Web data is characterized by a great structural diversity as well as frequent changes, which poses a great challenge for web applications based on that data. We want to address this problem by developing a schema-optional and flexible data model that supports the integration of heterogenous and volatile web data. Therefore, we want to rely on graph-based models that allow to incrementally extend the schema by various information and constraints. Inspired by the on-going web 2.0 trend, we want users to participate in the design and management of the schema. By incrementally adding structural information, users can enhance the schema to meet their very specific requirements. © 2012 Springer-Verlag.
CITATION STYLE
Braunschweig, K., Thiele, M., & Lehner, W. (2012). A flexible graph-based data model supporting incremental schema design and evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7059 LNCS, pp. 302–306). https://doi.org/10.1007/978-3-642-27997-3_29
Mendeley helps you to discover research relevant for your work.