Abstract
Digital objects such as images and videos are fundamental resources in digital library. To assist in retrieving such objects usually they are being tagged by some keywords or sentences. The popular approach to tag digital objects is based on associated text. However, relying on associated text alone such as the surrounding text unable to semantically describe such objects. This paper discusses the use of WordNet and ConceptNet to tag digital images beyond terms available in the surrounding text. WordNet is used to disambiguate concepts or terms from the associated text and ConceptNet is meant to infer topics or common-sense knowledge from summarizing the text that describe the images. However, relying on WordNet alone is not sufficed particularly when it comes to disambiguate specific or domain dependent concepts. As such the Name Entity Recognition (NER) technique is required to annotate important entities such as name of a person, location and organization. Our work focused on on-lines news images that are richly described with textual description.
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References
Inoue, M.: On the need for annotation-based image retrieval. In: Workshop on Information Retrieval in Context (2004)
Benitez, A.B., Chang, S.-F.: Semantic Knowledge Construction from Annotated Image Collections. In: Proceedings of the 2002 International Conference on Multimedia & Expo (ICME 2002), Lausanne, Switzerland, August 26-29 (2002)
Varelas, G., Voutsakis, E., Raftopoulou, P., Petrakis, E.G.M., Evangelos, E., Milios, E.E.: Semantic similarity methods in WordNet and their application to information retrieval on the web. In: Proceedings of the 7th Annual ACM International Workshop on Web Information and Data Management, pp. 10–16 (2005)
Stokoe, C., Oakes, M.P., Tait, J.: Word Sense Disambiguation in Information Retrieval Revisited. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, Toronto, Canada, pp. 159–166 (2003)
Gong, Z., Cheang, C.W., Leong, H.U.: Web query expansion by WordNet. In: Andersen, K.V., Debenham, J., Wagner, R. (eds.) DEXA 2005. LNCS, vol. 3588, pp. 166–175. Springer, Heidelberg (2005)
Liu, H., Singh, P.: ConceptNet – A Practical Commonsense Reasoning Toolkit. BT Technology Journal 22(4), 211–226 (2004)
Hsu, M.-H., Tsai, M.-F., Chen, H.-H.: Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison. In: Ng, H.T., Leong, M.-K., Kan, M.-Y., Ji, D. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 1–13. Springer, Heidelberg (2006)
Eagle, N., Singh, P., Pentland, A.: Common sense conversations: understanding casual conversation using a common sense database. In: Proceedings of the Artificial Intelligence, Information Access, and Mobile Computing Workshop (2003)
Gong, Z., Leong, H.U., Cheang, C.W.: Web Image Indexing by Using Associated Data. Knowledge and Information Systems 10(2), 243–264 (2006)
Zhigang, H., Wang, X.-J., Lui, Q., Lu, H.: Semantic Knowledge Extraction and Annotation for Web Image. In: Proceedings of the 13th annual ACM international conference on Multimedia, Singapore, pp. 467–470 (2005)
Kahn, C.E., Rubin, D.L.: Automated Semantic Indexing of Figure Captions to Improve Radiology Image Retrieval. J. Am. Med. Inform. Assoc. 16, 380–386 (2009)
Edwardes, A.J., Purves, R.S.: Eliciting Concepts of Place for Text-based Image Retrieval. In: The 4th Workshop on Geographic Information Retrieval, pp. 15–17 (2007)
Deschacht, K., Moens, M.-F.: Text Analysis for Automatic Image Annotation. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 1000–1007 (2007)
Feng, Y., Lapata, M.: Automatic Image Annotation Using Auxiliary Text Information. In: Proceedings of ACL 2008: HLT, pp. 272–280 (2008)
Gao, S., Wang, D.-H., Lee, C.-H.: Automatic Image Annotation through Multi-Topic Text Categorization. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, May 14-19, vol. 2, pp. II - II (2006)
Wang, C., Jing, F., Zhang, L., Zhang, H.-J.: Scalable search-based image annotation. Multimedia Systems 14, 205–220 (2008)
Hsu, M.-H., Chen, H.H.: Information Retrieval with Commonsense Knowledge. In: Proceedings of the SIGIR 2006, pp. 651–652 (2006)
Kuo, C.-H., Chou, T.-C., Tsao, N.-L., Lan, Y.-H.: CANFIND: A Semantic Image Indexing and Retrieval System. In: Proceedings of the 2003 International Symposium on Circuits and Systems, ISCAS 2003, vol. 2, pp. 644–647 (2003)
Kawata, K., Sakai, H., Masuyama, S.: QUARK: A Question and Answering System Using Newspaper Corpus as a Knowledge Source. In: Proceeding of the Third NTCIR Workshop (2003)
Liu, H., Lieberman, H.: Robust Photo Retrieval Using World Semantics. In: Proceedings of the LREC 2002 Workshop on Creating and Using Semantics for Information Retrieval and Filtering, Canary Islands (2002)
Sacaleanu, B., Buitelaar, P., Volk, M.: A Cross-Language Document Retrieval System Based on Semantic Annotation. In: Proceedings of the 10th conference on European Chapter of the Association for Computational Linguistics, pp. 231–234 (2003)
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Noah, S.A., Ali, D.A., Alhadi, A.C., Kassim, J.M. (2010). Going Beyond the Surrounding Text to Semantically Annotate and Search Digital Images. In: Nguyen, N.T., Le, M.T., ÅšwiÄ…tek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12145-6_18
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DOI: https://doi.org/10.1007/978-3-642-12145-6_18
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