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The paper surveys some relevant issues related to data management in pervasive environments. Particularly, it focuses on the compression of semantic annotations for building so called Semantic Web of Things. An approach is proposed to achieve good compression ratios, to maintain compression effectiveness and finally to query compressed data without requiring expensive decompression phases. Experimental...
XML is a de-facto standard for exchanging and presenting information on the Web. However, XML data is also recognized as verbose since it heavily inflates the size of the data due to the repeated tags and structures. The data verbosity problem gives rise to many challenges of conventional query processing and data exchange. Compression techniques are the important way to overcome the verbosity problem...
At present, GML data compression is a hotspot in the fields of geographic information sharing, interoperability. Based on the analysis of characteristics of traditional GML data compression methods, the paper proposed a GML compressor with holistic isomorphic characteristics, which achieves semantic isomorphic compression by constructing index encodings of feature elementspsila tags and achieves spatial...
XML has gained wide popularity for specifying and exchanging data on the WWW. XML is also used to store large amounts of bibliographic and scientific data. However, XML is by nature verbose and this contributes to the fact that XML databases are much large in size, thus increasing the cost for storing and retrieving data in smaller handheld devices which do not have large memory capacity. In order...
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