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)
1Huang, 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.
2Song, J. ; Huang, Y. ; Qi, X. ; Li, Y. ; Li, F. ; Fu, K. ; Huang, T.: Discovering hierarchical topic evolution in time-stamped documents.
In: Journal of the Association for Information Science and Technology. 67(2016) no.4, S.915-927.
Abstract: The objective of this paper is to propose a hierarchical topic evolution model (HTEM) that can organize time-varying topics in a hierarchy and discover their evolutions with multiple timescales. In the proposed HTEM, topics near the root of the hierarchy are more abstract and also evolve in the longer timescales than those near the leaves. To achieve this goal, the distance-dependent Chinese restaurant process (ddCRP) is extended to a new nested process that is able to simultaneously model the dependencies among data and the relationship between clusters. The HTEM is proposed based on the new process for time-stamped documents, in which the timestamp is utilized to measure the dependencies among documents. Moreover, an efficient Gibbs sampler is developed for the proposed HTEM. Our experimental results on two popular real-world data sets verify that the proposed HTEM can capture coherent topics and discover their hierarchical evolutions. It also outperforms the baseline model in terms of likelihood on held-out data.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23439/abstract.
Themenfeld: Data Mining
3Chen, Z. ; Huang, Y. ; Tian, J. ; Liu, X. ; Fu, K. ; Huang, T.: Joint model for subsentence-level sentiment analysis with Markov logic.
In: Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1913-1922.
Abstract: Sentiment analysis mainly focuses on the study of one's opinions that express positive or negative sentiments. With the explosive growth of web documents, sentiment analysis is becoming a hot topic in both academic research and system design. Fine-grained sentiment analysis is traditionally solved as a 2-step strategy, which results in cascade errors. Although joint models, such as joint sentiment/topic and maximum entropy (MaxEnt)/latent Dirichlet allocation, are proposed to tackle this problem of sentiment analysis, they focus on the joint learning of both aspects and sentiments. Thus, they are not appropriate to solve the cascade errors for sentiment analysis at the sentence or subsentence level. In this article, we present a novel jointly fine-grained sentiment analysis framework at the subsentence level with Markov logic. First, we divide the task into 2 separate stages (subjectivity classification and polarity classification). Then, the 2 separate stages are processed, respectively, with different feature sets, which are implemented by local formulas in Markov logic. Finally, global formulas in Markov logic are adopted to realize the interactions of the 2 separate stages. The joint inference of subjectivity and polarity helps prevent cascade errors. Experiments on a Chinese sentiment data set manifest that our joint model brings significant improvements.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23301/abstract.
4Rui, Y. ; Ortega, M. ; Huang, T.S. ; Mehrotra, S.: Information retrieval beyond the text document.
In: Library trends. 48(1999) no.2, S.455-474.
Abstract: With the expansion of the Internet, searching for information goes beyond the boundary of physical libraries. Millions of documents of various media types-such as text, image, video, audio, graphics, and animation-are available around the world and linked by the Internet. Unfortunately, the state of the art of search engines for media types other than text lags far behind their text counterparts. To address this situation, we have developed the Multimedia Analysis and Retrieval System (MARS). This article reports some of the progress made over the years toward exploring information retrieval beyond the text domain. In particular, the following aspects of MARS are addressed in the article: visual feature extraction, retrieval models, query reformulation techniques, efficient execution speed performance, and user interface considerations. Extensive experimental results are reported to validate the proposed approaches.
Behandelte Form: Bilder
5Huang, T. ; Mehrotra, S. ; Ramchandran, K.: Multimedia Access and Retrieval System (MARS) project.
In: Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore. Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Department of Library and Information Science, 1997. S.100-117.
Abstract: Reports results of the MARS project, conducted at Illinois University, to bring together researchers in the fields of computer vision, compression, information management and database systems with the goal of developing an effective multimedia database management system. Describes the first step, involving the design and implementation of an image retrieval system incorporating novel approaches to image segmentation, representation, browsing and information retrieval supported by the developed system. Points to future directions for the MARS project
Themenfeld: Multimedia ; Dokumentenmanagement
Behandelte Form: AV-Materialien