Search (27 results, page 1 of 2)

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Abstract

Informational cities are prototypical cities of the knowledge society. If they are informational world cities, they are new centers of power. According to Manuel Castells (1989), in those cities space of flows (flows of money, power, and information) tend to override space of places. Information and communication technology infrastructures, cognitive infrastructures (as groundwork of knowledge cities and creative cities), and city-level knowledge management are of great importance. Digital libraries provide access to the global explicit knowledge. The informational city consists of creative clusters and spaces for personal contacts to stimulate sharing of implicit information. In such cities, we can observe job polarization in favor of well-trained employees. The corporate structure of informational cities is made up of financial services, knowledge-intensive high-tech industrial enterprises, companies of the information economy, and further creative and knowledge-intensive service enterprises. Weak location factors are facilities for culture, recreational activities, and consumption. Political willingness to create an informational city and e-governance activities are crucial aspects for the development of such cities. This conceptual article frames indicators which are able to mark the degree of "informativeness" of a city. Finally, based upon findings of network economy, we try to explain why certain cities master the transition to informational cities and others (lagging to relative insignificance) do not. The article connects findings of information science and of urbanistics and urban planning.

Date

3. 7.2011 19:22:49

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.5, S.963-986

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Source

Ratio. 22(1980), S.155-164

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Source

Insider. 1995, Nr.4, Juli, S.19-22

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Date

27.11.2005 18:04:22

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Source

Password. 1998, H.10, S.22-28

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Abstract

There are at least three possible ways that documents are distributed by relevance: informetric (power law), inverse logistic, and dichotomous. The nature of the type of distribution has implications for the construction of relevance ranking algorithms for search engines, for automated (blind) relevance feedback, for user behavior when using Web search engines, for combining of outputs of search engines for metasearch, for topic detection and tracking, and for the methodology of evaluation of information retrieval systems.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1126-1129

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Source

Password. 2002, H.6, S.22-25

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Abstract

Scientific documents are more or less important in relation to give subjects and this importance can be measured. An empirical investigation into philosophical information was carried out using a weighting algorithm developed by N. Henrichs which results in a distribution by weighting of documents on an average philosophical subject. With the aid of statistical methods a threshold value can be obtained that separates the important and unimportant documents on a subject. The knowledge of theis threshold value is important for various practical and theoretic questions: providing new possibilities for research strategy in information retrieval; evaluation of the 'titleworthiness' of subjects by comparison of document titles and themes for which the document at hand is important; and making available data on thematic trends for scientific results

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Date

23. 9.2010 11:15:22

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Abstract

Information Markets is a compendium of the i-commerce, the commerce with digital information, content as well as software. Information Markets is a comprehensive overview of the state of the art of economic and information science endeavors on the markets of digital information. It provides a strategic guideline for information providers how to analyse their market environment and how to develop possible strategic actions. It is a book for information professionals, both for students of LIS (Library and Information Science), CIS (Computer and Information Science) or Information Management curricula and for practitioners as well as managers in these fields.

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Abstract

Some documents provoke emotions in people viewing them. Will it be possible to describe emotions consistently and use this information in retrieval systems? We tested collective (statistically aggregated) emotion indexing using images as examples. Considering psychological results, basic emotions are anger, disgust, fear, happiness, and sadness. This study follows an approach developed by Lee and Neal (2007) for music emotion retrieval and applies scroll bars for tagging basic emotions and their intensities. A sample comprising 763 persons tagged emotions caused by images (retrieved from www.Flickr.com) applying scroll bars and (linguistic) tags. Using SPSS, we performed descriptive statistics and correlation analysis. For more than half of the images, the test persons have clear emotion favorites. There are prototypical images for given emotions. The document-specific consistency of tagging using a scroll bar is, for some images, very high. Most of the (most commonly used) linguistic tags are on the basic level (in the sense of Rosch's basic level theory). The distributions of the linguistic tags in our examples follow an inverse power-law. Hence, it seems possible to apply collective image emotion tagging to image information systems and to present a new search option for basic emotions. This article is one of the first steps in the research area of emotional information retrieval (EmIR).

Source

Journal of the American Society for Information Science and Technology. 60(2009) no.5, S.863-876

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Date

22. 9.2014 18:56:46

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Abstract

The author stresses the need for a general, overall theory of cognitive psychological processes for cognitive science. The relevance of the Graz-school theorie on the 'production of ideas' is then examined as an attempt to provide such a framework. In Graz-school, at the beginning of 20th century, representation ('Vorstellung') was the foundational aspect of all the cognitive processes. As an example of an analysis of the origin of representation Stephan Witasek's theory of sensation is surveyed. The explanation of the origin of representations is also theoretically and practically important for cognitive science

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Abstract

Online databases can be used for statistical analysis, creating new information. Discusses 4 methods applied to economic information: time series, rankings, semantic networks, and graphs of information flow

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Abstract

After modeling expert user needs with regard to intellectual property information, we analyze and compare the main providers in this specific information area (Thomson DIALOG, Esp@cenet by the European Patent Office, Questel-Orbit, and STN International) in terms of system content and system functionality. The key question is whether the main providers are able to satisfy these expert user needs. For patent information, some special retrieval features such as chemical structure search (including Markush search), patent family references and citations search, biosequence search, and basic informetric functionality such as ranking, mapping, and visualization of information flows are realized. Considering the results of information science research, the practice of patent information shows unexhausted improvement opportunities (e.g., the application of bibliographic patent coupling and co-patent-citation for mapping patents, patent assignees, and technology specialties). For trademark search, users need multiple truncated search (realized) as well as phonetic search and image retrieval (not realized yet).

