Research On Extracting XML Semantics And Bootstrapping Ontologies Automatically

As the W3C standard document format for writing and exchanging information on the web, XML has reached a wide acceptance as data exchange format language between internal and external organizations. More and more XML documents have been used for data exchange between internal and external enterprises, such as Web services, Semantic Web etc. However, XML itself only provides syntax and little meanings of XML document content. XML itself does not have the ability to specify meaning of tags and intention of nested structure. Humans can easily understand the information underlying in an XML document, but machine can't process effectively. For machine to access automatically, the XML document must contain formal semantics. An ontology is commonly defined as an explicit, formal specification of a shared conceptualization of a domain of interest. Because developing ontologies from scratch is costly and tedious, extracting semantic information from existing data sources automatically is interesting. In this paper, we present a framework, which constructs specialized domain ontologies by organizing and mining a set of semantic-similar XML documents and generate the RDF meta-data description for every XML document. In support of the generated ontology, semantic interoperability can become easily among multiple XML documents and XML data can be lifted from the syntactic level to the semantic level. In parts this method is useful to alleviate human workload in semantic information acquisition.