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: 03. März 2020)
1Huang, M.-H. ; Huang, W.-T. ; Chang, C.-C. ; Chen, D. Z. ; Lin, C.-P.: The greater scattering phenomenon beyond Bradford's law in patent citation.
In: Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1917-1928.
Abstract: Patent analysis has become important for management as it offers timely and valuable information to evaluate R&D performance and identify the prospects of patents. This study explores the scattering patterns of patent impact based on citations in 3 distinct technological areas, the liquid crystal, semiconductor, and drug technological areas, to identify the core patents in each area. The research follows the approach from Bradford's law, which equally divides total citations into 3 zones. While the result suggests that the scattering of patent citations corresponded with features of Bradford's law, the proportion of patents in the 3 zones did not match the proportion as proposed by the law. As a result, the study shows that the distributions of citations in all 3 areas were more concentrated than what Bradford's law proposed. The Groos (1967) droop was also presented by the scattering of patent citations, and the growth rate of cumulative citation decreased in the third zone.
2Hsu, C.-N. ; Chang, C.-H. ; Hsieh, C.-H. ; Lu, J.-J. ; Chang, C.-C.: Reconfigurable Web wrapper agents for biological information integration.
In: Journal of the American Society for Information Science and Technology. 56(2005) no.5, S.505-517.
Abstract: A variety of biological data is transferred and exchanged in overwhelming volumes on the World Wide Web. How to rapidly capture, utilize, and integrate the information on the Internet to discover valuable biological knowledge is one of the most critical issues in bioinformatics. Many information integration systems have been proposed for integrating biological data. These systems usually rely on an intermediate software layer called wrappers to access connected information sources. Wrapper construction for Web data sources is often specially hand coded to accommodate the differences between each Web site. However, programming a Web wrapper requires substantial programming skill, and is time-consuming and hard to maintain. In this article we provide a solution for rapidly building software agents that can serve as Web wrappers for biological information integration. We define an XML-based language called Web Navigation Description Language (WNDL), to model a Web-browsing session. A WNDL script describes how to locate the data, extract the data, and combine the data. By executing different WNDL scripts, we can automate virtually all types of Web-browsing sessions. We also describe IEPAD (Information Extraction Based on Pattern Discovery), a data extractor based on pattern discovery techniques. IEPAD allows our software agents to automatically discover the extraction rules to extract the contents of a structurally formatted Web page. With a programming-by-example authoring tool, a user can generate a complete Web wrapper agent by browsing the target Web sites. We built a variety of biological applications to demonstrate the feasibility of our approach.
Anmerkung: Beitrag in einem special issue on bioinformatics
3Chang, C.-C. ; Wu, T.-C.: Retrieving the most similar symbolic pictures from pictorial databases.
In: Information processing and management. 28(1992) no.5, S.581-588.
Abstract: In this article, an iconic indexing mechanism is suggested for spatial similarity retrieval on iconic image databases based upon the spatial relationships among the objects in a picture. The iconic objects dealt with were some kinds of gross panorama of simple objects
Behandelte Form: Bilder