TY  - JOUR
A1  - Neves, Mariana
A1  - Leser, Ulf
T1  - Question answering for Biology
JF  - Methods : focusing on rapidly developing techniques
N2  - Biologists often pose queries to search engines and biological databases to obtain answers related to ongoing experiments. This is known to be a time consuming, and sometimes frustrating, task in which more than one query is posed and many databases are consulted to come to possible answers for a single fact. Question answering comes as an alternative to this process by allowing queries to be posed as questions, by integrating various resources of different nature and by returning an exact answer to the user. We have surveyed the current solutions on question answering for Biology, present an overview on the methods which are usually employed and give insights on how to boost performance of systems in this domain. (C) 2014 Elsevier Inc. All rights reserved.
KW  - Question answering
KW  - Biomedicine
KW  - Natural language processing
KW  - Data integration
Y1  - 2015
U6  - https://doi.org/10.1016/j.ymeth.2014.10.023
SN  - 1046-2023
SN  - 1095-9130
VL  - 74
SP  - 36
EP  - 46
PB  - Elsevier
CY  - San Diego
ER  - 
TY  - GEN
A1  - Hesse, Günter
A1  - Matthies, Christoph
A1  - Sinzig, Werner
A1  - Uflacker, Matthias
T1  - Adding Value by Combining Business and Sensor Data
BT  - an Industry 4.0 Use Case
T2  - Database Systems for Advanced Applications
N2  - Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data’s full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.
KW  - Industry 4.0
KW  - Internet of Things
KW  - Data integration
Y1  - 2019
SN  - 978-3-030-18590-9
SN  - 978-3-030-18589-3
U6  - https://doi.org/10.1007/978-3-030-18590-9_80
SN  - 0302-9743
SN  - 1611-3349
VL  - 11448
SP  - 528
EP  - 532
PB  - Springer
CY  - Cham
ER  -