Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-25T20:47:07.636Z Has data issue: false hasContentIssue false
  • English
  • Français

Quality-protected folksonomy maintenance approaches: a brief survey

Published online by Cambridge University Press:  30 October 2015

Fouzia Jabeen  and
Shah Khusro
Fouzia Jabeen
Affiliation:
Department of Computer Science, University of Peshawar, Peshawar 25120, Pakistan e-mail: [email protected], [email protected]
Shah Khusro
Affiliation:
Department of Computer Science, University of Peshawar, Peshawar 25120, Pakistan e-mail: [email protected], [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Folksonomy gives liberty to its users to freely assign chosen keywords as tags, and this is the main reason behind its popularity. Apart from freedom, this system also reflects the collective intelligence of the crowd. However, this freedom and liberty can degrade quality of the folksonomy. It is required that quality of the folksonomy must remain consistently excellent and does not degrade with the passage of time. This is a survey paper, in which we present a brief survey of the research efforts intended to maintain a quality-protected folksonomy. We have organized our paper by looking at the problem from four aspects namely selection of quality tags, tag management features provided by folksonomy applications, folksonomy cleaning and interoperability of tags across platforms. We conclude our review with some of the interesting research topics, which need to be explored further. Our conclusion will be relevant and beneficial for engineers and designers who aim to design and maintain a quality-protected folksonomy.

Type
Articles
Information
The Knowledge Engineering Review , Volume 30 , Issue 5 , November 2015 , pp. 521 - 544
Copyright
© Cambridge University Press, 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbasi, R. 2011. Query expansion in folksonomies. In Proceedings of the 5th International Conference on Semantic and Digital Media Technologies (SAMT10), 1–16.Google Scholar
Abel, F., Henze, N. & Krause, D. 2008. Ranking in folksonomy systems: can context help? In Proceedings of the 17th ACM Conference on Information and Knowledge Management, 1429–1430. ACM.CrossRefGoogle Scholar
Abel, F., Kawase, R. & Krause, D. 2010. Leveraging multi-faceted tagging to improve search in folksonomy systems. In Proceedings of the 21st ACM Conference on Hypertext and Hypermedia, 299–300.Google Scholar
Al-Khalifa, H. & Davis, H. 2006. Measuring the semantic value of folksonomies. Innovations in Information Technology, 2006, 1–5. IEEE. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4085397.Google Scholar
Al-Khalifa, H. & Davis, H. 2007. Towards better understanding of folksonomic patterns. In Proceedings of the 18th Conference on Hypertext and Hypermedia, 163–166. ACM Press. http://portal.acm.org/citation.cfm?doid=1286240.1286288.Google Scholar
Asch, S. & Solomon, E. 1956. Studies of independence and conformity: a minority of one against a unanimous majority. Psychological Monographs: General and Applied 70(9), 1–70.CrossRefGoogle Scholar
Astrain, J. A., Echarte, F., Crdoba, A. & Villadangos, J. 2009. A tag clustering method to deal with syntactic variations on collaborative social networks. In ICWE 2009, LNCS 5648, 434–441. Springer-Verlag Berlin Heidelberg. http://link.springer.com/chapter/10.1007/978-3-642-02818-2_35.Google Scholar
Bartolini, I., Patella, M. & Romani, C. 2013. SHIATSU: tagging and retrieving videos without worries. Multimedia Tools and Applications 63(2), 357–385.CrossRefGoogle Scholar
Baxter, M. 2009. Reflections from the river—singular plural. http://www.reflectionsfromtheriver.com/tag/singular-plural/.Google Scholar
Benz, D. & Christian, K. 2011. One tag to bind them all: measuring term abstractness in social metadata. In ESWC 2011, Part II, LNCS 6644, 360–374. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Catarino, M. & Baptista, A. 2010. Relating folksonomies with Dublin Core. International Journal of Metadata, Semantics and Ontologies 5(4), 285–295.CrossRefGoogle Scholar
