Abstract
With the emergence and development of semantic web, traditional archive service meets a new challenge to provide more intelligent and interactive services for web users. To take good advantage of semantic web technologies, in particular ontology and semantic inference, this paper proposes a semantic search portal for cross-media cultural archives involving document, image, audio and video. With such semantically-enhanced search portal, implicit multimedia archives can be retrieved under the support of ontology modeling and semantic reasoning. Furthermore, the retrieved cross-media archives can be semantically navigated and repacked in a more meaningful and integrated way.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berners-Lee, T., Hendler, J., Lassila, O.: Semantic Web, Scientific America (2001)
China Knowledge Grid Group, Dunhuang Cultural Grid, http://www.culturegrid.net/
Zhang, J., Yan, Z.: Semantic-driven Management and Search for Resource on Research Community. In: Intl. Conf. Semantics, Knowledge and Grid, China (2006)
Yan, Z.: Semantic-based Resource Management, Search and Application, Master Thesis, Institute of Computing Technology, Chinese Academy of Sciences (2006)
Fensel, D.: Ontologies: Silver Bullet for Knowledge Management and Electronic Commerce. Springer, Heidelberg (2001)
Baader, F., et al.: Description Logic Handbook: Theory, Implementation and Application. Cambridge University Press, Cambridge (2002)
Staab, S., Studer, R.: Handbook on Ontologies. Springer, Heidelberg (January 2004)
Bloehdorn, S., et al.: Semantic Annotation of Images and Videos for Multimedia Analysis. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, Springer, Heidelberg (2005)
Hollink, L., et al.: Semantic annotation of image collections. In: The K-CAP 2003 Workshop on Knowledge Markup and Semantic Annotation, Florida (2003)
Celino, I., et al.: Squiggle: a Semantic Search Engine for indexing and retrieval of multimedia content. In: Avrithis, Y., et al. (eds.) SAMT 2006. LNCS, vol. 4306, Springer, Heidelberg (2006)
Worring, M., et al.: The MediaMill semantic video search engine. In: ICASSP 2007, Hawaii, USA (April 2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yan, Z., Scharffe, F., Ding, Y. (2007). Semantic Search on Cross-Media Cultural Archives. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_60
Download citation
DOI: https://doi.org/10.1007/978-3-540-72575-6_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72574-9
Online ISBN: 978-3-540-72575-6
eBook Packages: EngineeringEngineering (R0)