-
Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011)
0.06
0.06137964 = product of:
0.12275928 = sum of:
0.12275928 = sum of:
0.08093592 = weight(_text_:v in 164) [ClassicSimilarity], result of:
0.08093592 = score(doc=164,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.32293302 = fieldWeight in 164, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.046875 = fieldNorm(doc=164)
0.04182336 = weight(_text_:22 in 164) [ClassicSimilarity], result of:
0.04182336 = score(doc=164,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.23214069 = fieldWeight in 164, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=164)
0.5 = coord(1/2)
- Source
- ¬Die Kraft der digitalen Unordnung: 32. Arbeits- und Fortbildungstagung der ASpB e. V., Sektion 5 im Deutschen Bibliotheksverband, 22.-25. September 2009 in der Universität Karlsruhe. Hrsg: Jadwiga Warmbrunn u.a
-
DeZelar-Tiedman, V.: Doing the LibraryThing(TM) in an academic library catalog (2008)
0.04
0.040919762 = product of:
0.081839524 = sum of:
0.081839524 = sum of:
0.05395728 = weight(_text_:v in 2666) [ClassicSimilarity], result of:
0.05395728 = score(doc=2666,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.21528868 = fieldWeight in 2666, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.03125 = fieldNorm(doc=2666)
0.027882243 = weight(_text_:22 in 2666) [ClassicSimilarity], result of:
0.027882243 = score(doc=2666,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.15476047 = fieldWeight in 2666, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=2666)
0.5 = coord(1/2)
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Kuchler, T.; Pawlowski, J.M.; Zimmermann, V.: Social Tagging and Open Content : a concept for the future of e-learning and knowledge management? (2008)
0.02
0.02023398 = product of:
0.04046796 = sum of:
0.04046796 = product of:
0.08093592 = sum of:
0.08093592 = weight(_text_:v in 2892) [ClassicSimilarity], result of:
0.08093592 = score(doc=2892,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.32293302 = fieldWeight in 2892, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.046875 = fieldNorm(doc=2892)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Braun, S.; Schmidt, A.; Walter, A.; Zacharias, V.: Von Tags zu semantischen Beziehungen : kollaborative Ontologiereifung (2008)
0.02
0.02023398 = product of:
0.04046796 = sum of:
0.04046796 = product of:
0.08093592 = sum of:
0.08093592 = weight(_text_:v in 2896) [ClassicSimilarity], result of:
0.08093592 = score(doc=2896,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.32293302 = fieldWeight in 2896, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.046875 = fieldNorm(doc=2896)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Pammer, V.; Ley, T.; Lindstaedt, S.: tagr: Unterstützung in kollaborativen Tagging-Umgebungen durch semantische und assoziative Netzwerke (2008)
0.02
0.02023398 = product of:
0.04046796 = sum of:
0.04046796 = product of:
0.08093592 = sum of:
0.08093592 = weight(_text_:v in 2898) [ClassicSimilarity], result of:
0.08093592 = score(doc=2898,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.32293302 = fieldWeight in 2898, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.046875 = fieldNorm(doc=2898)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Sun, A.; Bhowmick, S.S.; Nguyen, K.T.N.; Bai, G.: Tag-based social image retrieval : an empirical evaluation (2011)
0.02
0.016861651 = product of:
0.033723302 = sum of:
0.033723302 = product of:
0.067446604 = sum of:
0.067446604 = weight(_text_:v in 4938) [ClassicSimilarity], result of:
0.067446604 = score(doc=4938,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.26911086 = fieldWeight in 4938, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.0390625 = fieldNorm(doc=4938)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Tags associated with social images are valuable information source for superior image search and retrieval experiences. Although various heuristics are valuable to boost tag-based search for images, there is a lack of general framework to study the impact of these heuristics. Specifically, the task of ranking images matching a given tag query based on their associated tags in descending order of relevance has not been well studied. In this article, we take the first step to propose a generic, flexible, and extensible framework for this task and exploit it for a systematic and comprehensive empirical evaluation of various methods for ranking images. To this end, we identified five orthogonal dimensions to quantify the matching score between a tagged image and a tag query. These five dimensions are: (i) tag relatedness to measure the degree of effectiveness of a tag describing the tagged image; (ii) tag discrimination to quantify the degree of discrimination of a tag with respect to the entire tagged image collection; (iii) tag length normalization analogous to document length normalization in web search; (iv) tag-query matching model for the matching score computation between an image tag and a query tag; and (v) query model for tag query rewriting. For each dimension, we identify a few implementations and evaluate their impact on NUS-WIDE dataset, the largest human-annotated dataset consisting of more than 269K tagged images from Flickr. We evaluated 81 single-tag queries and 443 multi-tag queries over 288 search methods and systematically compare their performances using standard metrics including Precision at top-K, Mean Average Precision (MAP), Recall, and Normalized Discounted Cumulative Gain (NDCG).
