TY  - JOUR
A1  - Schaub, Torsten H.
A1  - Woltran, Stefan
T1  - Answer set programming unleashed!
JF  - Künstliche Intelligenz
N2  - Answer Set Programming faces an increasing popularity for problem solving in various domains. While its modeling language allows us to express many complex problems in an easy way, its solving technology enables their effective resolution. In what follows, we detail some of the key factors of its success. Answer Set Programming [ASP; Brewka et al. Commun ACM 54(12):92–103, (2011)] is seeing a rapid proliferation in academia and industry due to its easy and flexible way to model and solve knowledge-intense combinatorial (optimization) problems. To this end, ASP offers a high-level modeling language paired with high-performance solving technology. As a result, ASP systems provide out-off-the-box, general-purpose search engines that allow for enumerating (optimal) solutions. They are represented as answer sets, each being a set of atoms representing a solution. The declarative approach of ASP allows a user to concentrate on a problem’s specification rather than the computational means to solve it. This makes ASP a prime candidate for rapid prototyping and an attractive tool for teaching key AI techniques since complex problems can be expressed in a succinct and elaboration tolerant way. This is eased by the tuning of ASP’s modeling language to knowledge representation and reasoning (KRR). The resulting impact is nicely reflected by a growing range of successful applications of ASP [Erdem et al. AI Mag 37(3):53–68, 2016; Falkner et al. Industrial applications of answer set programming. K++nstliche Intelligenz (2018)]
Y1  - 2018
U6  - https://doi.org/10.1007/s13218-018-0550-z
SN  - 0933-1875
SN  - 1610-1987
VL  - 32
IS  - 2-3
SP  - 105
EP  - 108
PB  - Springer
CY  - Heidelberg
ER  - 
TY  - JOUR
A1  - Teske, Daniel
T1  - Geocoder accuracy ranking
JF  - Process design for natural scientists: an agile model-driven approach
N2  - Finding an address on a map is sometimes tricky: the chosen map application may be unfamiliar with the enclosed region. There are several geocoders on the market, they have different databases and algorithms to compute the query. Consequently, the geocoding results differ in their quality. Fortunately the geocoders provide a rich set of metadata. The workflow described in this paper compares this metadata with the aim to find out which geocoder is offering the best-fitting coordinate for a given address.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 161
EP  - 174
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Sens, Henriette
T1  - Web-Based map generalization tools put to the test: a jABC workflow
JF  - Process Design for Natural Scientists: an agile model-driven approach
N2  - Geometric generalization is a fundamental concept in the digital mapping process. An increasing amount of spatial data is provided on the web as well as a range of tools to process it. This jABC workflow is used for the automatic testing of web-based generalization services like mapshaper.org by executing its functionality, overlaying both datasets before and after the transformation and displaying them visually in a .tif file. Mostly Web Services and command line tools are used to build an environment where ESRI shapefiles can be uploaded, processed through a chosen generalization service and finally visualized in Irfanview.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 175
EP  - 185
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Noack, Franziska
T1  - CREADED: Colored-Relief application for digital elevation data
JF  - Process design for natural scientists: an agile model-driven approach
N2  - In the geoinformatics field, remote sensing data is often used for analyzing the characteristics of the current investigation area. This includes DEMs, which are simple raster grids containing grey scales representing the respective elevation values. The project CREADED that is presented in this paper aims at making these monochrome raster images more significant and more intuitively interpretable. For this purpose, an executable interactive model for creating a colored and relief-shaded Digital Elevation Model (DEM) has been designed using the jABC framework. The process is based on standard jABC-SIBs and SIBs that provide specific GIS functions, which are available as Web services, command line tools and scripts.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 186
EP  - 199
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Respondek, Tobias
T1  - A workflow for computing potential areas for wind turbines
JF  - Process design for natural scientists: an agile model-driven approach
N2  - This paper describes the implementation of a workflow model for service-oriented computing of potential areas for wind turbines in jABC. By implementing a re-executable model the manual effort of a multi-criteria site analysis can be reduced. The aim is to determine the shift of typical geoprocessing tools of geographic information systems (GIS) from the desktop to the web. The analysis is based on a vector data set and mainly uses web services of the “Center for Spatial Information Science and Systems” (CSISS). This paper discusses effort, benefits and problems associated with the use of the web services.
