Search (24 results, page 1 of 2)

  • × theme_ss:"Social tagging"
  1. Li, D.; Ding, Y.; Sugimoto, C.; He, B.; Tang, J.; Yan, E.; Lin, N.; Qin, Z.; Dong, T.: Modeling topic and community structure in social tagging : the TTR-LDA-Community model (2011) 0.02 
    0.016780771 = product of:
  0.050342314 = sum of:
    0.050342314 = product of:
      0.10068463 = sum of:
        0.10068463 = weight(_text_:networks in 4759) [ClassicSimilarity], result of:
          0.10068463 = score(doc=4759,freq=6.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.45257387 = fieldWeight in 4759, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4759)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    The presence of social networks in complex systems has made networks and community structure a focal point of study in many domains. Previous studies have focused on the structural emergence and growth of communities and on the topics displayed within the network. However, few scholars have closely examined the relationship between the thematic and structural properties of networks. Therefore, this article proposes the Tagger Tag Resource-Latent Dirichlet Allocation-Community model (TTR-LDA-Community model), which combines the Latent Dirichlet Allocation (LDA) model with the Girvan-Newman community detection algorithm through an inference mechanism. Using social tagging data from Delicious, this article demonstrates the clustering of active taggers into communities, the topic distributions within communities, and the ranking of taggers, tags, and resources within these communities. The data analysis evaluates patterns in community structure and topical affiliations diachronically. The article evaluates the effectiveness of community detection and the inference mechanism embedded in the model and finds that the TTR-LDA-Community model outperforms other traditional models in tag prediction. This has implications for scholars in domains interested in community detection, profiling, and recommender systems.
  2. Farkas, M.G.: Social software in libraries : building collaboration, communication, and community online (2007) 0.02 
    0.01644173 = product of:
  0.04932519 = sum of:
    0.04932519 = product of:
      0.09865038 = sum of:
        0.09865038 = weight(_text_:networks in 2364) [ClassicSimilarity], result of:
          0.09865038 = score(doc=2364,freq=4.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.44343 = fieldWeight in 2364, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.046875 = fieldNorm(doc=2364)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    LCSH
    Online social networks
    Subject
    Online social networks
  3. Aparecida Moura, M.; Assis, J.: Social networks, indexing languages and organization of knowledge : a semiotic approach 0.01 
    0.011626059 = product of:
  0.034878176 = sum of:
    0.034878176 = product of:
      0.06975635 = sum of:
        0.06975635 = weight(_text_:networks in 3544) [ClassicSimilarity], result of:
          0.06975635 = score(doc=3544,freq=2.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.31355235 = fieldWeight in 3544, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.046875 = fieldNorm(doc=3544)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
  4. Konkova, E.; Göker, A.; Butterworth, R.; MacFarlane, A.: Social tagging: exploring the image, the tags, and the game (2014) 0.01 
    0.011626059 = product of:
  0.034878176 = sum of:
    0.034878176 = product of:
      0.06975635 = sum of:
        0.06975635 = weight(_text_:networks in 1370) [ClassicSimilarity], result of:
          0.06975635 = score(doc=1370,freq=2.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.31355235 = fieldWeight in 1370, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.046875 = fieldNorm(doc=1370)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Large image collections on the Web need to be organized for effective retrieval. Metadata has a key role in image retrieval but rely on professionally assigned tags which is not a viable option. Current content-based image retrieval systems have not demonstrated sufficient utility on large-scale image sources on the web, and are usually used as a supplement to existing text-based image retrieval systems. We present two social tagging alternatives in the form of photo-sharing networks and image labeling games. Here we analyze these applications to evaluate their usefulness from the semantic point of view, investigating the management of social tagging for indexing. The findings of the study have shown that social tagging can generate a sizeable number of tags that can be classified as in terpretive for an image, and that tagging behaviour has a manageable and adjustable nature depending on tagging guidelines.
  5. Wei, W.; Ram, S.: Utilizing sozial bookmarking tag space for Web content discovery : a social network analysis approach (2010) 0.01 
    0.0109611545 = product of:
  0.03288346 = sum of:
    0.03288346 = product of:
      0.06576692 = sum of:
        0.06576692 = weight(_text_:networks in 1) [ClassicSimilarity], result of:
          0.06576692 = score(doc=1,freq=4.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.29562 = fieldWeight in 1, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.03125 = fieldNorm(doc=1)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    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.
  6. Huang, C.; Fu, T.; Chen, H.: Text-based video content classification for online video-sharing sites (2010) 0.01 
    0.009688382 = product of:
  0.029065145 = sum of:
    0.029065145 = product of:
      0.05813029 = sum of:
        0.05813029 = weight(_text_:networks in 3452) [ClassicSimilarity], result of:
