Semantic Data Integration and Relationship Identification using the Hierarchical Structure of a Domain-Specific Taxonomy

Stefan Nadschläger; Andreea-Hilda Kosorus; Peter Regner; Josef Küng

Semantic Data Integration and Relationship Identification using the Hierarchical Structure of a Domain-Specific Taxonomy

Stefan Nadschläger
, Andreea-Hilda Kosorus
, Peter Regner
, Josef Küng

Institute for Application-oriented Knowledge Processing

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

Abstract

In this paper we present an architecture for integrating IT-Service-Management-data and a method for relationship identification using a domain-specific taxonomy. This knowledge can be used for semantic data integration by automatically accessing different data sources and identifying dependencies between various IT-Service-items. This can be done by using existing categories and documents to build up a taxonomy, extracting keywords and mapping these keywords to existing data assets. To show the functionality, we created a simple taxonomy and tried to identify the relationships between various assets.

Original language	English
Title of host publication	Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on
Publisher	IEEE
Number of pages	5
Publication status	Published - 2012

Fields of science

102 Computer Sciences
102001 Artificial intelligence

JKU Focus areas

Computation in Informatics and Mathematics

Cite this

@inproceedings{7e990fa38dce474d88785fff3b11e9a5,

title = "Semantic Data Integration and Relationship Identification using the Hierarchical Structure of a Domain-Specific Taxonomy",

abstract = "In this paper we present an architecture for integrating IT-Service-Management-data and a method for relationship identification using a domain-specific taxonomy. This knowledge can be used for semantic data integration by automatically accessing different data sources and identifying dependencies between various IT-Service-items. This can be done by using existing categories and documents to build up a taxonomy, extracting keywords and mapping these keywords to existing data assets. To show the functionality, we created a simple taxonomy and tried to identify the relationships between various assets.",

author = "Stefan Nadschl{\"a}ger and Andreea-Hilda Kosorus and Peter Regner and Josef K{\"u}ng",

year = "2012",

language = "English",

booktitle = "Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on",

publisher = "IEEE",

}

Semantic Data Integration and Relationship Identification using the Hierarchical Structure of a Domain-Specific Taxonomy. / Nadschläger, Stefan; Kosorus, Andreea-Hilda; Regner, Peter et al.
Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on. IEEE, 2012.

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

TY - GEN

T1 - Semantic Data Integration and Relationship Identification using the Hierarchical Structure of a Domain-Specific Taxonomy

AU - Nadschläger, Stefan

AU - Kosorus, Andreea-Hilda

AU - Regner, Peter

AU - Küng, Josef

PY - 2012

Y1 - 2012

N2 - In this paper we present an architecture for integrating IT-Service-Management-data and a method for relationship identification using a domain-specific taxonomy. This knowledge can be used for semantic data integration by automatically accessing different data sources and identifying dependencies between various IT-Service-items. This can be done by using existing categories and documents to build up a taxonomy, extracting keywords and mapping these keywords to existing data assets. To show the functionality, we created a simple taxonomy and tried to identify the relationships between various assets.

AB - In this paper we present an architecture for integrating IT-Service-Management-data and a method for relationship identification using a domain-specific taxonomy. This knowledge can be used for semantic data integration by automatically accessing different data sources and identifying dependencies between various IT-Service-items. This can be done by using existing categories and documents to build up a taxonomy, extracting keywords and mapping these keywords to existing data assets. To show the functionality, we created a simple taxonomy and tried to identify the relationships between various assets.

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BT - Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on

PB - IEEE

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