Data acquisition and handling is known to be one of the most severe technical barriers in (bio-)medical research. In order to counter this problem, we created a generic data acquisition and managing system which can be set up for the given domain of application without the need for programming- or database-skills. The user definitions of the domain data structures are stored into an abstract meta data-model and allow the automatic creation of data-input and -managing interfaces. In order to enable the user to define complex search queries on the data or derive new data out of already existing, a meta-model-guided expression engine was developed. Grammatical and structural meta-data are interwoven in order to provide support in expression generation to the domain expert
| Original language | English |
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| Title of host publication | Intelligent Information and Database Systems |
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| Place of Publication | B |
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| Publisher | Springer |
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| Pages | 1-10 |
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| Number of pages | 10 |
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| Volume | 8397 |
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| Publication status | Published - Jun 2014 |
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| Name | Lecture Notes in Computer Science (LNCS) |
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