Cattuto, C., Baldassarri, A., Servedio, V. D. P. & Loreto, V. 2007. Vocabulary growth in collaborative tagging systems. CoRR abs/0704.3316. http://arxiv.org/abs/0704.3316.Google Scholar
Cena, F., Carmagnola, F. & Cortassa, O. 2008. Tag interoperability in cultural web-based applications. In Proceedings of the 19th ACM Conference on Hypertext and Hypermedia (HT08), 221–222. http://dl.acm.org/citation.cfm?id=1379135.Google Scholar
Chen, J., Feng, S. & Liu, J. 2014. Topic sense induction from social tags based on non-negative matrix factorization. Information Sciences 280, 16–25.Google Scholar
Choi, Y. & Street, E. D. 2009. Bringing a more accurate user’s perspective into web navigation: facet analysis of folksonomy tags. iConference 2009, University of North Carolina at Chapel Hill.Google Scholar
Chow, K. O., Fan, K. Y. K., Chan, A. Y. K. & Wong, G. T. L. 2009. Content-based tag generation for the grouping of tags. In International Conference on Mobile, Hybrid, and On-line Learning, 7–12. http://www.computer.org/csdl/proceedings/elml/2009/3528/00/3528a007-abs.html.CrossRefGoogle Scholar
Common tag 2014. Common tag. http://www.commontag.org/home.Google Scholar
Cui, B., Han, Q., Yao, J., Zhang, C. & Zhou, Y. 2011. Modeling user expertise in folksonomies by fusing multi-type features. In Proceedings of the 16th International Conference on Database Systems for Advanced Applications, 53–67.Google Scholar
Daglas, S., Kakali, C. & Kakavoulis, D. 2012. A methodology for folksonomy evaluation. In Theory and Practice of Digital Libraries (TPDL 2012), LNCS 7489, 247–259. Springer-Verlag Berlin Heidelberg. http://link.springer.com/chapter/10.1007/978-3-642-33290-6_27.Google Scholar
Damme, C. V., Christiaens, S. & Trog, D. 2008. Methodological approach to determine appropriately annotated resources in narrow folksonomies. In On the Move to Meaningful Internet Systems: OTM 2008 Workshops, Meersman, R., Tari, Z. & Herrero, P. (eds). Springer-Verlag Berlin Heidelberg, 230–237.Google Scholar
Damme, V. D., Hepp, M. & Coenen, T. 2008. Quality metrics for tags of broad folksonomies. In Proceedings of International Conference on Semantic Systems (I-semantics 08), Journal of Universal Computer Science (J.UCS), 118–125.Google Scholar
Dang, V. & Croft, W. B. 2010. Query reformulation using anchor text. In Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, 41–50.Google Scholar
Dattolo, A., Ferrara, F. & Tasso, C. 2010. The role of tags for recommendation: a survey. In 3rd International Conference on Human System Interaction, 548–555. IEEE. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5514515.Google Scholar
Dattolo, A. & Pitassi, E. 2011. Visualizing and managing folksonomies. In Proceedings of the Workshop on Semantic Adaptive Social Web (SASWeb 2011), CEUR Workshop Proceedings 730, 6–14. http://www.academia.edu/2971660/Visualizing_and_Managing_Folksonomies.Google Scholar
Dellschaft, K. & Szomszor, M. 2009. Sense aware searching and exploration with MyTag. In The 8th International Semantic Web Conference (ISWC 2009), 6–7.Google Scholar
Diaz, J. & Tory, M. 2009. An exploratory study of tag-based visual interfaces for searching folksonomies. In Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology, 410–417.Google Scholar
Ding, Y., Jacob, E. & Fried, M. 2010. Upper tag ontology for integrating social tagging data. Journal of the American Society for Information Science and Technology 61(3), 505–521.CrossRefGoogle Scholar
Donghee, Y. & Yongmoo, S. 2010. User-categorized tags to build a structured folksonomy. In Second International Conference on Communication Software and Networks (ICCSN’10), 160–164.Google Scholar
Dotsika, F. 2009. Uniting formal and informal descriptive power: reconciling ontologies with folksonomies. International Journal of Information Management 29(5), 407–415.CrossRefGoogle Scholar
