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Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings [chapter]

Bahar Sateli, René Witte
2015 Communications in Computer and Information Science  
The dataset under study is composed of 183 workshop papers, published between 2007 and 2014 by CEUR-WS.org.  ...  The 2015 edition of the challenge 1 targeted the automatic analysis of several computer science workshop proceedings to extract fine-grained bibliographical metadata from workshops' full-text papers.  ... 
doi:10.1007/978-3-319-25518-7_11 fatcat:sjrbad3zbbedjlvvnaxgyffad4

Measurement Error and Causal Discovery

Richard Scheines, Joseph Ramsey
2017 CEUR Workshop Proceedings  
CEUR Workshop Proc. Author manuscript; available in PMC 2017 March 07.  ... 
pmid:28280453 pmcid:PMC5340263 fatcat:pwlwfo5ktvbtxlyk4upsfjooh4

A Database Framework for Classifier Engineering

Benny Kimelfeld, Christopher Ré
2015 CEUR Workshop Proceedings  
pmid:27274719 pmcid:PMC4891810 fatcat:blwyko2jnfclnejtd6fadfsbe4

Enhancing Terminological Knowledge With Upper Level Ontologies

Selja Seppälä, Amanda Hicks
2015 CEUR Workshop Proceedings  
Proceedings of the conference Terminology and Artificial Intelligence 2015 (Granada, Spain)  ... 
pmid:27011763 pmcid:PMC4800986 fatcat:c7rkwr6bpvcodovnszunt4ltle

Classifying Medical Literature Using k-Nearest-Neighbours Algorithm

Andreas Lüschow, Christian Wartena
2017 CEUR Workshop Proceedings  
The amount of papers published yearly increases since decades. Libraries need to make these resources accessible and available with classification being an important aspect and part of this process. This paper analyzes prerequisites and possibilities of automatic classification of medical literature. We explain the selection, preprocessing and analysis of data consisting of catalogue datasets from the library of the Hanover Medical School, Lower Saxony, Germany. In the present study, 19,348
more » ... ments, represented by notations of library classification systems such as e.g. the Dewey Decimal Classification (DDC), were classified into 514 different classes from the National Library of Medicine (NLM) classification system. The algorithm used was k-nearest-neighbours (kNN). A correct classification rate of 55.7% could be achieved. To the best of our knowledge, this is not only the first research conducted towards the use of the NLM classification in automatic classification but also the first approach that exclusively considers already assigned notations from other classification systems for this purpose.
doi:10.25968/opus-1146 fatcat:h3a2txpmqrac7kwzkuyvkjrp4y

Ein Schnittstellen-Datenmodell der Variabilität in automatisch bewerteten Programmieraufgaben

Robert Garmann, Stephan Krusche
2020 CEUR Workshop Proceedings  
Automatisch bewertete, variable Programmieraufgaben stellen besondere Schnittstellenanforderungen an Autobewerter (Grader) und Lernmanagementsysteme (LMS). Um Wiederverwendung von Aufgaben über Systemgrenzen hinweg zu begünstigen, schlagen wir vor, Aufgabenschablonen durch eine von allen beteiligten Systemen genutzte Middleware zu instanziieren und dabei Variabilitätsinformationen in einem Schnittstellen-Datenmodell zu transportieren. Wir stellen ein solches Datenmodell vor, welches für die
more » ... er-unabhängige Kommunikation mit LMS ausgelegt ist und beispielhaft im Autobewerter Graja implementiert wurde. Zudem wird eine Dialogkomponente für die manuelle Werteauswahl vorgestellt, die auch bei großen Wertemengen effizient und Grader-unabhängig einsetzbar ist. Die Eignung des Dialogs und des Datenmodells wird anhand eines typischen Bewertungsszenarios diskutiert.
doi:10.25968/opus-1561 fatcat:mj4hjontbndv3dr2dlbbrtdw3y