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.13, S.1794-1803

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Abstract

Purpose - The object of this empirical research study is emotion, as depicted and aroused in videos. This paper seeks to answer the questions: Are users able to index such emotions consistently? Are the users' votes usable for emotional video retrieval? Design/methodology/approach - The authors worked with a controlled vocabulary for nine basic emotions (love, happiness, fun, surprise, desire, sadness, anger, disgust and fear), a slide control for adjusting the emotions' intensity, and the approach of broad folksonomies. Different users tagged the same videos. The test persons had the task of indexing the emotions of 20 videos (reprocessed clips from YouTube). The authors distinguished between emotions which were depicted in the video and those that were evoked in the user. Data were received from 776 participants and a total of 279,360 slide control values were analyzed. Findings - The consistency of the users' votes is very high; the tag distributions for the particular videos' emotions are stable. The final shape of the distributions will be reached by the tagging activities of only very few users (less than 100). By applying the approach of power tags it is possible to separate the pivotal emotions of every document - if indeed there is any feeling at all. Originality/value - This paper is one of the first steps in the new research area of emotional information retrieval (EmIR). To the authors' knowledge, it is the first research project into the collective indexing of emotions in videos.

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Abstract

Purpose - Many Web 2.0 services (including Library 2.0 catalogs) make use of folksonomies. The purpose of this paper is to cut off all tags in the long tail of a document-specific tag distribution. The remaining tags at the beginning of a tag distribution are considered power tags and form a new, additional search option in information retrieval systems. Design/methodology/approach - In a theoretical approach the paper discusses document-specific tag distributions (power law and inverse-logistic shape), the development of such distributions (Yule-Simon process and shuffling theory) and introduces search tags (besides the well-known index tags) as a possibility for generating tag distributions. Findings - Search tags are compatible with broad and narrow folksonomies and with all knowledge organization systems (e.g. classification systems and thesauri), while index tags are only applicable in broad folksonomies. Based on these findings, the paper presents a sketch of an algorithm for mining and processing power tags in information retrieval systems. Research limitations/implications - This conceptual approach is in need of empirical evaluation in a concrete retrieval system. Practical implications - Power tags are a new search option for retrieval systems to limit the amount of hits. Originality/value - The paper introduces power tags as a means for enhancing the precision of search results in information retrieval systems that apply folksonomies, e.g. catalogs in Library 2.0environments.

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Abstract

Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.

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Abstract

HistCite(TM) is a software tool for analyzing and visualizing direct citation linkages between scientific papers. Its inputs are bibliographic records (with cited references) from "Web of Knowledge" or other sources. Its outputs are various tables and graphs with informetric indicators about the knowledge domain under study. As an example we analyze informetrically the literature about Alexius Meinong, an Austrian philosopher and psychologist. The article shortly discusses the informetric functionality of "Web of Knowledge" and shows broadly the possibilities that HistCite offers to its users (e.g. scientists, scientometricans and science journalists).

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Abstract

The goal of the scientometric analysis presented in this article was to investigate international and regional (i.e., German-language) periodicals in the field of library and information science (LIS). This was done by means of a citation analysis and a reader survey. For the citation analysis, impact factor, citing half-life, number of references per article, and the rate of self-references of a periodical were used as indicators. In addition, the leading LIS periodicals were mapped. For the 40 international periodicals, data were collected from ISI's Social Sciences Citation Index Journal Citation Reports (JCR); the citations of the 10 German-language journals were counted manually (overall 1,494 source articles with 10,520 citations). Altogether, the empirical base of the citation analysis consisted of nearly 90,000 citations in 6,203 source articles that were published between 1997 and 2000. The expert survey investigated reading frequency, applicability of the journals to the job of the reader, publication frequency, and publication preference both for all respondents and for different groups among them (practitioners vs. scientists, librarians vs. documentalists vs. LIS scholars, public sector vs. information industry vs. other private company employees). The study was conducted in spring 2002. A total of 257 questionnaires were returned by information specialists from Germany, Austria, and Switzerland. Having both citation and readership data, we performed a comparative analysis of these two data sets. This enabled us to identify answers to questions like: Does reading behavior correlate with the journal impact factor? Do readers prefer journals with a short or a long half-life, or with a low or a high number of references? Is there any difference in this matter among librarians, documentalists, and LIS scholars?

Source

Journal of the American Society for Information Science and Technology. 55(2004) no.13, S.1155-1168