-
Estrada, L.M.; Hildebrand, M.; Boer, V. de; Ossenbruggen, J. van: Time-based tags for fiction movies : comparing experts to novices using a video labeling game (2017)
0.02
0.016861651 = product of:
0.033723302 = sum of:
0.033723302 = product of:
0.067446604 = sum of:
0.067446604 = weight(_text_:v in 3347) [ClassicSimilarity], result of:
0.067446604 = score(doc=3347,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.26911086 = fieldWeight in 3347, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.0390625 = fieldNorm(doc=3347)
0.5 = coord(1/2)
0.5 = coord(1/2)
-
Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008)
0.01
0.013941121 = product of:
0.027882243 = sum of:
0.027882243 = product of:
0.055764485 = sum of:
0.055764485 = weight(_text_:22 in 2882) [ClassicSimilarity], result of:
0.055764485 = score(doc=2882,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.30952093 = fieldWeight in 2882, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0625 = fieldNorm(doc=2882)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Pages
- S.15-22
-
Wei, W.; Ram, S.: Utilizing sozial bookmarking tag space for Web content discovery : a social network analysis approach (2010)
0.01
0.01348932 = product of:
0.02697864 = sum of:
0.02697864 = product of:
0.05395728 = sum of:
0.05395728 = weight(_text_:v in 1) [ClassicSimilarity], result of:
0.05395728 = score(doc=1,freq=2.0), product of:
0.25062758 = queryWeight, product of:
4.871427 = idf(docFreq=920, maxDocs=44218)
0.051448494 = queryNorm
0.21528868 = fieldWeight in 1, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.871427 = idf(docFreq=920, maxDocs=44218)
0.03125 = fieldNorm(doc=1)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based on tags, as well as following the user-user connections formed in the social bookmarking community. However, the effectiveness of tag-based search is limited due to the lack of explicitly represented semantics in the tag space. In addition, social connections between users are underused for web content discovery because of the inadequate social functions. In this research, we propose a comprehensive framework to reorganize the flat tag space into a hierarchical faceted model. We also studied the structure and properties of various networks emerging from the tag space for the purpose of more efficient web content discovery. The major research approach used in this research is social network analysis (SNA), together with methodologies employed in design science research. The contribution of our research includes: (i) a faceted model to categorize social bookmarking tags; (ii) a relationship ontology to represent the semantics of relationships between tags; (iii) heuristics to reorganize the flat tag space into a hierarchical faceted model using analysis of tag-tag co-occurrence networks; (iv) an implemented prototype system as proof-of-concept to validate the feasibility of the reorganization approach; (v) a set of evaluations of the social functions of the current networking features of social bookmarking and a series of recommendations as to how to improve the social functions to facilitate web content discovery.
-
Knautz, K.; Stock, W.G.: Collective indexing of emotions in videos (2011)
0.01
0.012788574 = product of:
0.025577148 = sum of:
0.025577148 = product of:
0.10230859 = sum of:
0.10230859 = weight(_text_:authors in 295) [ClassicSimilarity], result of:
0.10230859 = score(doc=295,freq=6.0), product of:
0.23454411 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.051448494 = queryNorm
0.43620193 = fieldWeight in 295, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.0390625 = fieldNorm(doc=295)
0.25 = coord(1/4)
0.5 = coord(1/2)
- 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.
