Using Nested Tables for Representing and Querying Semistructured Web Data

Representing and Querying Semistructured Web Data Using Nested Tables with Structural Variants

Simulation Unification: Beyond Querying Semistructured Data

This article first reminds of simulation unification, a non-standard unification proposed at the 18th International Conference on Logic Programming (ICLP 2002) for making logic programming capable of querying semistructured data on the Web. This article further argues that, beyond querying semistructured data on the Web, simulation unification has a potential for Web querying of multimedia data...

Flexible SPARQL Querying of Web Data Tables Driven by an Ontology

This paper concerns the design of a workflow which permits to feed and query a data warehouse opened on the Web, driven by a domain ontology. This data warehouse has been built to enrich local data sources and is composed of data tables extracted from Web documents. We recall the main steps of our semi-automatic method to annotate Web data tables driven by a domain ontology. The output of this ...

Representing and Querying Changes and History in Semistructured Data

Semistructured data may be irregular and incomplete and does not necessarily conform to a xed schema. As with structured data, it is often desirable to maintain a history of changes to data, and to query over both the data and the changes. Representing and querying changes in semistructured data is more diicult than in structured data due to the irregularity and lack of schema. We present a mod...

Relational Databases for Querying XML Documents: Limitations and Opportunities

XML is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML documents will be crucial to exploiting the full power of XML. While there has been a great deal of activity recently proposing new semistructured data models and query languages for this purpose, this paper explores th...