Querying and Ranking XML Documents Based on Data Synopses

Locating XML Documents Using Content and Structure Synopses

In this paper, we present a novel framework for locating schema-less XML documents based on concise data synopses extracted from the documents. We introduce two novel data synopses, content synopsis and positional filter, to summarize the text data in an XML document for the query evaluation. These two data synopses correlate textual with positional information and consider the containment rela...

A synopsis based approach for XML fast approximate querying

XML was born to represent, exchange and publish information on the Web, but now it has spread in many other applications. Due to this success, the W3C has proposed a new query language, XQuery, specifically designed to query XML data. XQuery allows to obtain exact answers to queries; however when applied to large XML repositories or warehouses, such precise queries may require high response tim...

Indexing and Searching XML Documents Based on Content and Structure Synopses

We present a novel framework for indexing and searching schema-less XML documents based on concise summaries of their structural and textual content. Our search query language is XPath extended with full-text search. We introduce two novel data synopsis structures that correlate textual with positional information in an XML document and improves query precision. In addition, we present a two-ph...

Web Retrieval of XML Documents: Practice and Challenges

Web is characterized by a huge amount of very heterogeneous data sources, that differ both in media support and format representation. In this scenario, there is the need of an integrating approach for querying heterogeneous Web documents. To this purpose, XML can play an important role since it is becoming a standard for data representation and exchange over the Web. Due to its flexibility, XM...

Querying and ranking XML documents