-
Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008)
0.01
0.012322327 = product of:
0.024644654 = sum of:
0.024644654 = product of:
0.04928931 = sum of:
0.04928931 = weight(_text_:22 in 2652) [ClassicSimilarity], result of:
0.04928931 = score(doc=2652,freq=4.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.27358043 = fieldWeight in 2652, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=2652)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Pages
- S.14-22
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008)
0.01
0.012198481 = product of:
0.024396962 = sum of:
0.024396962 = product of:
0.048793923 = sum of:
0.048793923 = weight(_text_:22 in 2889) [ClassicSimilarity], result of:
0.048793923 = score(doc=2889,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.2708308 = fieldWeight in 2889, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0546875 = fieldNorm(doc=2889)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 21. 6.2009 12:22:44
-
Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009)
0.01
0.01045584 = product of:
0.02091168 = sum of:
0.02091168 = product of:
0.04182336 = sum of:
0.04182336 = weight(_text_:22 in 3387) [ClassicSimilarity], result of:
0.04182336 = score(doc=3387,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.23214069 = fieldWeight in 3387, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=3387)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 1. 8.2010 12:35:22
-
Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009)
0.01
0.01045584 = product of:
0.02091168 = sum of:
0.02091168 = product of:
0.04182336 = sum of:
0.04182336 = weight(_text_:22 in 3601) [ClassicSimilarity], result of:
0.04182336 = score(doc=3601,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.23214069 = fieldWeight in 3601, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=3601)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 10. 9.2000 17:38:22
-
Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009)
0.01
0.01045584 = product of:
0.02091168 = sum of:
0.02091168 = product of:
0.04182336 = sum of:
0.04182336 = weight(_text_:22 in 3602) [ClassicSimilarity], result of:
0.04182336 = score(doc=3602,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.23214069 = fieldWeight in 3602, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=3602)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Date
- 10. 9.2000 17:38:22
-
Golub, K.; Moon, J.; Nielsen, M.L.; Tudhope, D.: EnTag: Enhanced Tagging for Discovery (2008)
0.01
0.010336881 = product of:
0.020673761 = sum of:
0.020673761 = product of:
0.082695045 = sum of:
0.082695045 = weight(_text_:authors in 2294) [ClassicSimilarity], result of:
0.082695045 = score(doc=2294,freq=2.0), product of:
0.23454411 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.051448494 = queryNorm
0.35257778 = fieldWeight in 2294, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.0546875 = fieldNorm(doc=2294)
0.25 = coord(1/4)
0.5 = coord(1/2)
- Abstract
- Purpose: Investigate the combination of controlled and folksonomy approaches to support resource discovery in repositories and digital collections. Aim: Investigate whether use of an established controlled vocabulary can help improve social tagging for better resource discovery. Objectives: (1) Investigate indexing aspects when using only social tagging versus when using social tagging with suggestions from a controlled vocabulary; (2) Investigate above in two different contexts: tagging by readers and tagging by authors; (3) Investigate influence of only social tagging versus social tagging with a controlled vocabulary on retrieval. - Vgl.: http://www.ukoln.ac.uk/projects/enhanced-tagging/.