Echarte, F., Astrain, J., Crdoba, J. & Villadangos, J. 2009. Improving folksonomies quality by syntactic tag variations grouping. In Proceedings of the 2009 ACM Symposium on Applied Computing, 1226–1230. http://dl.acm.org/citation.cfm?id=1529559&dl=ACM&coll=DL&CFID=179648186&CFTOKEN=60450037.Google Scholar
Farhan, H. R. & Sanderson, M. 2008. Measuring the quality of an E-Government folksonomy. http://www.seg.rmit.edu.au/mark/publications/my_papers/E-government_Folksonomy.pdf.Google Scholar
Floeck, F., Putzke, J., Steinfels, S., Fischbach, K. & Schoder, D. 2011. Imitation and quality of tags in social bookmarking systems-collective intelligence leading to folksonomies. In On Collective Intelligence: Advances in Intelligent and Soft Computing, Bastiaens, T. J., Baumöl, U. & Krämer, B. J. (eds). Springer Berlin Heidelberg, 76, 75–91. http://link.springer.com/chapter/10.1007/978-3-642-14481-3_7.Google Scholar
Folksonomy Management 2014. Folksonomy Management. http://www.if4it.com/SYNTHESIZED/DISCIPLINES/Folksonomy_Management_Home_Page.html#INTRODUCTION.Google Scholar
Franz, B. & Richardson, J. 2007. http://search.cpan.org/snowhare/Lingua-Stem-0.82/lib/Lingua/Stem.pod.Google Scholar
Ga, D., Zouaq, A., Torniai, C., Jovanovi, J. & Hatala, M. 2011. An approach to folksonomy-based ontology maintenance for learning environments. IEEE Transactions on Learning Technologies 4(4), 301–314.Google Scholar
Geldart, J. & Cummins, S. 2010. The automatic integration of folksonomies with taxonomies using non-axiomatic logic. In Proceedings of Information System Development, 365–372. Springer Science+Business Media.CrossRefGoogle Scholar
Gemmell, J., Schimoler, T., Ramezani, M. & Mobasher, B. 2009. Adapting K-nearest neighbor for tag recommendation in folksonomies. In Proceedings of the 7th Worshop on Intelligent Techniques for Web Personalization and 21th International Joint Conference on Recommender Systems in Conjunction, Artificial Intelligence, Pasadena, California, USA, 51–62.Google Scholar
Gemmell, J. & Shepitsen, A. 2008. Personalization in folksonomies based on tag clustering. In Proceedings of the 6th Workshop on Intelligent Techniques for Web Personalization and Recommender Systems, 37–48. http://www.aaai.org/Papers/Workshops/2008/WS-08-06/WS08-06-005.pdf.Google Scholar
Gendarmi, D., Lanubile, F., Informatica, D. & Orabona, V. E. 2006. Community-driven ontology evolution based on folksonomies. In OTM Workshops 2006, LNCS 4277, 181–188. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
GNU Aspell 2011. GNU Aspell. http://aspell.sourceforge.net/.Google Scholar
Golder, S. & Huberman, B. 2006. Usage patterns of collaborative tagging systems. Journal of Information Science 32(2), 198–208.CrossRefGoogle Scholar
Golov, E., Weller, K. & Peters, I. 2008. TagCare: a personal portable tag repository. In International Semantic Web Conference, 2–3. http://www.phil.hhu.de/fileadmin/Redaktion/Institute/Informationswissenschaft/1227004317iswc2008_t.pdf.Google Scholar
Gupta, M., Li, R., Yin, Z. & Han, J. 2010. Survey on social tagging techniques. SIGKDD Explorations 12(1), 58–72.CrossRefGoogle Scholar
Guy, M. & Tonkin, E. 2006. Folksonomies tidying up tags. D-Lib Magazine, 12(1), Janauary 2006.Google Scholar
Harvey, M., Baillie, M., Ruthven, I. & Elsweiler, D. 2009. Folksonomic tag clouds as an aid to content indexing. CoRR abs/0911.4178. http://arxiv.org/ftp/arxiv/papers/0911/0911.4178.pdf.Google Scholar
Helic, D., Krner, C. & Granitzer, M. 2012. Navigational efficiency of broad vs. narrow folksonomies. In Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 63–72. ACM. http://dl.acm.org/citation.cfm?id=2310008.Google Scholar
Helic, D., Lerman, K., Rey, M., Strohmaier, M. & Trattner, C. 2011. Pragmatic evaluation of folksonomies. In Proceedings of the 20th International Conference on World Wide Web, 417–426. ACM.CrossRefGoogle Scholar
