With the advent of XML as a standard for data representation and exchange on the Internet, storing and querying XML data becomes more and more important. Several XML query languages have been proposed, and the common feature of the languages is the use of regular path expressions to query XML

We describe a tool for compressing XML data, with applications in data exchange and archiving, which usually achieves about twice the compression ratio of gzip at roughly the same speed. The compressor, called XMill, incorporates and combines existing compressors in order to apply them

While standardization efforts for XML query languages have been progressing, researchers and users increasingly focus on the database technology that has to deliver on the new challenges that the abundance of XML documents poses to data management: validation, performance evaluation

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XML is rapidly becoming a popular data format. It can be expected that soon large volumes of XML data will exist. XML data is either produced manually (like html documents today), or it is generated by a new generation of software tools for the WWW and/or electronic data interchange (EDI

Abstract—The success of the Internet has made the communication very easy between parties and XML is one of the most used standard for information representation and exchange. A huge amount of data is crossing the Internet on the daily basis. Since the Internet is an unreliable network, XML data

We introduce Natix, an efficient, native repository for storing, retrieving and managing tree-structured large objects, preferably XML documents. In contrast to traditional large object (LOB) managers, we do not split at arbitrary byte positions but take the semantics of the underlying tree

Abstract. The article deals with the methods how to store XML data. We de-scribe possibilities how to store XML data in relational databases, because rela-tional systems are widely used. But XML data are trees, not tables, so the main attention of this article is oriented to native XML databases

This paper presents a brief overview of data management using the Extensible Markup Language (XML). It presents the basics of XML and the DTDs used to constrain XML data, and describes metadata management using RDF. It also discusses how XML data is queried, referenced, and transformed using

The significance of XML technology for sharing data over the Internet is being rapidly recognised. In this paper, we examine the security problems related to XML data and present our approach, the XML Security model, for enforcing security policies in XML based Information systems. Our methodology