Storing Semistructured Data with STOREDAlin

Storing Semistructured Data in Relations

An Analysis of Alternative Methods for Storing Semistructured Data in Relations

DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases

In semistructured databases there is no schema fixed in advance. To provide the benefits of a schema in such environments, we introduce DataGuides: concise and accurate structural summaries of semistructured databases. DataGuides serve as dynamic schemas, generated from the database; they are useful for browsing database structure, formulating queries, storing information such as statistics and...

On Storage Methods for Semistructured Data

Semistructured data (SSD) [1, 17] has emerged as an important research topic in the past decade. It is primarily used in data integration [45, 12], where it is usually inadequate to define a single rigid schema that naturally encompasses all data sources involved. Other applications of SSD include electronic document management [4]; scientific databases, where a well known example is the ACeDB ...

Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems

Community-based collaborative information systems provide the flexibility of storing information without having to adhere to any predefined, rigid schema. However, the stored knowledge lacks common structure, which is crucial in terms of data access and search capability. We present a novel concept for semistructured information systems, which features a dynamic and self-learning schema system ...