Hepp, M., Bachlechner, D. & Siorpaes, K. 2006. OntoWiki: community-driven ontology engineering and ontology usage based on Wikis. In Proceedings of the 2006 International Symposium on Wikis, 143–144. http://dl.acm.org/citation.cfm?id=1149487.Google Scholar
Herwig, J. 2008. Folksonomy the semantic puzzle. http://blog.semantic-web.at/tag/folksonomy/.Google Scholar
Hong, L., Chi, E. & Budiu, R. 2008. SparTag.us: a low cost tagging system for foraging of web content. In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI08), 65–72. ACM. http://dl.acm.org/citation.cfm?id=1385582.Google Scholar
Hotho, A., Jschke, R., Schmitz, C. & Stumme, G. 2006. FolkRank: a ranking algorithm for folksonomies. In FGIR, 2–5. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.5271&rep=rep1&type=pdf .Google Scholar
Hsueh, P., Melville, P. & Sindhwani, V. 2009. Data quality from crowdsourcing: a study of annotation selection criteria. In Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing, 27–35. http://dl.acm.org/citation.cfm?id=1564137.Google Scholar
Jeong, J. W., Hong, H. K. & Lee, D. H. 2011. i-TagRanker: an efficient tag ranking system for image sharing and retrieval using the semantic relationships between tags. Multimedia Tools and Applications 62(2), 451–478.CrossRefGoogle Scholar
Jin, S., Lin, H. & Su, S. 2009. Query expansion based on folksonomy tag co-occurrence analysis. In Proceedings of IEEE International Conference on Granular Computing (GRC 09), 300–305.Google Scholar
jSongMiner 2014. jSongMiner. http://jmir.sourceforge.net/jSongMiner.html.Google Scholar
Kang, J. & Lerman, K. 2011. Leveraging user diversity to harvest knowledge on the social web. Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE 3rd International Conference on Social Computing (SocialCom), 215–222. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6113117.Google Scholar
Kawase, R. & Herder, E. 2011. Classification of user interest patterns using a virtual folksonomy. In Proceeding of the 11th Annual International ACM/IEEE Joint Conference on Digital libraries (JCDL 11), 105–108. http://portal.acm.org/citation.cfm?doid=1998076.1998095.Google Scholar
Kiu, C. & Tsui, E. 2008. TaxoFolk: a hybrid taxonomy—folksonomy classification for enhanced knowledge navigation. Knowledge Management Research & Practice 8(1), 24–32.CrossRefGoogle Scholar
Knerr, T. 2001. Tagging ontology towards a common ontology for folksonomies, 3–8. http://tagont.googlecode.com/files/TagOntPaper.pdf.Google Scholar
Körner, C., Kern, R. & Strohmaier, M. 2010. Of categorizers and describers: an evaluation of quantitative measures for tagging motivation. In 21st ACM SIGWEB Conference on Hypertext and Hypermedia (HT2010), 157–166. ACM.CrossRefGoogle Scholar
Krestel, R. & Chen, L. 2008. The art of tagging: measuring the quality of tags. In The Semantic Web, 3rd Asian Semantic Web Conference (ASWC 2008), LNCS 5367, 257–271. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Kwak, H., Shin, H., Yoon, J. & Moon, S. 2009. Connecting users with similar interests across multiple web services. In ICWSM, 1–4. http://www.aaai.org/ocs/index.php/ICWSM/09/paper/viewPDFInterstitial/189/506.Google Scholar
Laniado, D., Eynard, D. & Colombetti, M. 2007. Using WordNet to turn a folksonomy into a hierarchy of concepts. In Semantic Web Application and Perspectives—Fourth Italian Semantic Web Workshop, 192–201. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.4393&rep=rep1&type=pdf#page=200.Google Scholar
Layne, S. S. 1994. Some issues in the indexing of images. Journal of the American Society for Information Science 45(8), 583–588.3.0.CO;2-N>CrossRefGoogle Scholar
Lee, S., Neve, W. D. & Ro, Y. M. 2010. Tag refinement in an image folksonomy using visual similarity and tag co-occurrence statistics. Signal Processing: Image Communication 25(10), 761–773.Google Scholar
