Cited By
View all- Im DPark G(2015)Linked tagMultimedia Tools and Applications10.1007/s11042-014-1855-z74:7(2273-2287)Online publication date: 1-Apr-2015
Semantic approach to image retrieval using statistical models based on a lexical ontology
Abstract
The increasing amount of digital images available on the Internet has made searching, browsing, and organizing such resources a major challenge. This paper proposes a semantic approach to text-based image retrieval of manually annotated digital images. The approach uses statistical models based on Semantic DNA (SDNA) extracted from the structure of a lexical ontology called OntoRo. The approach involves three main techniques: (a) SDNA extraction, (b) word sense disambiguation using statistical models based on the extracted SDNA, and (c) applying semantic similarity measures using SDNA. The experiments performed show that the proposed approach retrieves images based on their conceptual meaning rather than the use of specific keywords in their annotations.
References
[1]
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image Retrieval: Ideas, Influences, and Trends of the New Age. ACM Comput. Surv., 1-60 (2008).
[2]
Fellbaum, C.: WordNet: An Electronic Lexical Database. The MIT Press, Cambridge (1998).
[3]
Tang, Q.: Knowledge Management Using Machine Learning, Natural Language Processing and Ontology. Cardiff University, Cardiff (2006).
[4]
Setchi, R., Tang, Q., Bouchard, C.: Ontology-Based Concept Indexing of Images. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds.) Knowledge-Based and Intelligent Information and Engineering Systems. LNCS, vol. 5711, pp. 293-300. Springer, Heidelberg (2009).
[5]
Fadzli, S.A., Setchi, R.: Semantic Approach to Text-based Image Retrieval Using a Lexical Ontology. In: Proc. of the Knowledge Engineering and Emotion Research Int. Conf., Paris, France, March 2-4, pp. 866-876 (2010).
[6]
Sigurbjornsson, B., van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: WWW 2008: Proceeding of the 17th International Conference on World Wide Web, pp. 327-336. ACM Press, New York (2008).
[7]
Garg, N., Weber, I.: Personalized, interactive tag recommendation for flickr. In: RecSys 2008: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 67-74. ACM, New York (2008).
[8]
Takashita, T., Itokawa, T., Kitasuka, T., Aritsugi, M.: Tag Recommendation for Flickr Using Web Browsing Behavior. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds.) ICCSA 2010. LNCS, vol. 6017, pp. 412-421. Springer, Heidelberg (2010).
[9]
Goldstone, R.L., Son, J.: Similarity. In: Holyoak, K., Morrison, R. (eds.) Cambridge Handbook of Thinking and Reasoning, pp. 13-36. Cambridge University Press, Cambridge (2005).
[10]
Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and Application of a Metric on Semantic Nets. IEEE Transactions on Systems, Man and Cybernetics 19(1), 17-30 (1989).
[11]
Leacock, C., Chodorow, M.: Combining Local Context and WordNet Similarity for Word Sense Identification. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database, pp. 265-283. The MIT Press, Cambridge (1998).
[12]
Hirst, G., St-Onge, D.: Lexical Chains as Representations of Context for the Detection and Correction of Malapropisms. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database, pp. 305-332. The MIT Press, Cambridge (1998).
[13]
Resnik, P.: Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In: 14th Int Joint Conf. on AI, Montreal, Canada, pp. 448-453 (1995).
[14]
Jiang, J.J., Conrath, D.W.: Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. In: 10th International Conference on Research on Computational Linguistics, ACL, Taiwan (1997).
[15]
Lin, D.: An Information Theoretic Definition of Similarity. In: International Conference on Machine Learning, Madison, WI (1998).
[16]
Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40(1), 262-282 (2007).
[17]
Mueller, H., Marchand-Maillet, S., Pun, T.: The truth about Corel--evaluation in image retrieval. In: Lew, M., Sebe, N., Eakins, J.P. (eds.) CIVR 2002. LNCS, vol. 2383, pp. 38- 50. Springer, Heidelberg (2002).
[18]
fotoLIBRA, http://www.fotolibra.com
Recommendations
Toponym disambiguation using ontology-based semantic similarity
PROPOR'12: Proceedings of the 10th international conference on Computational Processing of the Portuguese LanguageWe propose a new heuristic for toponym sense disambiguation, to be used when mapping toponyms in text to ontology concepts, using techniques based on semantic similarity measures. We evaluated the proposed approach using a collection of Portuguese news ...
Ontology-Based Semantic Similarity Approach for Biomedical Dataset Retrieval
Health Information ScienceAbstractOntology-based semantic similarity approaches play an important role in text-similarity task, thanks to its ability of explanation. Ontology-based semantic similarity approaches can explain how two terms are similar with help of rich knowledge in ...
Knowledge-Based Biomedical Word Sense Disambiguation: An Evaluation and Application to Clinical Document Classification
HISB '12: Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems BiologyMotivation: Word Sense Disambiguation (WSD) methods automatically assign an unambiguous concept to an ambiguous term based on context, and are important to many text processing tasks. In this study, we developed and evaluated a knowledge-based WSD ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
September 2010
650 pages
ISBN:3642153836
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 September 2010
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 20 Dec 2024
Other Metrics
Citations
Cited By
View all- Im DPark G(2015)Linked tagMultimedia Tools and Applications10.1007/s11042-014-1855-z74:7(2273-2287)Online publication date: 1-Apr-2015