A Service-oriented Search framework for full text, geospatial and semantic search
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A Service-oriented Search framework for full text, geospatial and semantic search. / Both, Andreas; Ngomo, Axel Cyrille Ngonga; Usbeck, Ricardo et al.
SEMANTiCS 2014: Proceedings of the 10th International Conference on Semantic Systems. ed. / Harald Sack; Agata Filipowska; Jens Lehmann; Sebastian Hellmann. New York : Association for Computing Machinery, Inc, 2014. p. 65-72 (ACM International Conference Proceeding Series; Vol. 2014-September, No. September).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - A Service-oriented Search framework for full text, geospatial and semantic search
AU - Both, Andreas
AU - Ngomo, Axel Cyrille Ngonga
AU - Usbeck, Ricardo
AU - Lukovnikov, Denis
AU - Lemke, Christiane
AU - Speicher, Maximilian
N1 - Conference code: 10
PY - 2014/9/4
Y1 - 2014/9/4
N2 - Over the last decade, a growing importance of search engines could be observed. An increasing amount of knowledge is exposed and connected within the Linked Open Data Cloud, which raises users' expectations to be able to search for any information that is directly or indirectly contained. However, diverse data types require tailored search functionalities| such as semantic, geospatial and full text search. Hence, using only one data management system will not provide the required functionality at the expected level. In this paper, we will describe search services that provide specific search functionality via a generalized interface inspired by RDF. In addition, we introduce an application layer on top of these services that enables to query them in a unified way. This allows for the implementation of a distributed search that leverages the identification of the optimal search service for each query and subquery. This is achieved by connecting powerful tools like Openlink Virtuoso, ElasticSearch and PostGIS within a single framework.
AB - Over the last decade, a growing importance of search engines could be observed. An increasing amount of knowledge is exposed and connected within the Linked Open Data Cloud, which raises users' expectations to be able to search for any information that is directly or indirectly contained. However, diverse data types require tailored search functionalities| such as semantic, geospatial and full text search. Hence, using only one data management system will not provide the required functionality at the expected level. In this paper, we will describe search services that provide specific search functionality via a generalized interface inspired by RDF. In addition, we introduce an application layer on top of these services that enables to query them in a unified way. This allows for the implementation of a distributed search that leverages the identification of the optimal search service for each query and subquery. This is achieved by connecting powerful tools like Openlink Virtuoso, ElasticSearch and PostGIS within a single framework.
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=84937697748&partnerID=8YFLogxK
U2 - 10.1145/2660517.2660528
DO - 10.1145/2660517.2660528
M3 - Article in conference proceedings
AN - SCOPUS:84937697748
SN - 978-1-4503-2927-9
T3 - ACM International Conference Proceeding Series
SP - 65
EP - 72
BT - SEMANTiCS 2014
A2 - Sack, Harald
A2 - Filipowska, Agata
A2 - Lehmann, Jens
A2 - Hellmann, Sebastian
PB - Association for Computing Machinery, Inc
CY - New York
T2 - 10th International Conference on Semantic Systems, SEMANTiCS 2014
Y2 - 4 September 2014 through 5 September 2014
ER -