Lee, S., Neve, W. D. & Ro, Y. M. 2012. Towards data-driven estimation of image tag relevance using visually similar and dissimilar folksonomy images. In Proceedings of the 2012 Workshop on Socially-Aware Multimedia (SAM 2012); held in Conjunction with ACM Multimedia 2012, 3–8. http://www.citeulike.org/user/wmdeneve/article/11007815.Google Scholar
Lee, S. E. & Han, S. S. 2007. Qtag: introducing the qualitative tagging system. In Proceedings of the 18th Conference on Hypertext and Hypermedia (HT 07), 35–36. http://dl.acm.org/citation.cfm?id=1286250&dl=ACM&coll=DL&CFID=179648186&CFTOKEN=60450037.Google Scholar
Li, J., Ma, Q., Asano, Y. & Yoshikawa, M. 2012. Improving folksonomy tag quality. In WAIM 2012 Workshops, LNCS 7419, 264–275. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Li, X., Snoek, C. G. M. & Worring, M. 2009. Learning social tag relevance by neighbor voting. IEEE Transactions on Multimedia 11(7), 1310–1322.Google Scholar
Limpens, F., Gandon, F. & Buffa, M. 2008. Bridging ontologies and folksonomies to leverage knowledge sharing on the social web: a brief survey. In 23rd IEEE/ACM International Conference on Automated Software Engineering-Workshops (ASE), 13–18. IEEE. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4686305.Google Scholar
Lipczak, M. 2008. Tag recommendation for folksonomies oriented towards individual users. ECML PKDD Discovery Challenge 84. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.183.2330&rep=rep1&type=pdf#page=92.Google Scholar
Liu, D., Zhang, M. W., Yang, Y. & Hong Jiang, X. S. H. 2009. Tag quality improvement for social images. In International Conference on Multimedia and Expo (ICME), 350–353. IEEE.CrossRefGoogle Scholar
Liu, D. & Zhang, X. H. H. 2011. Content-based tag processing for Internet social images. Multimedia Tools and Applications 51(2), 723–738.CrossRefGoogle Scholar
Magnuson, L. 2008. Folksonomies: meaning, discourse, and information retrieval, 1–15. http://www.cais-acsi.ca/proceedings/2009/Magnuson_2009.pdf.Google Scholar
Markines, B., Cattuto, C. & Menczer, F. 2009. Social spam detection. In Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web (AIRWeb09), 41. ACM Press. http://portal.acm.org/citation.cfm?doid=1531914.1531924.Google Scholar
Matthes, F., Neubert, C. & Steinhoff, A. 2012. Structuring folksonomies with implicit tag relations. In Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 315–316. http://dl.acm.org/citation.cfm?id=2310051&dl=ACM&coll=DL&CFID=179648186&CFTOKEN=60450037.Google Scholar
Maurer, B.Mcmillen, C., Abraham, D. & Blum, M. 2008. reCAPTCHA: human-based character recognition via web security measures. Science 321(5895), 1465–1468.Google Scholar
McCarthy, L. & Conners, D. 2006. Folksonomies in action. http://folksonomiesinaction.blogspot.com/.Google Scholar
Mejias, U. 2005. Tag literacy. http://blog.ulisesmejias.com/2005/04/26/tag-literacy/.Google Scholar
Morrison, P. J. 2008. Tagging and searching: search retrieval effectiveness of folksonomies on the World Wide Web. Information Processing & Management 44(4), 1562–1579.CrossRefGoogle Scholar
Muller, M. J. 2007. Comparing tagging vocabularies among four enterprise tag-based services. In Proceedings of the 2007 International ACM Conference on Supporting Group Work, 341–350. ACM Press. http://portal.acm.org/citation.cfm?doid=1316624.1316676.Google Scholar
Nandipati, A. 2011. Assessment of metadata associated with geotag pictures. Masters thesis, University of Muenster.Google Scholar
Nauerz, A., Bakalov, F., Welsch, M. & Birgitta, K. 2009. New tagging paradigms for content recommendation in Web 2. 0 portals. In Workshop on Adaptation and Personalization for Web 2.0, 143–147.Google Scholar
Noh, T., Lee, J., Park, S., Lee, S. & Kim, K. 2010. Tag quality feedback: a framework for quantitative and qualitative feedback on tags of social web. In PRICAI 2010, LNAI 6230, 637–642. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Noll, MG & Gibbins, N. 2009. Telling experts from spammers: expertise ranking in folksonomies. In SIGIR09, 19–23. ACM.CrossRefGoogle Scholar
