-
Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013)
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- Content
- Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
-
Losee, R.M.: Term dependence : a basis for Luhn and Zipf models (2001)
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- Abstract
- There are regularities in the statistical information provided by natural language terms about neighboring terms. We find that when phrase rank increases, moving from common to less common phrases, the value of the expected mutual information measure (EMIM) between the terms regularly decreases. Luhn's model suggests that midrange terms are the best index terms and relevance discriminators. We suggest reasons for this principle based on the empirical relationships shown here between the rank of terms within phrases and the average mutual information between terms, which we refer to as the Inverse Representation- EMIM principle. We also suggest an Inverse EMIM term weight for indexing or retrieval applications that is consistent with Luhn's distribution. An information theoretic interpretation of Zipf's Law is provided. Using the regularity noted here, we suggest that Zipf's Law is a consequence of the statistical dependencies that exist between terms, described here using information theoretic concepts.
- Object
- Luhn-Modell
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1019-1025
-
Bookstein, A.: Informetric distributions : I. Unified overview (1990)
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- Date
- 22. 7.2006 18:55:29
- Source
- Journal of the American Society for Information Science. 41(1990) no.5, S.368-375
-
Wolfram, D.: Applied informetrics for information retrieval research (2003)
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- Abstract
- The author demonstrates how informetric analysis of information retrieval system content and use provides valuable insights that have applications for the modelling, design, and evaluation of information retrieval systems.
-
Glänzel, W.: Bibliometrics-aided retrieval - where information retrieval meets scientometrics (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015)
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- Footnote
- Editorial zu einem Special Issue "Combining bibliometrics and information retrieval"
-
Wolfram, D.: ¬The symbiotic relationship between information retrieval and informetrics (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Abbasi, M. K.; Frommholz, I.: Cluster-based polyrepresentation as science modelling approach for information retrieval (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
White, H. D.: Co-cited author retrieval and relevance theory : examples from the humanities (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Della Mea, V.; Demartini, G.; Di Gaspero, L.; Mizzaro, S.: Measuring retrieval effectiveness with Average Distance Measure (ADM) (2006)
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- Abstract
- Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this paper, we describe an information retrieval effectiveness measure named ADM (Average Distance Measure) that questions these assumptions. We compare ADM with other measures, discuss it from a conceptual point of view, and report some experimental results. Both conceptual analysis and experimental evidence demonstrate ADM adequacy in measuring the effectiveness of information retrieval systems.
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.433-443
-
Bookstein, A.; Raita, T.: Discovering term occurence structure in text (2001)
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- Abstract
- This article examines some consequences for information control of the tendency of occurrences of contentbearing terms to appear together, or clump. Properties of previously defined clumping measures are reviewed and extended, and the significance of these measures for devising retrieval strategies discussed. A new type of clumping measure, which extends the earlier measures by permitting gaps within a clump, is defined, and several variants examined. Experiments are carried out that indicate the relation between the new measure and one of the earlier measures, as well as the ability of the two types of measure to predict compression efficiency
- Date
- 29. 9.2001 14:00:18
- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.6, S.476-486
-
Ding, Y.: Applying weighted PageRank to author citation networks (2011)
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- Abstract
- This article aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science. Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal component analysis was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures
- Date
- 22. 1.2011 13:02:21
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.236-245
-
Karlsson, A.; Hammarfelt, B.; Steinhauer, H.J.; Falkman, G.; Olson, N.; Nelhans, G.; Nolin, J.: Modeling uncertainty in bibliometrics and information retrieval : an information fusion approach (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Harter, S.P.: Colinked descriptors (1993)
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- Abstract
- Reports the preliminary results of an investigation into the effectiveness of colinked descriptors, a new concept and technique suitable for incorporating into the design of interfaces for information retrieval. The idea is borrowed from the analogous idea in bibliometrics-cocited references. Preliminary results suggest that the technique is extremely effective. As a retrieval technique, colinked descriptors can easily be incorporated into information retrieval interfaces, front-end systems, or standalone, pre-search systems
- Imprint
- Medford, NJ : Learned Information
- Source
- Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
-
Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Henzler, R.G.: Informetrische Auswertungen bei der Online-Retrieval-Praxis (1982)
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- Source
- Deutscher Dokumentartag 1981, Mainz, 5.-8.10.1981: Kleincomputer in Information und Dokumentation. Bearb.: H. Strohl-Goebel
-
Ding, Y.: Visualization of intellectual structure in information retrieval : author cocitation analysis (1998)
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- Abstract
- Reports results of a cocitation analysis study from the international retrieval research field from 1987 to 1997. Data was taken from Social SciSearch, via Dialog, and the top 40 authors were submitted to author cocitation analysis to yield the intellectual structure of information retrieval. The resulting multidimensional scaling map revealed: identifiable author groups for information retrieval; location of these groups with respect to each other; extend of centrality and peripherality of authors within groups, proximities of authors within groups and across group boundaries; and the meaning of the axes of the map. Factor analysis was used to reveal the extent of the authors' research areas and statistical routines included: ALSCAL; clustering analysis and factor analysis
- Source
- International forum on information and documentation. 23(1998) no.1, S.25-36
-
Ding, Y.; Chowdhury, G.C.; Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis (2001)
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- Source
- Information processing and management. 37(2001) no.6, S.817-842
-
Zitt, M.: Meso-level retrieval : IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
-
Menczer, F.: Lexical and semantic clustering by Web links (2004)
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- Abstract
- Recent Web-searching and -mining tools are combining text and link analysis to improve ranking and crawling algorithms. The central assumption behind such approaches is that there is a correiation between the graph structure of the Web and the text and meaning of pages. Here I formalize and empirically evaluate two general conjectures drawing connections from link information to lexical and semantic Web content. The link-content conjecture states that a page is similar to the pages that link to it, and the link-cluster conjecture that pages about the same topic are clustered together. These conjectures are offen simply assumed to hold, and Web search tools are built an such assumptions. The present quantitative confirmation sheds light an the connection between the success of the latest Web-mining techniques and the small world topology of the Web, with encouraging implications for the design of better crawling algorithms.
- Date
- 9. 1.2005 19:20:29
- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1261-1269
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