          0.05813029 = score(doc=3452,freq=2.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.26129362 = fieldWeight in 3452, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3452)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    With the emergence of Web 2.0, sharing personal content, communicating ideas, and interacting with other online users in Web 2.0 communities have become daily routines for online users. User-generated data from Web 2.0 sites provide rich personal information (e.g., personal preferences and interests) and can be utilized to obtain insight about cyber communities and their social networks. Many studies have focused on leveraging user-generated information to analyze blogs and forums, but few studies have applied this approach to video-sharing Web sites. In this study, we propose a text-based framework for video content classification of online-video sharing Web sites. Different types of user-generated data (e.g., titles, descriptions, and comments) were used as proxies for online videos, and three types of text features (lexical, syntactic, and content-specific features) were extracted. Three feature-based classification techniques (C4.5, Naïve Bayes, and Support Vector Machine) were used to classify videos. To evaluate the proposed framework, user-generated data from candidate videos, which were identified by searching user-given keywords on YouTube, were first collected. Then, a subset of the collected data was randomly selected and manually tagged by users as our experiment data. The experimental results showed that the proposed approach was able to classify online videos based on users' interests with accuracy rates up to 87.2%, and all three types of text features contributed to discriminating videos. Support Vector Machine outperformed C4.5 and Naïve Bayes techniques in our experiments. In addition, our case study further demonstrated that accurate video-classification results are very useful for identifying implicit cyber communities on video-sharing Web sites.
  7. Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008) 0.01 
    0.008496767 = product of:
  0.0254903 = sum of:
    0.0254903 = product of:
      0.0509806 = sum of:
        0.0509806 = weight(_text_:22 in 2882) [ClassicSimilarity], result of:
          0.0509806 = score(doc=2882,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    Pages
    S.15-22
  8. Naderi, H.; Rumpler, B.: PERCIRS: a system to combine personalized and collaborative information retrieval (2010) 0.01 
    0.0077507063 = product of:
  0.023252118 = sum of:
    0.023252118 = product of:
      0.046504237 = sum of:
        0.046504237 = weight(_text_:networks in 3960) [ClassicSimilarity], result of:
          0.046504237 = score(doc=3960,freq=2.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.2090349 = fieldWeight in 3960, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.03125 = fieldNorm(doc=3960)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Purpose - This paper aims to discuss and test the claim that utilization of the personalization techniques can be valuable to improve the efficiency of collaborative information retrieval (CIR) systems. Design/methodology/approach - A new personalized CIR system, called PERCIRS, is presented based on the user profile similarity calculation (UPSC) formulas. To this aim, the paper proposes several UPSC formulas as well as two techniques to evaluate them. As the proposed CIR system is personalized, it could not be evaluated by Cranfield, like evaluation techniques (e.g. TREC). Hence, this paper proposes a new user-centric mechanism, which enables PERCIRS to be evaluated. This mechanism is generic and can be used to evaluate any other personalized IR system. Findings - The results show that among the proposed UPSC formulas in this paper, the (query-document)-graph based formula is the most effective. After integrating this formula into PERCIRS and comparing it with nine other IR systems, it is concluded that the results of the system are better than the other IR systems. In addition, the paper shows that the complexity of the system is less that the complexity of the other CIR systems. Research limitations/implications - This system asks the users to explicitly rank the returned documents, while explicit ranking is still not widespread enough. However it believes that the users should actively participate in the IR process in order to aptly satisfy their needs to information. Originality/value - The value of this paper lies in combining collaborative and personalized IR, as well as introducing a mechanism which enables the personalized IR system to be evaluated. The proposed evaluation mechanism is very valuable for developers of personalized IR systems. The paper also introduces some significant user profile similarity calculation formulas, and two techniques to evaluate them. These formulas can also be used to find the user's community in the social networks.
  9. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.01 
    0.0075101517 = product of:
  0.022530455 = sum of:
    0.022530455 = product of:
      0.04506091 = sum of:
        0.04506091 = weight(_text_:22 in 2652) [ClassicSimilarity], result of:
          0.04506091 = score(doc=2652,freq=4.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    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
  10. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.01 
    0.0074346713 = product of:
  0.022304013 = sum of:
    0.022304013 = product of:
      0.044608027 = sum of:
        0.044608027 = weight(_text_:22 in 2889) [ClassicSimilarity], result of:
          0.044608027 = score(doc=2889,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    Date
    21. 6.2009 12:22:44
  11. Hammond, T.; Hannay, T.; Lund, B.; Scott, J.: Social bookmarking tools (I) : a general review (2005) 0.01 
    0.0067818677 = product of:
  0.020345602 = sum of:
    0.020345602 = product of:
      0.040691204 = sum of:
        0.040691204 = weight(_text_:networks in 1188) [ClassicSimilarity], result of:
          0.040691204 = score(doc=1188,freq=2.0), product of:
            0.22247115 = queryWeight, product of:
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.047034867 = queryNorm
            0.18290554 = fieldWeight in 1188, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.72992 = idf(docFreq=1060, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1188)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Abstract
