XPloreRank: exploring XML data via you may also like queries

“You May Also Like” Results in Relational Databases

In this position paper, we consider extending relational database systems with a recommendation functionality. In particular, we propose that, along with the results of each query, the user gets additional recommended results that we call “You May Also Like” or Ymal results. We discuss a suite of different approaches to computing Ymal results and exploit one that uses only the database content ...

Blind queries to XML data

A exible query model is presented for well-formed XML documents. Our approach relies on modeling XML documents as labeled graphs and selectively extending their structure by computing fuzzy estimates of the importance of the information they provide, at the gran-ularity of XML tags. The result of such an extension is a fuzzy labeled graph. Query results are subgraphs of this fuzzy labeled graph...

Xquec: Pushing Queries to Compressed XML Data

Initially proposed as a data interchange format, XML aims also at becoming a format for data storage and management. However, XML documents in their textual form are rather verbose and tend to predate disk space, due to the textual and repetitive nature of the XML tags and of several XML types. One solution to this space occupancy problem consists of compressing XML. The XMill project [7] propo...

Object-Oriented Mediator Queries to XML Data

The mediator/wrapper approach is used to integrate data from different databases and other data sources by introducing a middleware virtual database that provides high level abstractions of the integrated data. A framework is presented for querying XML data through such an Object-Oriented (OO) mediator system using an OO query language. The mediator architecture provides the possibility to spec...

Answering XML Queries on Heterogeneous Data Sources