Affiliation:
1. University of Huddersfield, UK
Abstract
XML has become the standard way for representing and transforming data over the World Wide Web. Moreover, these documents are becoming the way to represent the object used in Mobile-learning technology. The problem with XML documents is that they have a very high ratio of redundancy, which makes these documents demanding large storage capacity and high network band-width for transmission. These documents need to be decompressed and being used without or with minimum decompression. This paper presents the complete testing process for the XML compressing and Querying System (XCVQ) that has the ability to compress the XML documents and retrieve the required information according to all kinds of queries.
Reference31 articles.
1. Al-Hamadani, B. T., Alwan, R. F., Lu, J., & Yip, J. (2009). Vague Content and Structure (VCAS) retrieval for XML Electronic Healthcare Records (EHR). In Proceeding of the International Conference on Internet Computing.
2. A new schema-independent XML compression technique.;B. T.Al-Hamadani;International Journal of Information Retrieval Research
3. Al-Khalifa, S., Jagadish, H., Patel, J., Wu, Y., Koudas, N., & Srivastava, D. (2002). Structural joins: A primitive for efficient XML query pattern matching. In Proceedings of the IEEE 8th International Conference on Data Engineering, San Jose, CA (p. 141).
4. XQueC
5. Arroyuelo, D., Claude, F., Maneth, S., Maakinen, V., Navarro, G., Nguyen, K., & Valimaki, N. (2010). Fast in-memory XPath search using compressed indexes. In Proceedings of the IEEE Twenty-Sixth International Conference on Data Engineering, Long Beach, CA (pp. 417-428).