    Because, to paraphrase a pop music lyric from a certain rock and roll band of yesterday, "the Web is old, the Web is new, the Web is all, the Web is you", it seems like we might have to face up to some of these stark realities. With the introduction of new social software applications such as blogs, wikis, newsfeeds, social networks, and bookmarking tools (the subject of this paper), the claim that Shelley Powers makes in a Burningbird blog entry seems apposite: "This is the user's web now, which means it's my web and I can make the rules." Reinvention is revolution - it brings us always back to beginnings. We are here going to remind you of hyperlinks in all their glory, sell you on the idea of bookmarking hyperlinks, point you at other folks who are doing the same, and tell you why this is a good thing. Just as long as those hyperlinks (or let's call them plain old links) are managed, tagged, commented upon, and published onto the Web, they represent a user's own personal library placed on public record, which - when aggregated with other personal libraries - allows for rich, social networking opportunities. Why spill any ink (digital or not) in rewriting what someone else has already written about instead of just pointing at the original story and adding the merest of titles, descriptions and tags for future reference? More importantly, why not make these personal 'link playlists' available to oneself and to others from whatever browser or computer one happens to be using at the time? This paper reviews some current initiatives, as of early 2005, in providing public link management applications on the Web - utilities that are often referred to under the general moniker of 'social bookmarking tools'. There are a couple of things going on here: 1) server-side software aimed specifically at managing links with, crucially, a strong, social networking flavour, and 2) an unabashedly open and unstructured approach to tagging, or user classification, of those links.
  12. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.01 
    0.0063725756 = product of:
  0.019117726 = sum of:
    0.019117726 = product of:
      0.038235452 = sum of:
        0.038235452 = weight(_text_:22 in 3387) [ClassicSimilarity], result of:
          0.038235452 = score(doc=3387,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    Date
    1. 8.2010 12:35:22
  13. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.01 
    0.0063725756 = product of:
  0.019117726 = sum of:
    0.019117726 = product of:
      0.038235452 = sum of:
        0.038235452 = weight(_text_:22 in 3601) [ClassicSimilarity], result of:
          0.038235452 = score(doc=3601,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    Date
    10. 9.2000 17:38:22
  14. Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009) 0.01 
    0.0063725756 = product of:
  0.019117726 = sum of:
    0.019117726 = product of:
      0.038235452 = sum of:
        0.038235452 = weight(_text_:22 in 3602) [ClassicSimilarity], result of:
          0.038235452 = score(doc=3602,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    Date
    10. 9.2000 17:38:22
  15. Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011) 0.01 
    0.0063725756 = product of:
  0.019117726 = sum of:
    0.019117726 = product of:
      0.038235452 = sum of:
        0.038235452 = weight(_text_:22 in 164) [ClassicSimilarity], result of:
          0.038235452 = score(doc=164,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    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
  16. Danowski, P.: Authority files and Web 2.0 : Wikipedia and the PND. An Example (2007) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 1291) [ClassicSimilarity], result of:
          0.031862877 = score(doc=1291,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = 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)
  0.33333334 = coord(1/3)
    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".
  17. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 2648) [ClassicSimilarity], result of:
          0.031862877 = score(doc=2648,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.19345059 = fieldWeight in 2648, 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=2648)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    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
  18. Kim, H.L.; Scerri, S.; Breslin, J.G.; Decker, S.; Kim, H.G.: ¬The state of the art in tag ontologies : a semantic model for tagging and folksonomies (2008) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 2650) [ClassicSimilarity], result of:
          0.031862877 = score(doc=2650,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.19345059 = fieldWeight in 2650, 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=2650)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    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
  19. Yi, K.: Harnessing collective intelligence in social tagging using Delicious (2012) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 515) [ClassicSimilarity], result of:
          0.031862877 = score(doc=515,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.19345059 = fieldWeight in 515, 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=515)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    25.12.2012 15:22:37
  20. Choi, Y.; Syn, S.Y.: Characteristics of tagging behavior in digitized humanities online collections (2016) 0.01 
    0.0053104796 = product of:
  0.015931439 = sum of:
    0.015931439 = product of:
      0.031862877 = sum of:
        0.031862877 = weight(_text_:22 in 2891) [ClassicSimilarity], result of:
          0.031862877 = score(doc=2891,freq=2.0), product of:
            0.1647081 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.047034867 = queryNorm
            0.19345059 = fieldWeight in 2891, 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=2891)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    21. 4.2016 11:23:22

Authors

Years

Languages

  • e 21
  • d 3

Types

  • a 22
  • el 3
  • b 2
  • m 1
  • More… Less…

Themes

Subjects

Classifications