Which of the following best describes a folksonomy in social bookmarking?
Whole set of tags that constitutes an unstructured collaborative knowledge classification scheme in a social tagging system Show
In the context of this work, a multimedia content (e.g., text file, photos, videos, web page) available on the Internet. A resource is generally identified by a Unique Resource Identifier (URI) which enables its access using the REST protocol Social bookmarking system:Web-based systems allowing users to describe resources with tags Social bookmark:Tag in the form of a link to a resource (e.g., web page) that is intentionally stored, and possibly shared, by an identified individual on a social bookmarking system, in which individuals can attach tags Tag:A descriptive keyword entered by a human individual with the objective to describe a resource (e.g., a photo, a web page). It is also called an annotation or user-generated content DefinitionSocial bookmarking systems (SBS) are... This is a preview of subscription content, access via your institution. Buying optionsChapter EUR 29.95 Price includes VAT (Singapore)
eBookEUR 2,193.50Price includes VAT (Singapore)
Hardcover BookEUR 3,499.99Price excludes VAT (Singapore)
Learn about institutional subscriptions Social Bookmarking or Tagging, Fig. 1 Abel F (2008) The benefit of additional semantics in folksonomy systems. In: PIKM ’08: Proceedings of the 2nd PhD workshop on information and knowledge management. ACM, New York, pp 49–56. https://doi.org/10.1145/1458550.1458560 CrossRef Google Scholar Abel F, Henze N, Krause D (2008) Ranking in folksonomy systems: can context help? In: CIKM ‘08: Proceeding of the 17th ACM conference on information and knowledge management. ACM, New York, pp 1429–1430 CrossRef Google Scholar Bao S, Xue G, Wu X, Yu Y, Fei B, Su Z (2007) Optimizing web search using social annotations. In: WWW ’07: Proceedings of the 16th international conference on world wide web. ACM, New York, pp 501–510 CrossRef Google Scholar Bizer C, Lehmann J, Kobilarov G, Auer S, Becker C, Cyganiak R, Hellmann S (2009) Dbpedia – a crystallization point for the web of data. J Web Sem 7(3):154–165 CrossRef Google Scholar Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw ISDN Syst 30(1-7):107–117. https://doi.org/10.1016/S0169-7552(98)00110-X CrossRef Google Scholar Brooks CH, Montanez N (2006) Improved annotation of the blogosphere via autotagging and hierarchical clustering. In: Proceedings of the 15th international conference on world wide web (WWW 2006). Edinburgh, Scotland, pp 625–632 CrossRef Google Scholar Budanitsky A, Hirst G (2006) Evaluating wordnet-based measures of lexical semantic relatedness. Comput Linguist 32(1):13–47. https://doi.org/10.1162/coli.2006.32.1.13 CrossRef MATH Google Scholar Cattuto C, Loreto V, Pietronero L (2006) Semiotic dynamics in online social communities. The European Physical Journal 46:33–37 CrossRef Google Scholar Cattuto C, Benz D, Hotho A, Stumme G (2008) Semantic grounding of tag relatedness in social bookmarking systems. In: ISWC ’08: Proceedings of the 7th international conference on the semantic web. Springer-Verlag, Berlin/Heidelberg, pp 615–631. https://doi.org/10.1007/978-3-540-88564-1_39 CrossRef Google Scholar Delicious social bookmarking system (2003) http://delicious.com Flickr – image and video hosting website (2004) http://flickr.com Gemmell J, Shepitsen A, Mobasher M, Burke R (2008) Personalization in folksonomies based on tag clustering. In: Proceedings of the 6th workshop on intelligent techniques for web personalization and recommender systems Google Scholar Golder SA, Huberman BA (2006a) Usage patterns of collaborative tagging systems. J Inf Sci 32(2):198–208. https://doi.org/10.1177/0165551506062337 CrossRef Google Scholar Gruber T (2007) Ontology of folksonomy: a mash-up of apples and oranges. Int J Semant Web Inf Syst 3(2):1–11 CrossRef Google Scholar Harvesting social knowledge from folksonomies (2006). Novel systems and models Google Scholar Hotho A, Jschke R, Schmitz C, Stumme G (2006) Information retrieval in folksonomies: Search and ranking. In: Proceedings of the 3rd European semantic web conference, LNCS, vol 4011. Springer, Budva/Montenegro, pp 411–426 Google Scholar Java A, Song X, Finin T, Tseng B (2007) Why we Twitter: understanding microblogging usage and communities. In: Proceedings of the joint 9th WEBKDD and 1st SNA-KDD workshop 2007 Google Scholar Jiang J, Conrath D (1997) Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of the international. conference on research in computational linguistics, pp 19–33 Google Scholar Kleinberg JM (1999) Authoritative sources in a hyperlinked environment. J ACM 46(5):604–632. https://doi.org/10.1145/324133.324140 CrossRef MathSciNet MATH Google Scholar Last.fm – music website (2002) http://last.fm Markines B, Cattuto C, Menczer F, Benz D, Hotho A, Stumme G (2009) Evaluating similarity measures for emergent semantics of social tagging. In: WWW ’09: Proceedings of the 18th international conference on world wide web. ACM, New York, pp 641–650. https://doi.org/10.1145/1526709.1526796 CrossRef Google Scholar Mathes A (2004) Folksonomies – cooperative classification and communication