On-demand Text Analytics and Metadata Management with S4

Marin Dimitrov, Alex Simov, Yavor Petkov

Abstract

Semantic technologies provide a new, promising approach for smart data management and analytics. At the same time, the adoption of an emerging technology is usually limited by factors such as its perceived complexity, cost and performance. Startups and mid-size businesses often have very limited resources to evaluate and prototype with emerging technologies, even if their potential for more efficient data management and analytics is significant. The Self-Service Semantic Suite (S4) provides an integrated platform for cloud-based text analytics and Linked Data management as-a-service, so that companies in the early stage of evaluating and adopting semantic technologies can easily access a full suite of semantic data management and text analytics capabilities for smart data analytics in various domains.

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Paper Citation


in Harvard Style

Dimitrov M., Simov A. and Petkov Y. (2015). On-demand Text Analytics and Metadata Management with S4 . In Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2015) ISBN 978-989-758-110-6, pages 55-62. DOI: 10.5220/0005521400550062


in Bibtex Style

@conference{esaasa15,
author={Marin Dimitrov and Alex Simov and Yavor Petkov},
title={On-demand Text Analytics and Metadata Management with S4},
booktitle={Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2015)},
year={2015},
pages={55-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005521400550062},
isbn={978-989-758-110-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2015)
TI - On-demand Text Analytics and Metadata Management with S4
SN - 978-989-758-110-6
AU - Dimitrov M.
AU - Simov A.
AU - Petkov Y.
PY - 2015
SP - 55
EP - 62
DO - 10.5220/0005521400550062