Abstract: Many successful digital interfaces employ visual metaphors to convey features or data properties to users, but the characteristics that make a visual metaphor effective are not well understood. We used a theoretical conception of metaphor from cognitive linguistics to design an interactive system for viewing the citation network of the corpora of literature in the JSTOR database, a highly connected compound graph of 2 million papers linked by 8 million citations. We created 4 variants of this system, manipulating 2 distinct properties of metaphor. We conducted a between-subjects experimental study with 80 participants to compare understanding and engagement when working with each version. We found that building on known image schemas improved response time on look-up tasks, while contextual detail predicted increases in persistence and the number of inferences drawn from the data. Schema-congruency combined with contextual detail produced the highest gains in comprehension. These findings provide concrete mechanisms by which designers presenting large data sets through metaphorical interfaces may improve their effectiveness and appeal with users.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23857/full.
4Kim, Y. ; Yoon, A.: Scientists' data reuse behaviors : a multilevel analysis.
In: Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2709-2719.
Abstract: This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. This research employed an integrated theoretical framework combining institutional theory and the theory of planned behavior. The combined theoretical framework can apply the institutional theory at the individual level and extend the theory of planned behavior by including relevant contexts. This study utilized a survey method to test the proposed research model and hypotheses. Study participants were recruited from the Community of Science's (CoS) Scholar Database, and a total of 1,528 scientists responded to the survey. A multilevel analysis method was used to analyze the 1,237 qualified responses. This research showed that scientists' data reuse intentions are influenced by both disciplinary level factors (availability of data repositories) and individual level factors (perceived usefulness, perceived concern, and the availability of internal resources). This study has practical implications for promoting data reuse practices. Three main areas that need to be improved are identified: Educating scientists, providing internal supports, and providing external resources and supports such as data repositories.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23892/full.
5Kim, H.H. ; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations.
In: Journal of the Association for Information Science and Technology. 67(2016) no.2, S.366-379.
Abstract: We propose a tag-based framework that simulates human abstractors' ability to select significant sentences based on key concepts in a sentence as well as the semantic relations between key concepts to create generic summaries of transcribed lecture videos. The proposed extractive summarization method uses tags (viewer- and author-assigned terms) as key concepts. Our method employs Flickr tag clusters and WordNet synonyms to expand tags and detect the semantic relations between tags. This method helps select sentences that have a greater number of semantically related key concepts. To investigate the effectiveness and uniqueness of the proposed method, we compare it with an existing technique, latent semantic analysis (LSA), using intrinsic and extrinsic evaluations. The results of intrinsic evaluation show that the tag-based method is as or more effective than the LSA method. We also observe that in the extrinsic evaluation, the grand mean accuracy score of the tag-based method is higher than that of the LSA method, with a statistically significant difference. Elaborating on our results, we discuss the theoretical and practical implications of our findings for speech video summarization and retrieval.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23391/abstract.
Themenfeld: Automatisches Abstracting
Behandelte Form: Videos
Objekt: Latent Semantic Analysis
6Kim, Y. ; Stanton, J.M.: Institutional and individual factors affecting scientists' data-sharing behaviors : a multilevel analysis.
In: Journal of the Association for Information Science and Technology. 67(2016) no.4, S.776-799.
Abstract: The objective of this research was to investigate the institutional and individual factors that influence scientists' data-sharing behaviors across different scientific disciplines. Two theoretical perspectives, institutional theory, and theory of planned behavior, were employed in developing a research model that showed the complementary nature of the institutional and individual factors influencing scientists' data-sharing behaviors. This research used a survey method to examine to what extent those institutional and individual factors influence scientists' data-sharing behaviors in a range of scientific disciplines. A national survey (with 1,317 scientists in 43 disciplines) showed that regulative pressure by journals, normative pressure at a discipline level, and perceived career benefit and scholarly altruism at an individual level had significant positive relationships with data-sharing behaviors, and that perceived effort had a significant negative relationship. Regulative pressure by funding agencies and the availability of data repositories at a discipline level and perceived career risk at an individual level were not found to have any significant relationships with data-sharing behaviors.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23424/abstract.
7Lee, J.H. ; Cho, H. ; Kim, Y.-S.: Users' music information needs and behaviors : design implications for music information retrieval systems.
In: Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1301-1330.
Abstract: User studies in the music information retrieval (MIR) domain tend to be exploratory and qualitative in nature, involving a small number of users, which makes it difficult to derive broader implications for system design. In order to fill this gap, we conducted a large-scale user survey questioning various aspects of people's music information needs and behaviors. In particular, we investigated if general music users' needs and behaviors have significantly changed over time by comparing our current survey results with a similar survey conducted in 2004. In this paper, we present the key findings from the survey data and discuss 4 emergent themes-(a) the shift in access and use of personal music collections; (b) the growing need for tools to support collaborative music seeking, listening, and sharing; (c) the importance of "visual" music experiences; and (d) the need for ontologies for providing rich contextual information. We conclude by making specific recommendations for improving the design of MIR systems and services.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23471/abstract.