Noy, N. 2008. Community-based ontology development, alignment, and evaluation. http://kmi.open.ac.uk/events/sssw08/presentations/Noy-SSSW_2008_Noy.pdf.Google Scholar
Pan, J., Taylor, S. & Thomas, E. 2009. Reducing ambiguity in tagging systems with folksonomy search expansion. In Proceedings of the 6th European Conference on the Semantic Web: Research and Applications, 669–683. http://link.springer.com/chapter/10.1007/978-3-642-02121-3_49.Google Scholar
Papadopoulos, S., Vakali, A. & Kompatsiaris, Y. 2011. Community detection in collaborative tagging systems. Community-Built Databases, 107–131. Springer Berlin Heidelberg. http://link.springer.com/chapter/10.1007/978-3-642-19047-6_5.Google Scholar
Pera, M. S. & Lund, W. 2009. Folksonomies and similarity matching. Journal of the American Society for Information Science and Technology 60(7), 1392–1406.CrossRefGoogle Scholar
Perry, S. 2009. Jumper 2.0. http://theology.asin.web.id/IT/tulisan-770/Jumper-2.0-Enterprise_474_theology-asin.html.Google Scholar
Peters, I. 2009. Folksonomies: Indexing and Retrieval in Web 2.0, 1. Walter de Gruyter.CrossRefGoogle Scholar
Peters, I. & Weller, K. 2008. Tag gardening for folksonomy enrichment and maintenance. Webology 5(3), 1–18.Google Scholar
Poorgholami, M., Jalali, M., Rehan, S. & Asgari, T. 2013. Spam detection in social bookmarking websites. IEEE 4th International Conference on Software Engineering and Service Science, 56–59. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6615254.Google Scholar
Quattrone, G., Capra, L., De Meo, P., Ferrara, E. & Ursino, D. 2011. Effective retrieval of resources in folksonomies using a new tag similarity measure. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management, 545–550. http://arxiv.org/abs/1207.6033.Google Scholar
Rásto, K., Tvaroek, M. & Bielikova, M. 2013. Web search results exploration via cluster-based views and zoom-based navigation. Journal of Universal Computer Science 19(15), 2320–2346.Google Scholar
Ravendran, R. 2012. Usability evaluation of a tag-based interface. Journal of Usability Studies 7(4), 143–160.Google Scholar
Rodenhausen, T., Anjorin, M., Garcia, R. D., Rensing, C., Steinmetz, R. & Dominguez, R. 2012. Ranking resources in folksonomies by exploiting semantic information categories and subject descriptors. In Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, 11. ACM.CrossRefGoogle Scholar
Rossi, L. C. D. 2006. Folksonomies: tags strengths, weaknesses and how to make them work. http://www.masternewmedia.org/news/2006/02/01/folksonomies_tags_strengths_weaknesses_and.htm.Google Scholar
Saab, D. J. 2011. An emergent culture model for discerning tag semantics in folksonomies. In Proceedings of the 2011 iConference (iConference11), 552–560. http://portal.acm.org/citation.cfm?doid=1940761.1940837.Google Scholar
Sen, S.Harper, F. M., Lapitz, A. & Riedlet, J. 2007. The quest for quality tags. In Proceedings of the 2007 International ACM Conference on Supporting Group Work, 361–370. ACM. http://www.grouplens.org/system/files/group07-sen.pdf.CrossRefGoogle Scholar
Sen, S., Lam, S. & Rashid, A. 2006. Tagging, communities, vocabulary, evolution. In Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work, 181–190. ACM Press. http://portal.acm.org/citation.cfm?doid=1180875.1180904.Google Scholar
Sen, S., Vig, J. & Riedl, J. 2009. Tagommenders: connecting users to items through tags. In WWW 2009 MADRID! Track: Social Networks and Web 2.0/Session: Recommender Systems, 1–10.Google Scholar
Shvaiko, P. & Euzenat, J. 2008. Ten challenges for ontology matching. In On the Move to Meaningful Internet Systems: (OTM 2008), Meersman, R., Tari, Z. & Herrero, P. (eds). Springer Berlin Heidelberg, 1164–1182.Google Scholar
Sigurbjrnsson, B. & van Zwol, R. 2008. Flickr tag recommendation based on collective knowledge. In Proceeding of the 17th International Conference on World Wide Web (WWW08), 327–336. ACM Press. http://portal.acm.org/citation.cfm?doid=1367497.1367542.Google Scholar