through shared metadata. Computer Mediated Communication – LIS590CMC. http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html. Accessed 25 Feb 2013 Mendes PN, Passant A, Kapanipathi P, Sheth AP (2010) Linked open social signals. In: WI-IAT ’10: Proceedings of the 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology – volume 01. IEEE Computer Society, Washington, DC, pp 224–231. https://doi.org/10.1109/WI-IAT.2010.314 CrossRef Google Scholar MetaBrainz Foundation (2001) Musicbrainz – the open music encyclopedia. http://musicbrainz.org Mika P (2007) Ontologies are us: a unified model of social networks and semantics. Web Semant 5(1):5–15. https://doi.org/10.1016/j.websem.2006.11.002 CrossRef Google Scholar Naaman M, Boase J, Lai CH (2010a) Is it really about me?: message content in social awareness streams. In: CSCW ’10: Proceedings of the 2010 ACM conference on computer supported cooperative work. ACM, New York, pp 189–192. https://doi.org/10.1145/1718918.1718953 CrossRef Google Scholar Naaman M, Boase J, Lai CH (2010b) Is it really about me?: message content in social awareness streams. In: CSCW ’10: Proceedings of the 2010 ACM conference on computer supported cooperative work. ACM, New York, pp 189–192. https://doi.org/10.1145/1718918.1718953 CrossRef Google Scholar Plangprasopchok A, Lerman K (2009) Constructing folksonomies from user-specified relations on Flickr. In: Quemada J, Len G, Maarek YS, Nejdl W (eds) WWW. ACM, New York, pp 781–790 CrossRef Google Scholar Qype – local directory service with social networking and user reviews (2006) http://qype.com Google Scholar Rattenbury T, Good N, Naaman M (2007) Towards automatic extraction of event and place semantics from Flickr tags. In: SIGIR ’07: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval. ACM, New York, pp 103–110. https://doi.org/10.1145/1277741.1277762 CrossRef Google Scholar Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: WWW ’10: Proceedings of the 19th international conference on world wide web. ACM, New York, pp 851–860. https://doi.org/10.1145/1772690.1772777 CrossRef Google Scholar Sen S, Lam SK, Rashid AM, Cosley D, Frankowski D, Osterhouse J, Harper FM, Riedl J (2006) Tagging, communities, vocabulary, evolution. In: CSCW ’06: Proceedings of the 2006 20th anniversary conference on computer supported cooperative work. ACM, New York, pp 181–190. https://doi.org/10.1145/1180875.1180904 CrossRef Google Scholar Wikipedia knowledge base (2001) http://wikipedia.org Wu H, Zubair M, Maly K (2006) Harvesting social knowledge from folksonomies. In: Proceedings of the seventeenth conference on hypertext and hypermedia. ACM Press, New York, pp 111–114 CrossRef Google Scholar Xi W, Zhang B, Chen Z, Lu Y, Yan S, Ma WY, Fox EA (2004) Link fusion: a unified link analysis framework for multi-type interrelated data objects. In: WWW ‘04: Proceedings of the 13th international conference on World Wide Web. ACM Press, New York, pp 319–327 CrossRef Google Scholar Yeh I, Karp PD, Noy NF, Altman RB (2003) Knowledge acquisition, consistency checking and concurrency control for gene ontology (go). Bioinformatics 19(2):241–248 CrossRef Google Scholar Yelp – local directory service with social networking and user reviews (2004) http://www.yelp.com Zhou M, Bao S, Wu X, Yu Y (2007) An unsupervised model for exploring hierarchical semantics from social annotations. In: Aberer K, Choi KS, Noy NF, Allemang D, Lee KI, Nixon LJB, Golbeck J, Mika P, Maynard D, Mizoguchi R, Schreiber G, Cudr-Mauroux P (eds) ISWC/ASWC, Springer, Lecture notes in computer science, vol 4825, pp 680–693 Google Scholar Download references Author informationAuthors and Affiliations
Authors
Corresponding authorCorrespondence to Johann Stan . Editor informationEditors and Affiliations
Rights and permissionsReprints and Permissions Copyright information© 2018 Springer Science+Business Media LLC, part of Springer Nature About this entryCite this entryStan, J., Maret, P. (2018). Social Bookmarking or Tagging. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_91 Which of the following best describes social bookmarking?which best describes social bookmarking? It's the sharing and categorization of internet bookmarks by internet users.
What is Folksonomy quizlet?A folksonomy is a system in which users apply public tags to online items to aid them in re-finding those items. This can give rise to a classification system based on those tags and their frequencies, in contrast to a taxonomic classification specified by the owners of the content when it is published.
Which of the following best describe a tag cloud?Which of the following best describes a tag cloud? It is an online repository where only teachers can tag resources. According to advocates of online and blended education, which of the following is a primary advantage of virtual learning? Virtual schools provide needed academic resources for homeschooled students.
What best describes tagging?So tagging means assigning a keyword or phrase that describes the theme of a group of articles, photos, videos, or other types of media files as a way to organize them and access them easily later. A tag can also be used to assign a piece of content to another user.
|