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)
1Lee, J.-H. ; Park, S. ; Ahn, C.-M. ; Kim, D.: Automatic generic document summarization based on non-negative matrix factorization.
In: Information processing and management. 45(2009) no.1, S.20-34.
Abstract: In existing unsupervised methods, Latent Semantic Analysis (LSA) is used for sentence selection. However, the obtained results are less meaningful, because singular vectors are used as the bases for sentence selection from given documents, and singular vector components can have negative values. We propose a new unsupervised method using Non-negative Matrix Factorization (NMF) to select sentences for automatic generic document summarization. The proposed method uses non-negative constraints, which are more similar to the human cognition process. As a result, the method selects more meaningful sentences for generic document summarization than those selected using LSA.
Themenfeld: Automatisches Abstracting
Objekt: Latent semantic analysis
2Kim, K.-S. ; Kim, S.-C.J. ; Park, S.-J. ; Zhu, X. ; Polparsi, J.: Facet analyses of categories used in Web directories : a comparative study.
Abstract: Faceted classification is believed to be suitable for organizing digital information resources. Based on a faceted classification model suggested for Web resources (Zins, 2002), the current study analyzed popular Web directories from different Asian countries/areas and examined cultural differences reflected in their classification systems. Three popular Web directories from four countries/regions (China, Hong Kong, Korea, and Thailand) were selected and their classifications were analyzed and compared: a local Yahoo and two home-grown Web directories from each country/region. Based on the findings, the study suggests a model that might be more suitable to Asian culture.
Inhalt: Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
3Park, S.: Usability, user preferences, effectiveness, and user behaviors when searching individual and integrated full-text databases : implications for digital libraries.
In: Journal of the American Society for Information Science. 51(2000) no.5, S.456-468.
Abstract: This article addresses a crucial issue in the digital library environment: how to support effective interaction of users with heterogeneous and distributed information resources. In particular, this study compared usability, user preference, effectiveness, and searching behaviors in systems that implement interaction with multiple databases as if they were one (integrated interaction) in a experiment in the TREC environment. 28 volunteers were recruited from the graduate students of the School of Communication, Information & Library Studies at Rutgers University. Significantly more subjects preferred the common interface to the integrated interface, mainly because they could have more control over database selection. Subjects were also more satisfied with the results from the common interface, and performed better with the common interface than with the integrated interface. Overall, it appears that for this population, interacting with databases through a common interface is preferable on all grounds to interacting with databases through an integrated interface. These results suggest that: (1) the general assumption of the information retrieval (IR) literature that an integrated interaction is best needs to be revisited; (2) it is important to allow for more user control in the distributed environment; (3) for digital library purposes, it is important to characterize different databases to support user choice for integration; and (4) certain users prefer control over database selection while still opting for results to be merged
Themenfeld: Benutzerstudien ; Retrievalstudien ; Verteilte bibliographische Datenbanken
4Durfee, E.H. ; Mullen, T. ; Park, S. ; Vidal, J.M. ; Weinstein, P.: Strategic reasoning and adaptation in an information economy.
In: Intelligent information agents: Agent-based information discovery and management on the Internet. Ed.: Matthias Klusch. Berlin : Springer, 1999. S.176-203.
Themenfeld: Information Resources Management
5Burnett, K. ; Ng, K.B. ; Park, S.: ¬A comparison of the two traditions of metadata development.
In: Journal of the American Society for Information Science. 50(1999) no.13, S.1209-1217.
Abstract: Metadata has taken on a more significant role than ever before in the emerging digital library context because the effective organization of networked information clearly depends on the effective management and organization of metadata. The issue of metadata has been approached variously by different intellectual communities. The 2 main approaches may be characterized as: (1) the bibliographic control approach (origins and major proponents in library science); and (2) data management approach (origins and major proponents in computer science). This article examines the different conceptual foundations and orientations of the 2 major approaches contributing to the metadata discussion. An examination of the on-going efforts to establish metadata standards, and comparison of different metadata formats, supports a proposal for an integrated concept of metadata to facilitate the merging of the 2 approaches
6Park, S.-G.: 'Disarticulations' in the information society : barriers to the universal access to information highways in developing countries.
In: International information and library review. 29(1997) no.2, S.189-199.
Abstract: Full benefit may be derived from the technological potential of the Internet on condition that serious attentiion is given to the social, political and ethical aspects, which are often barriers to the free and multi-directional access to information, especially in developing countries. Lists causes of these barriers - 'disarticulations' within a society - and emphasises their importance in developing countries. Examines possible different communication structures in a society and their effects. The traditional principle of free flow of information is not sufficient in the advancing information society; there is a need for a principle which deals more specifically with the 'activation', 'mediation' and 'networking' of the needs and opinions at the different levels of society
Anmerkung: Contribution to an issue devoted to papers from INFOethics, the first International Congress on Ethical, Legal and Societal Aspects of Digital Information, held in Monte Carlo, Principality of Monaco from 10-12 Mar 1997
7Belkin, N.J. ; Cabezas, A. ; Cool, C. ; Kim, K. ; Ng, K.B. ; Park, S. ; Pressman, R. ; Rieh, S. ; Savage, P. ; Xie, H.: Rutgers interactive track at TREC-5.
In: The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1997. S.257-265.
(NIST special publication;)
8Belkin, N.J. ; Cool, C. ; Koenemann, J. ; Ng, K.B. ; Park, S.: Using relevance feedback and ranking in interactive searching.
In: The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1996. S.181-209.
(NIST special publication; 500-236)
9Cortez, E.M. ; Park, S.C. ; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network.
In: Information processing and management. 31(1995) no.6, S.789-813.
Abstract: Traditional information retrieval systems based on Boolean logic suffer from 2 inherent problems: (1) inaccurate or incomplete query representation, and (2) inconsistent indexing. While many researchers have demonstrated that neural networks can solve the incomplete query problems for information retrieval, the inconsistent indexing problem still remains unsolved. In this paper, we present a hybrid methodology of integrating an indictive learning technique with a neural network (connectionist model) in order to solve both inconsistent indexing and incomplete query problems. Since an inductive learning technique has the ability to identify the most significant document index terms with various levels of relationship to their semantic significance, it provides a possible solution to the problem on inconsitent indexing. This paper reports the first phase of research that demonstrates how a neural network augmented by an inductive learning technique results in effective information retrieval performance in the ares that demand flexible inferencing and reasoning when incomplete queries and inconsistent problems are present
10Cortex, E.M. ; Park, S.C. ; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network for intelligent information retrieval.
In: Information processing and management. 31(1995) no.6, S.789-813.
Abstract: Traditional information retrieval systems based on Boolean logic suffer from 2 inherent problems: inaccurate of incomplete query representation, and inconsistent indexing. While many researchers have demonstrated that neural networks can solve the incomplete query problems for information retrieval, the inconsistent indexing problem still remains unsolved. Presents a hybrid methodology of integrating an inductive learning technique with a neural network (connectionist model) in order to solve both inconsistent indexing and incomplete query problems. Since an inductive learning technique has the ability to identify the most significant document index terms with various level of relationship to their semantic significance, it provides a possible solution to the problem of inconsistent indexing. Reports the 1st phase of research that demonstrates how a neural network augmented by an inductive learning technique results in effective information retrieval performance in the areas that demand flexible inferencing and reasoning when incomplete queries and inconsistent indexing problems are present