8Yi, K. ; Choi, N. ; Kim, Y.S.: ¬A content analysis of Twitter hyperlinks and their application in web resource indexing.
In: Journal of the Association for Information Science and Technology. 67(2016) no.8, S.1808-1821.
Abstract: Twitter has emerged as a popular source of sharing and delivering news information. In tweet messages, URLs to web resources and hashtags are often included. This study investigates the potential of the hyperlinks and hashtags as topical clues and indicators to tweet messages. For this study, we crawled and analyzed about 1.5 million tweets for a 3-month period covering any topic or subject. The findings of this study revealed a power law relationship for the ranking and frequency of (a) the host names of URLs, and (b) a pair of hashtags and URLs that appeared in the tweet messages. This study also discovered that the most popular URLs used in tweets come from news and media websites, and a majority of the hyperlinked resources are news web pages. One implication of this study is that Twitter users are becoming more active in sharing already published information than producing new information. Finally, our investigation on hashtags for web resource indexing reveals that hashtags have the potential to be used as indexing terms for co-occurring URLs in the same tweet. We also discuss the implications of this study for web resource recommendation.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23508/abstract.
9Kim, Y. ; Seo, J. ; Croft, W.B. ; Smith, D.A.: Automatic suggestion of phrasal-concept queries for literature search.
In: Information processing and management. 50(2014) no.4, S.568-583.
Abstract: Both general and domain-specific search engines have adopted query suggestion techniques to help users formulate effective queries. In the specific domain of literature search (e.g., finding academic papers), the initial queries are usually based on a draft paper or abstract, rather than short lists of keywords. In this paper, we investigate phrasal-concept query suggestions for literature search. These suggestions explicitly specify important phrasal concepts related to an initial detailed query. The merits of phrasal-concept query suggestions for this domain are their readability and retrieval effectiveness: (1) phrasal concepts are natural for academic authors because of their frequent use of terminology and subject-specific phrases and (2) academic papers describe their key ideas via these subject-specific phrases, and thus phrasal concepts can be used effectively to find those papers. We propose a novel phrasal-concept query suggestion technique that generates queries by identifying key phrasal-concepts from pseudo-labeled documents and combines them with related phrases. Our proposed technique is evaluated in terms of both user preference and retrieval effectiveness. We conduct user experiments to verify a preference for our approach, in comparison to baseline query suggestion methods, and demonstrate the effectiveness of the technique with retrieval experiments.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2014.03.003.
10Rieh, S.Y. ; Kim, Y.-M. ; Markey, K.: Amount of invested mental effort (AIME) in online searching.
In: Information processing and management. 48(2012) no.6, S.1136-1150.
Abstract: This research investigates how people's perceptions of information retrieval (IR) systems, their perceptions of search tasks, and their perceptions of self-efficacy influence the amount of invested mental effort (AIME) they put into using two different IR systems: a Web search engine and a library system. It also explores the impact of mental effort on an end user's search experience. To assess AIME in online searching, two experiments were conducted using these methods: Experiment 1 relied on self-reports and Experiment 2 employed the dual-task technique. In both experiments, data were collected through search transaction logs, a pre-search background questionnaire, a post-search questionnaire and an interview. Important findings are these: (1) subjects invested greater mental effort searching a library system than searching the Web; (2) subjects put little effort into Web searching because of their high sense of self-efficacy in their searching ability and their perception of the easiness of the Web; (3) subjects did not recognize that putting mental effort into searching was something needed to improve the search results; and (4) data collected from multiple sources proved to be effective for assessing mental effort in online searching.
Inhalt: Vgl.: doi: 10.1016/j.ipm.2012.05.001.
Themenfeld: Suchtaktik ; OPAC ; Suchmaschinen
11Clark, M. ; Kim, Y. ; Kruschwitz, U. ; Song, D. ; Albakour, D. ; Dignum, S. ; Beresi, U.C. ; Fasli, M. ; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research.
In: Information processing and management. 48(2012) no.3, S.552-568.
Abstract: This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.
Inhalt: Beitrag in einem Themenheft "Soft Approaches to IA on the Web". Vgl.: doi:10.1016/j.ipm.2011.07.002.
Themenfeld: Wissensrepräsentation ; Computerlinguistik
12Kang, M. ; Kim, Y.-G.: ¬A multilevel view on interpersonal knowledge transfer.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.3, S.483-494.