-
Rafferty, P.; Hidderley, R.: Flickr and democratic Indexing : dialogic approaches to indexing (2007)
0.01
0.008860183 = product of:
0.017720366 = sum of:
0.017720366 = product of:
0.07088146 = sum of:
0.07088146 = weight(_text_:authors in 752) [ClassicSimilarity], result of:
0.07088146 = score(doc=752,freq=2.0), product of:
0.23454411 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.051448494 = queryNorm
0.30220953 = fieldWeight in 752, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=752)
0.25 = coord(1/4)
0.5 = coord(1/2)
- Abstract
- Purpose - The purpose of this paper is two-fold: to examine three models of subject indexing (i.e. expert-led indexing, author-generated indexing, and user-orientated indexing); and to compare and contrast two user-orientated indexing approaches (i.e. the theoretically-based Democratic Indexing project, and Flickr, a working system for describing photographs). Design/methodology/approach - The approach to examining Flickr and Democratic Indexing is evaluative. The limitations of Flickr are described and examples are provided. The Democratic Indexing approach, which the authors believe offers a method of marshalling a "free" user-indexed archive to provide useful retrieval functions, is described. Findings - The examination of both Flickr and the Democratic Indexing approach suggests that, despite Shirky's claim of philosophical paradigm shifting for social tagging, there is a residing doubt amongst information professionals that self-organising systems can work without there being some element of control and some form of "representative authority". Originality/value - This paper contributes to the literature of user-based indexing and social tagging.
-
Wolfram, D.; Olson, H.A.; Bloom, R.: Measuring consistency for multiple taggers using vector space modeling (2009)
0.01
0.008860183 = product of:
0.017720366 = sum of:
0.017720366 = product of:
0.07088146 = sum of:
0.07088146 = weight(_text_:authors in 3113) [ClassicSimilarity], result of:
0.07088146 = score(doc=3113,freq=2.0), product of:
0.23454411 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.051448494 = queryNorm
0.30220953 = fieldWeight in 3113, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=3113)
0.25 = coord(1/4)
0.5 = coord(1/2)
- Abstract
- A longstanding area of study in indexing is the identification of factors affecting vocabulary usage and consistency. This topic has seen a recent resurgence with a focus on social tagging. Tagging data for scholarly articles made available by the social bookmarking Website CiteULike (www.citeulike.org) were used to test the use of inter-indexer/tagger consistency density values, based on a method developed by the authors by comparing calculations for highly tagged documents representing three subject areas (Science, Social Science, Social Software). The analysis revealed that the developed method is viable for a large dataset. The findings also indicated that there were no significant differences in tagging consistency among the three topic areas, demonstrating that vocabulary usage in a relatively new subject area like social software is no more inconsistent than the more established subject areas investigated. The implications of the method used and the findings are discussed.
-
Kipp, M.E.I.: Tagging of biomedical articles on CiteULike : a comparison of user, author and professional indexing (2011)
0.01
0.008860183 = product of:
0.017720366 = sum of:
0.017720366 = product of:
0.07088146 = sum of:
0.07088146 = weight(_text_:authors in 4557) [ClassicSimilarity], result of:
0.07088146 = score(doc=4557,freq=2.0), product of:
0.23454411 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.051448494 = queryNorm
0.30220953 = fieldWeight in 4557, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=4557)
0.25 = coord(1/4)
0.5 = coord(1/2)
- Abstract
- This paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and professional indexers. User tags, author keywords, and descriptors were collected from academic journal articles, which were both indexed in PubMed and tagged on CiteULike, and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the use of keywords among the three groups in addition to similarities, which can be used to enhance support for search and browse. While tags and author keywords were found that matched descriptors exactly, other terms which did not match but provided important expansion to the indexing lexicon were found. These additional terms could be used to enhance support for searching and browsing in article databases as well as to provide invaluable data for entry vocabulary and emergent terminology for regular updates to indexing systems. Additionally, the study suggests that tags support organisation by association to task, projects, and subject while making important connections to traditional systems which classify into subject categories.
-
Danowski, P.: Authority files and Web 2.0 : Wikipedia and the PND. An Example (2007)
0.01
0.008713201 = product of:
0.017426401 = sum of:
0.017426401 = product of:
0.034852803 = sum of:
0.034852803 = weight(_text_:22 in 1291) [ClassicSimilarity], result of:
0.034852803 = score(doc=1291,freq=2.0), product of:
0.18016386 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.051448494 = queryNorm
0.19345059 = fieldWeight in 1291, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=1291)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Content
- Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
