Linked tag: image annotation using semantic relationships between image tags

详细信息    查看全文

• 作者：Dong-Hyuk Im (1)
  Geun-Duk Park (1)
  
  1. Department of Computer and Information Engineering ; Hoseo University ; 20 Hoseo-roigil ; Baebang-eup ; Asan-si ; Chungnam ; 336-795 ; Republic of Korea
  
• 关键词：Image annotation ; Image retrieval ; RDF ; Ontology ; SPARQL ; Tag ranking
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：74
• 期：7
• 页码：2273-2287
• 全文大小：1,981 KB
• 参考文献：1. Bizer, C, Heath, T, Berners-Lee, T (2009) Linked data 鈥?the story so far. Int J Semant Web Inf 5: pp. 1-22 CrossRef
  2. Bizer, C, Lehmann, J, Kobilarov, G, Auer, S, Becker, C, Cyganiak, R, Hellmann, S (2009) DBPedia 鈥?A crystallization point for the web of data. J Web Semant 7: pp. 154-165 CrossRef
  3. Carroll, J, Bizer, C, Hayes, P, Stickler, P (2011) Named graphs. J Web Semant 3: pp. 247-267 CrossRef
  4. Chen N, Zhou Q-Y, Prasanna V (2012) Understanding web images by object relation network. In: Proceedings of 21st international conference on world wide web. Lyon, pp 291鈥?00
  5. Fadzi S, Setchi R (2010) Semantic approach to image retrieval using statistical models based on a lexical ontology. In: Proceedings of knowledge-based and intelligent information & engineering system. Cardiff, pp 240鈥?50
  6. Hollink L, Schreiber G, Wielemaker J, Wielinga B (2003) Semantic annotation of image collections. In: Proceedings of KCAP. New York, pp 41鈥?8
  7. Im D-H, Park G-D (2013) STAG: semantic image annotation using relationships between tags. In: Proceedings of IEEE ICISA. Pattaya, pp 571鈥?72
  8. Jarvelin, K, Kekalainen, J (2002) Cumulated gain-based evaluation of IR techniques. ACM Trans Inf Syst 20: pp. 422-446 CrossRef
  9. Hong, H-K, Lee, D-H (2013) i-TagRanker: an efficient tag ranking system for image sharing and retrieval using the semantic relationships between tags. Multimed Tool Appl 62: pp. 451-478 CrossRef
  10. Khan, L (2007) Standards for image annotation using semantic web. Comput Stand Inter 29: pp. 196-204 CrossRef
  11. Kleinberg, JM (1999) Authoritative sources in a hyperlinked environment. J ACM 46: pp. 604-632 CrossRef
  12. Klyne G, Carroll JJ (2004) Resource description framework (RDF): concepts and abstract syntax. http://w3c.org/TR/rdf-concepts/, W3C Recommendation
  13. Lancker, W, Deursen, D, Verborgh, R, Walle, R (2013) Semantic media decision taking using N3Logic. Multimed Tool Appl 63: pp. 7-26 CrossRef
  14. Lee K, Kim H, Jang C, Kim H-J (2008) FolksoViz: a subsumption-based folksonomy visualization using wikipedia texts. In: Proceedings of 17th international conference on world wide web. Beijing, pp 1093鈥?094
  15. Lee S-H, Jang G-H, Lee S-H, Jung S-H, Woo Y-T (1997) A content-based image retrieval system using extended SQL in RDBMS. In: Proceedings of ICICS. Singapore, pp 1069鈥?072
  16. Lindstaedt, S, Morzinger, R, Sorschag, R, Pammer, V, Thallinger, G (2009) Automatic image annotation using visual content and folksonomies. Multimed Tool Appl 42: pp. 97-113 CrossRef
  17. Magesh N, Thangaraj P (2011) Semantic image retrieval based on ontology and SPARQL query. In: Proceedings of ICACT. Pyeongchang, pp 12鈥?6
  18. Overell S, Sigurbjornsson B, Zwol R (2009) Classifying tags using open content resources. In: Proceedings of the 2nd ACM conference on web search and data mining. Barcelona, pp 64鈥?3
  19. Prud鈥檋ommeaux E, Seaborne A (2008) SPARQL query language for RDF. http://w3c.org/TR/rdf-sparql-query/, W3C Recommendation
  20. Sun, A, Bhowmick, S, Nguyen, T, Ba, G (2011) Tag-based social image retrieval: an emprirical evaluation. J Am Soc Inf Sci Tec 62: pp. 2364-2381 CrossRef
  21. Toupikov N, Umbrich J, Delbru R, Hausenblas M, Tummarello G (2009) DING! Dataset ranking using formal descriptions. In: Proceedings of the www 2009 workshop on linked data on the web (LDOW2009). Mardrid
  22. Yang J, Matsuo Y, Ishizuka M (2007) Triple tagging: toward bridging folksonomy and semantic web. In: Proceedings of ISWC. Pusan, p 14
  23. Yeung C, Gibbins N, Shadbolt N (2009) Contextualising tags in collaborative tagging systems. In: Proceedings of the 20th ACM conference on hypertext and hypermedia. Torino, pp 251鈥?60
  24. Zhang, X, Li, Z, Chao, L (2013) Improving image tags by exploiting web search results. Multimed Tool Appl 62: pp. 601-631 CrossRef
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

State of the art image tagging systems are limited because they allow users to annotate image tags in noun form, which cannot fully express the semantics of image content. In this paper, we propose Linked Tag, a semi-automatic image annotation system that inserts semantic relationships between tags. The proposed annotation method connects image tags using predicate words that can capture the contexts in which the image tags are used. In particular, we exploit Linked Data such as DBPedia in order to connect the image tags with a property value. Compared with tag-based annotation and ontology-based annotation systems, Linked Tag eliminates a large amount of manual labor and enhances the semantic expression of image content. We also introduce two annotation-based applications on Linked Tag. First, we propose SPARQL query processing for image retrieval, which enables us to express visual appearance as well as semantic information. Second, we propose a novel tag-ranking algorithm based on the link analysis in the RDF annotation graph. Finally, we demonstrate the operation of our proposed system and analyze its efficacy.