Abstract: Knowledge transfer among employees is a critical enabler of organizational learning. In this article, the direct and moderating effects of the multilevel (i.e., dyadic and individual levels) antecedents of knowledge transfer are examined based on social network and knowledge management research. By analyzing the survey responses from eight R&D groups of five firms using hierarchical linear modeling, we find that structural equivalence significantly influences interpersonal knowledge transfer at the dyadic level, even when strength of ties is controlled. At the individual level, the knowledge recipient's motivational factors such as group identification and the perceived expertise of colleagues show significant effects on knowledge transfer. Finally, the effect of strength of ties at the dyadic level is more influential when the recipient's group identification is low.
13Kim, H.H. ; Kim, Y.H.: Toward a conceptual framework of key-frame extraction and storyboard display for video summarization.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.927-939.
Abstract: Two key problems in developing a storyboard are (a) the extraction of video key frames and (b) the display of the storyboard. On the basis of our findings from a preliminary study as well as the results of previous studies on the computerized extraction of key frames and human recognition of images and videos, we propose an algorithm for the extraction of key frames and the structural display of a storyboard. In order to evaluate the proposed algorithm, we conducted an experiment, the results of which suggest that participants produce better summaries of the given videos when they view storyboards that are composed of key frames extracted using the proposed algorithmic method. This finding held, regardless of whether the display pattern used was sequential or structural. In contrast, the experimental results suggest that in the case of employing a mechanical method, the use of a structural display pattern yields greater performance in terms of participants' ability to summarize the given videos. Elaborating on our results, we discuss the practical implications of our findings for video summarization and retrieval.
Behandelte Form: Videos
14Kim, Y.-M.: ¬The adoption of university library Web site resources : a multigroup analysis.
In: Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.978-993.
Abstract: University libraries invest a massive amount of resources in digitizing information for the Web, yet there is growing concern that much of this information is being underutilized. The present study uses the technology acceptance model (TAM) to investigate university library website resources (ULWR) usage. We categorize users based on academic roles and then analyze them as subgroups in order to observe different adoption patterns across groups. A total of 299 usable responses was collected from four different universities and across three populations: undergraduate, master, and doctoral student/faculty groups. The findings show that different library users indeed access ULWR for different reasons, resulting in a need for tailored managerial efforts. Overall, the extended TAM explains undergraduate students' usage best; the explanatory power of the model is significantly lower for the doctoral student/faculty group. Some of the findings challenge results reported in TAM research in other fields. The unexpected findings may result from the application of the model to a different context. Detailed theoretical implications and managerial guidance are offered.
Anwendungsfeld: Wissenschaftliche Bibliotheken
15Kim, Y.-M.: Validation of psychometric research instruments : the case of information science.
In: Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1178-1191.
Abstract: Instrument validation is a critical step that researchers should employ in order to ensure the generation of scientifically valid knowledge. Without it, the basis of research findings and the generalization of such are threatened. This is especially true in the social sciences, a discipline in which the majority of published articles utilize subjective instruments in the collection of data. Consequently, instrument validation has increasingly become common practice in the social sciences, yet implementation of this practice differs greatly among the social-science disciplines. The assessment of instrument validation undertaken in this study attempts to provide guidance for reviewers, editors, authors, and readers, by offering various techniques of validity and analyzing the quality of a set of psychometric journal articles. In this research, six attributes of instrument validation areas are identified as validation protocol. The Journal of the American Society for Information Science and Technology (JASIST), which is widely recognized as a leading journal in the field of information science, was selected for examination to determine how well a set of research articles ranked in meeting instrument-validation protocol. Findings show that while researchers are becoming increasingly attentive to certain validation issues, standards on validation processes and reporting might prove helpful. This paper identifies areas for improvement in the reporting of validity measures and offers ways for researchers to implement them.
16Kim, Y.H. ; Kim, H.H.: Development and validation of evaluation indicators for a consortium of institutional repositories : a case study of dcollection.
In: Journal of the American Society for Information Science and Technology. 59(2008) no.8, S.1282-1294.
Abstract: This study develops evaluation indicators for a consortium of Korean institutional repositories called dCollection and validates the indicators against actual data from the participants of this consortium. The literature review reveals a conceptual framework for institutional repository (IR) evaluation with four categories and 19 items. In developing the initial framework, equal amounts of emphasis are put on the assessments of procedural achievement and actual performance to pinpoint the procedural weaknesses of each IR and to determine its customized solution. A Delphi method of three rounds with the help of IR librarians reveals a converging tendency pertaining to the measures of importance ascribed to the categories and items. Through a focus-group interview with middle- to top-level managers, 39 indicators derived from 19 items are identified as possessing relevancy, measurability, data availability, and differentiability. Validation of evaluation indicators employs actual evaluation data from 32 university IRs. Factor analysis shows a simpler structural pattern containing 12 factors than that of the structural pattern of the conceptual framework that contains 19 items. Correlation analysis using the factor scores identifies six key factors: Registration Rate, Archiving, Resource Allocation, System Performance, Multifunctionality, and Use Rate. The results from regression analyses suggest that two different approaches can be employed to promote the Use Rate factor. In the content-oriented approach, the Registration Rate factor is crucial while in the policy-oriented approach the Archiving factor assumes this role; however, the System Performance factor plays a mediating role for the key factors, thus forming a contingency for either approach.
