A Meta-model Guided Expression Engine

Josef Küng; Dominic Girardi; Michael Giretzlehner

doi:10.1007/978-3-319-05476-6_1

A Meta-model Guided Expression Engine

Josef Küng
, Dominic Girardi
, Michael Giretzlehner

Institute for Application-oriented Knowledge Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

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
Title of host publication	Intelligent Information and Database Systems
Place of Publication	B
Publisher	Springer
Pages	1-10
Number of pages	10
Volume	8397 LNAI
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-319-05476-6_1
Publication status	Published - Jun 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)	0302-9743

Fields of science

202007 Computer integrated manufacturing (CIM)
102 Computer Sciences
102001 Artificial intelligence
102006 Computer supported cooperative work (CSCW)
102010 Database systems
102014 Information design
102015 Information systems
102016 IT security
102022 Software development
102025 Distributed systems
502007 E-commerce
505002 Data protection
506002 E-government
509018 Knowledge management

JKU Focus areas

Computation in Informatics and Mathematics

Access to Document

10.1007/978-3-319-05476-6_1

Cite this

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title = "A Meta-model Guided Expression Engine",

abstract = "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",

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year = "2014",

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doi = "10.1007/978-3-319-05476-6\_1",

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A Meta-model Guided Expression Engine. / Küng, Josef; Girardi, Dominic; Giretzlehner, Michael.
Intelligent Information and Database Systems. Vol. 8397 LNAI PART 1. ed. B: Springer, 2014. p. 1-10 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AU - Giretzlehner, Michael

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AB - 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

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A Meta-model Guided Expression Engine

Abstract

Publication series

Fields of science

JKU Focus areas

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Cite this