Meike Klettke

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Using an object-relational data model and an XML datatype, we show how a relevant subset of XML documents and their implied structure can be mapped onto database structures. Besides straight-forward mappings, there are some XML structures that cannot be easily mapped onto database structures. These structures would sometimes result in large database schemas(More)
NoSQL data stores are becoming increasingly popular in application development. These systems are attractive for developers due to their ability to handle large volumes of data, as well as data with a high degree of structural variety. Typically, NoSQL data stores are accessed programmatically. Due to the imminent lack of standardized query languages,(More)
The main objective of database modelling is the design of a database that is correct and can be processed eeciently by a database management system. The eeciency and correctness of a database depends among other things on knowledge about database semantics because semantic constraints are the prerequisite for normalization and restructuring operations.(More)
We present an intelligent information agent that uses semantic methods and natural language processing capabilites in order to gather tourist information from the WWW and present it to the human user in an intuitive, user-friendly way. Thereby, the information agent is designed such that as background knowledge and linguistic coverage increase, its benefits(More)
Although most NoSQL Data Stores are schema-less, information on the structural properties of the persisted data is nevertheless essential during application development. Otherwise, accessing the data becomes simply impractical. In this paper, we introduce an algorithm for schema extraction that is operating outside of the NoSQL data store. Our method is(More)