Y1  - 2014
SN  - 978-3-662-45005-5
IS  - 500
SP  - 200
EP  - 215
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Scheele, Lasse
T1  - Location analysis for placing artificial reefs
JF  - Process design for natural scientists: an agile model-driven approach
N2  - Location analyses are among the most common tasks while working with spatial data and geographic information systems. Automating the most frequently used procedures is therefore an important aspect of improving their usability. In this context, this project aims to design and implement a workflow, providing some basic tools for a location analysis. For the implementation with jABC, the workflow was applied to the problem of finding a suitable location for placing an artificial reef. For this analysis three parameters (bathymetry, slope and grain size of the ground material) were taken into account, processed, and visualized with the The Generic Mapping Tools (GMT), which were integrated into the workflow as jETI-SIBs. The implemented workflow thereby showed that the approach to combine jABC with GMT resulted in an user-centric yet user-friendly tool with high-quality cartographic outputs.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 216
EP  - 228
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Holler, Robin
T1  - GraffDok - a graffiti documentation application
JF  - Process design for natural scientists: an agile model-driven approach
N2  - GraffDok is an application helping to maintain an overview over sprayed images somewhere in a city. At the time of writing it aims at vandalism rather than at beautiful photographic graffiti in an underpass. Looking at hundreds of tags and scribbles on monuments, house walls, etc. it would be interesting to not only record them in writing but even make them accessible electronically, including images.
GraffDok’s workflow is simple and only requires an EXIF-GPS-tagged photograph of a graffito. It automatically determines its location by using reverse geocoding with the given GPS-coordinates and the Gisgraphy WebService. While asking the user for some more meta data, GraffDok analyses the image in parallel with this and tries to detect fore- and background – before extracting the drawing lines and make them stand alone. The command line based tool ImageMagick is used here as well as for accessing EXIF data.
Any meta data is written to csv-files, which will stay easily accessible and can be integrated in TeX-files as well. The latter ones are converted to PDF at the end of the workflow, containing a table about all graffiti and a summary for each – including the generated characteristic graffiti pattern image.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 239
EP  - 251
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Reso, Judith
ED  - Lambrecht, Anna-Lena
ED  - Margaria, Tiziana
T1  - Protein Classification Workflow
JF  - Process Design for Natural Scientists: an agile model-driven approach
N2  - The protein classification workflow described in this report enables users to get information about a novel protein sequence automatically. The information is derived by different bioinformatic analysis tools which calculate or predict features of a protein sequence. Also, databases are used to compare the novel sequence with known proteins.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 65
EP  - 72
PB  - Springer Verlag
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Schulze, Gunnar
T1  - Workflow for rapid metagenome analysis
JF  - Process design for natural scientists: an agile model-driven approach
N2  - Analyses of metagenomes in life sciences present new opportunities as well as challenges to the scientific community and call for advanced computational methods and workflows. The large amount of data collected from samples via next-generation sequencing (NGS) technologies render manual approaches to sequence comparison and annotation unsuitable. Rather, fast and efficient computational pipelines are needed to provide comprehensive statistics and summaries and enable the researcher to choose appropriate tools for more specific analyses. The workflow presented here builds upon previous pipelines designed for automated clustering and annotation of raw sequence reads obtained from next-generation sequencing technologies such as 454 and Illumina. Employing specialized algorithms, the sequence reads are processed at three different levels. First, raw reads are clustered at high similarity cutoff to yield clusters which can be exported as multifasta files for further analyses. Independently, open reading frames (ORFs) are predicted from raw reads and clustered at two strictness levels to yield sets of non-redundant sequences and ORF families. Furthermore, single ORFs are annotated by performing searches against the Pfam database
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 88
EP  - 100
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Vierheller, Janine
ED  - Lambrecht, Anna-Lena
ED  - Margaria, Tiziana
T1  - Exploratory Data Analysis
JF  - Process Design for Natural Scientists: an agile model-driven approach
N2  - In bioinformatics the term exploratory data analysis refers to different methods to get an overview of large biological data sets. Hence, it helps to create a framework for further analysis and hypothesis testing. The workflow facilitates this first important step of the data analysis created by high-throughput technologies. The results are different plots showing the structure of the measurements. The goal of the workflow is the automatization of the exploratory data analysis, but also the flexibility should be guaranteed. The basic tool is the free software R.
Y1  - 2014
SN  - 978-3-662-45005-5
SN  - 1865-0929
IS  - 500
SP  - 110
EP  - 126
PB  - Axel Springer Verlag
CY  - Berlin
ER  -