In this paper we discuss the management of semi-structured data, i.e., data that has irregular or dynamically changing structure. We describe components of the Stanford Tsimmis Pr...
Joachim Hammer, Jason McHugh, Hector Garcia-Molina
Semistructured data may be irregular and incomplete and does not necessarily conform to a fixed schema. As with structured data, it is often desirable to maintain a history of cha...
Sudarshan S. Chawathe, Serge Abiteboul, Jennifer W...
In this paper, we demonstrate the use of the ESTEST system, which combines the data integration approach with techniques from Information Extraction in order to allow information ...
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
Query performance issues over semi-structured data have led to the emergence of materialised XML views as a means of restricting the data structure processed by a query. However p...