Solskinnsbakk, G., Atle, J., Haderlein, V., Myrseth, P. & Cerrato, O. 2012. Quality of hierarchies in ontologies and folksonomies. Data and Knowledge Engineering 74, 13–25.CrossRefGoogle Scholar
Solskinnsbakk, G. & Gulla, J. 2011. Semantic annotation from social data. In 4th International Workshop Social Data on the Web (SDoW 2011). https://files.ifi.uzh.ch/ddis/iswc_archive/iswc/pps/web/iswc2011.semanticweb.org/fileadmin/iswc/Papers/Workshops/SDoW/sdow2011_paper_3.pdf.Google Scholar
Solskinnsbakk, G. & Gulla, J. A. 2001. Mining tag similarity in folksonomies. In Proceedings of 3rd International Workshop on Search and Mining User-Generated Contents, 53–60.Google Scholar
Sood, S. C., Owsley, S. H., Hammond, K. J. & Birnbaum, L. 2007. TagAssist: automatic tag suggestion for blog posts. In Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007).Google Scholar
Sordo, M.Gouyon, F., Sarmento, L. & Celmaet, O. 2013. Inferring semantic facets of a music folksonomy with Wikipedia. Journal of New Music Research 42(4), 346–363.CrossRefGoogle Scholar
Spiteri, L. 2011. Faceted navigation of social tagging applications. https://www.academia.edu/2374931/Faceted_navigation_of_social_tagging_applications.Google Scholar
Spiteri, L. F. 2007a. Structure and form of folksonomy tags: the road to the public library catalogue. Webology 4(2), article no. 41.Google Scholar
Spiteri, L. F. 2007b. The structure and form of folksonomy tags: the road to the public library catalog. Information Technology and Libraries 26(3), 13–25.CrossRefGoogle Scholar
Stock, W. G. 2007. Folksonomies and science communication. Information Services & Use 27, 97–103.CrossRefGoogle Scholar
Strohmaier, M., Christian, K. & Kern, R. 2009. Why do users tag? Detecting users motivation for tagging in social tagging systems. In Fourth International AAAI Conference on Weblogs and Social Media, 339–342.Google Scholar
Strohmaier, M., Helic, D., Benz, D., Orner, C. K. & Kern, R. 2012a. Evaluation of folksonomy induction algorithms. ACM Transactions on Intelligent Systems and Technology (TIST) 3(4), 74.Google Scholar
Strohmaier, M., Körner, C. & Kern, R. 2012b. Understanding why users tag: a survey of tagging motivation literature and results from an empirical study. Web Semantics (Online) 17(C), 1–11.CrossRefGoogle Scholar
Sturtz, D. N. 2004. Communal categorization: the folksonomy. INFO622 Content Representation. http://davidsturtz.com/drexel/622/communal-categorization-the-folksonomy.html.Google Scholar
Syn, S. Y. & Spring, M. B. 2009. Tags as keywords comparison of the relative quality of tags and keywords. Proceedings of the American Society for Information Science and Technology 46(1), 1–19.CrossRefGoogle Scholar
Szomszor, M., Alani, H., Cantador, I., Hara, K. O. & Shadbolt, N. 2008. Semantic modelling of user interests based on cross-folksonomy analysis. In ISWC 2008, LNCS 5318, 632–648. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Tang, R., Zuo, J., Xu, K., Zheng, J. & Wang, Y. 2010. An intelligent semantic-based tag cleaner for folksonomies. In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS), 773–776. IEEE.Google Scholar
Taylor, A. 2004. The Organization of Information, 2nd edition. Libraries Unlimited.Google Scholar
Trant, J. 2006. Social classification and folksonomy in art museums: early data from the steve.museum tagger prototype. A Paper for the ASIST-CR Social Classification Workshop, 1–27. http://www.archimuse.com/papers/asist-CR-steve-0611.pdf.CrossRefGoogle Scholar
Tudorache, T., Noy, N., Tu, S. & Musen, M. 2008. Supporting collaborative ontology development in Protg. The Semantic Web-ISWC 2008, 17–32. http://link.springer.com/chapter/10.1007/978-3-540-88564-1_2.Google Scholar
