Efficient evaluation of n-ary conjunctive queries over trees and graphs
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
Xcerpt and visXcerpt: from pattern-based to visual querying of XML and semistructured data
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Web and semantic web query languages: a survey
Proceedings of the First international conference on Reasoning Web
Descriptive typing rules for xcerpt
PPSWR'05 Proceedings of the Third international conference on Principles and Practice of Semantic Web Reasoning
AMaχoS: abstract machine for Xcerpt: architecture
PPSWR'06 Proceedings of the 4th international conference on Principles and Practice of Semantic Web Reasoning
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Applications and services that access Web data are becoming increasingly more useful and wide-spread. Current main-stream Web query languages such as XQuery, XSLT, or SPARQL, however, focus only on one of the different data formats available on the Web. In contrast, Xcerpt is a emphversatile semi-structured query language, i.e., a query language able to access all kinds of Web data such as XML and RDF in the same language reusing common concepts and language constructs. To integrate heterogeneous data and as a foundation for Semantic Web reasoning, Xcerpt also provides rules. Xcerpt has a visual companion language, visXcerpt, that is conceived as a mere rendering of the (textual) query language Xcerpt using a slightly extended CSS. Both languages are demonstrated along a realistic use case integrating XML and RDF data highlighting interesting and unique features. Novel language constructs and optimization techniques are currently under investigation in the Xcerpt project (cf.@ urlhttp://xcerpt.org/).