17Buckland, M.K. ; Chen, A. ; Gebbie, M. ; Kim, Y. ; Norgard, B.: Variation by subdomain in indexes to knowledge organization systems.
In: Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al. Würzburg : Ergon, 2000. S.48-54.
(Advances in knowledge organization; vol.7)
Abstract: Bibliographies and their knowledge organization systems commonly cover broad topical areas. Indexes to knowledge organization systems, such as the Subject Index to the Dewey Decimal Classification, provide a general index to the entirety. However, every community and every specialty develops its own specialized vocabulary. An index derived from the specialized use of language within a single subdomain could well be different from a general-purpose index for all domains and preferable for that subdomain. Statistical association techniques can be used to create indexes to knowledge systems. A preliminary analysis based on the INSPEC database shows that subdomain indexes differ significantly from each other and from a general index. The greater the polysemy of individual words the greater difference in the indexes
18Kim, Y. ; Norgard, B. ; Chen, A. ; Gey, F.: Using ordinary language in access metadata of divers types of information resources : trade classifications and numeric data.
In: Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods. Medford, NJ : Information Today, 1999. S.172-180.
(Proceedings of the American Society for Information Science; vol.36)
Abstract: In this paper, we deal with the retrieval of numeric data from information sources that present special challenges. We describe a new method to deal with the challenge of accessing this special type of data indexed by unfamiliar metadata vocabularies. The purpose of our Entry Vocabulary Module (EVM) approach is to facilitate use of unfamiliar metadata vocabularies to access data. We have developed a method of mapping language found in text of titles and abstracts to metadata vocabulary terms. This enables people to use ordinary language queries to search databases indexed with unfamiliar metadata vocabularies. Numeric data lacks textual resources we draw upon to build associations between ordinary language and metadata terms. Therefore, we have extended the EVM approach to deal with numeric database searching
19Buckland, M. ; Chen, A. ; Chen, H.M. ; Kim, Y. ; Lam, B. ; Larson, R. ; Norgard, B. ; Purat, J. ; Gey, F.: Mapping entry vocabulary to unfamiliar metadata vocabularies.
In: D-Lib magazine. 5(1999) no.1, xx S.
Abstract: The emerging network environment brings access to an increasing population of heterogeneous repositories. Inevitably, these, have quite diverse metadata vocabularies (categorization codes, classification numbers, index and thesaurus terms). So, necessarily, the number of metadata vocabularies that are accessible but unfamiliar for any individual searcher is increasing steeply. When an unfamiliar metadata vocabulary is encountered, how is a searcher to know which codes or terms will lead to what is wanted? This paper reports work at the University of California, Berkeley, on the design and development of English language indexes to metadata vocabularies. Further details and the current status of the work can be found at the project website http://www.sims.berkeley.edu/research/metadata/
Anmerkung: Vgl.: http://www.dlib.org/dlib/january99/buckland/01buckland.html und http://www.sims.berkeley.edu/research/metadata/oasis.html.
20Gudykunst, W. ; Kim, Y.: Communicating with strangers : an approach to intercultural communication.2nd ed.
New York : McGraw-Hill, 1992. XIII,304 S.
Abstract: Addressing the needs of one of the fast growing courses in the US, the second edition of this inter-cultural communication text demonstrates how to overcome the stereotypes we attribute to people who are unknown or unfamiliar strangers when we first meet them. The revision is a thorough updating and reorganization. In addition, the book stresses competent communication, with applied theory and research as its base. The book provides a framework for understanding core theory, using the concept of the "stranger" - that is, anyone who is met from the first time, such as someone from another cultural group, and the assumptions we automatically make about that person. It also examines the cultural, sociocultural, psychocultural and environmental influences on intercultural communication, and shows readers how to decode "messages" others send, both verbal and nonverbal. This edition includes new coverage of interpersonal relationships and conflict across cultures, and concludes with an entirely new chapter on building community through diversity including a discussion of ethics. Finally, there is an extended discussion of ethnic identity and and coverage of uncertainty and anxiety reduction, of mindfulness and of the sources of communication behaviour.
LCSH: Intercultural communication
RSWK: Kulturkontakt (HBZ)
BK: 05.12 / Kommunikationsprozesse ; 71.52 / Kulturelle Prozesse
DDC: 302.2 (BL) ; 303.48/2 / dc20 (LoC)
LCC: HM258.G84 1992