Vallet, D., Cantador, I. & Jose, J. M. 2010. Personalizing web search with folksonomy-based user and document profiles. In ECIR 2010, LNCS 5993, 420–431. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Vanderlei, T. & Durão, F. 2007. A cooperative classification mechanism for search and retrieval software components. In Proceedings of the 2007 ACM Symposium on Applied Computing (SAC07), 866–871. ACM Press. http://portal.acm.org/citation.cfm?doid=1244002.1244192.Google Scholar
Veres, C. 2006. Concept modeling by the masses: folksonomy structure and interoperability. In Conceptual Modeling - ER 2006, LNCS 4215, 325–338. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Waltl, B. 2012. Partitioning instead of clustering: an alternative approach for mining structured content in folksonomies. http://www.matthes.informatik.tu-muenchen.de/file/b14ej8z7mffa/sebis-Public-Website/-/Guided-Research-Bernhard-Waltl/Guided-Research-Bernhard-Waltl.pdf.Google Scholar
Wang, J., Hua, X. S. & Li, S. 2009. Tag refinement by regularized LDA. In Proceedings of the 17th ACM International Conference on Multimedia, 573–576. http://dl.acm.org/citation.cfm?id=1631359.Google Scholar
Wang, M., Ni, B., Hua, X. S. & Chua, T. S. 2012. Assistive tagging. ACM Computing Surveys 44(4), 1–24.CrossRefGoogle Scholar
Warden, P. 2007. Can you automatically generate good tags. http://petewarden.com/2007/12/03/can-you-automat/.CrossRefGoogle Scholar
Wei, X.Peng, F. & Dumoulin, B. 2008. Analyzing web text association to disambiguate abbreviation in queries. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 751–752. ACM. http://dl.acm.org/citation.cfm?doid=1390334.1390485.Google Scholar
Wetzker, R. & Bauckhage, C. 2010. I tag, you tag: translating tags for advanced user models. In Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, 71–80. ACM.CrossRefGoogle Scholar
Whatever, S. A. 2009. Knowledge plaza. http://theology.asin.web.id/IT/tulisan-770/Knowledge-Plaza_2639_theology-asin.html .Google Scholar
WordNet 2010. WordNet. http://wordnet.princeton.edu/.Google Scholar
Xia, Z., Peng, J., Feng, X. & Fan, J. 2013. Automatic abstract tag detection for social image tag refinement and enrichment. Journal of Signal Processing Systems 74(1), 5–18.CrossRefGoogle Scholar
Xu, G., Zong, Y., Jin, P., Pan, R. & Wu, Z. 2013. KIPTC: a kernel information propagation tag clustering algorithm. Journal of Intelligent Information Systems 45(1), 1–18. http://link.springer.com/10.1007/s10844-013-0262-7.Google Scholar
Yang, H. & Lee, C. 2011. Identifying spam tags by mining tag semantics. In 3rd International Conference on Data Mining and Intelligent Information Technology Applications (ICMiA), 263–268. http://ir.nuk.edu.tw:8080/ir/bitstream/310360000Q/11836/2/icmia2011.pdf.Google Scholar
Yazdani, S.Ivanow, I., Analoui, M., Berangi, R. & Ebrahimi, T. 2012. Spam fighting in social tagging systems. In Sociinfo 2012, LNCS 7710, 448–461. Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Yoo, D., Choi, K., Suh, Y. & Kim, G. 2013. Building and evaluating a collaboratively built structured folksonomy. Journal of Information Science 39(5), 593–607.CrossRefGoogle Scholar
Yoo, D. & Suh, Y. 2010. User-categorized tags to build a structured folksonomy. In Second International Conference on Communication Software and Networks (ICCSN10), 160–164. IEEE.CrossRefGoogle Scholar
Zanardi, V. & Capra, L. 2008. Social ranking: uncovering relevant content using tag-based recommender systems. In Proceedings of the 2008 ACM Conference on Recommender Systems, 51–58. ACM. http://dl.acm.org/citation.cfm?id=1454018.Google Scholar
Zhang, L., Tang, J. & Zhang, M. 2012. Integrating temporal usage pattern into personalized tag prediction. In Web Technologies and Applications, Sheng, Q. Z., Wang, G., Jensen, C. S. & Xu, G. (eds). LNCS 7235, 354–365.Springer-Verlag Berlin Heidelberg.CrossRefGoogle Scholar
Zhdanova, A. & Shvaiko, P. 2006. Community-driven ontology matching. In The Semantic Web: Research and Applications, Sure, Y. & Domingue, J. (eds). LNCS 4011, 34–49. Springer Berlin Heidelberg. http://link.springer.com/chapter/10.1007/11762256_6.Google Scholar