Expressing FactDAG Provenance with PROV-O

Lars Christoph Gleim, Liam Tirpitz, Jan Pennekamp, Stefan Josef Decker
2020 CEUR Workshop Proceedings  
To foster data sharing and reuse across organizational boundaries, provenance tracking is of vital importance for the establishment of trust and accountability, especially in industrial applications, but often neglected due to associated overhead. The abstract FactDAG data interoperability model strives to address this challenge by simplifying the creation of provenance-linked knowledge graphs of revisioned (and thus immutable) resources. However, to date, it lacks a practical provenance
more » ... ntation. In this work, we present a concrete alignment of all roles and relations in the FactDAG model to the W3C PROV provenance standard, allowing future software implementations to directly produce standard-compliant provenance information. Maintaining compatibility with existing PROV tooling, an implementation of this mapping will pave the way for practical FactDAG implementations and deployments, improving trust and accountability for Open Data through simplified provenance management.
doi:10.18154/rwth-conv-242783 fatcat:c6xkfrdzhng6fmy7h56gm7uir4

Easy Extraction of Terms and Definitions with OWL2TL

John Judkins, Joseph Utecht, Mathias Brochhausen
2016 CEUR Workshop Proceedings  
Facilitating good communication between semantic web specialists and domain experts is necessary to efficient ontology development. This development may be hindered by the fact that domain experts tend to be unfamiliar with tools used to create and edit OWL files. This is true in particular when changes to definitions need to be reviewed as often as multiple times a day. We developed "OWL to Term List" (OWL2TL) with the goal of allowing domain experts to view the terms and definitions of an OWL
more » ... file organized in a list that is updated each time the OWL file is updated. The tool is available online and currently generates a list of terms, along with additional annotation properties that are chosen by the user, in a format that allows easy copying into a spreadsheet.
pmid:28035214 pmcid:PMC5189984 fatcat:alqu5rbcp5a6phx2qh3wfgu2rq

Surface Discretisation Effects on 3D Printed Surface Appearance

Alina Pranovich, Sasan Gooran, Jeppe Revall Frisvad, Daniel Nyström
2020 CEUR Workshop Proceedings  
The spatial resolution of 3D printing is finite. The necessary discretisation of an object before printing produces a step-like surface structure that influences the appearance of the printed objects. To study the effect of this discretisation on specular reflections, we print surfaces at various oblique angles. This enables us to observe the step-like structure and its influence on reflected light. Based on the step-like surface structure, we develop a reflectance model describing the
more » ... ution of the light scattered by the surface, and we study dispersion effects due to the wavelength dependency of the refractive index of the material. We include preliminary verification by comparing model predictions to photographs for different angles of observation.
doi:10.5281/zenodo.4081342 fatcat:olhb5kcsh5hflk3z3ru2waoxk4

An Agricultural Data Platform iStar Model

Stefan Braun, István Koren, Marc Van Dyck, Matthias Jarke
2020 CEUR Workshop Proceedings  
Organizations increasingly rely on external data and service exchange within business networks in order to fuel their analytics and artificial intelligence needs. In Industry 4.0 practices, new ecosystems have evolved, where data and service provisioning often happens within dedicated platforms. Hereby, the challenge lies in ensuring the data sovereignty of enterprises in terms of self-determination with regard to the use of their data. While conceptual modeling of these platforms inhabits a
more » ... ge number of opportunities, for instance, including automated generation of access policies, research in this area is scarce. To this end, we propose a bottom-up approach using the iStar 2.0 modeling language. In this paper, we first introduce a model describing the market participants of a data and service exchange platform in the realm of smart farming. We then generalize and provide a formalization of relevant aspects in a broader context. The resulting models serve both as a basis for discussion on the requirements analysis level and as fundamental groundwork for further value generation in the area of data sovereignty in complex cross-organizational settings.
doi:10.18154/rwth-2021-01070 fatcat:6usvtld4wrchpkt3zrgg6bqema

Investigating Term Reuse and Overlap in Biomedical Ontologies

Maulik R Kamdar, Tania Tudorache, Mark A Musen
2015 CEUR Workshop Proceedings  
Page 13 CEUR Workshop Proc. Author manuscript; available in PMC 2018 April 08.  ... 
pmid:29636656 pmcid:PMC5889951 fatcat:637lrjr32jgrnht563557a44y4

Adding evidence type representation to DIDEO

Mathias Brochhausen, Philip E Empey, Jodi Schneider, William R Hogan, Richard D Boyce
2016 CEUR Workshop Proceedings  
CEUR Workshop Proc. Author manuscript; available in PMC 2020 November 01.View of the inferred evidence type taxonomy in Protégé Brochhausen et al.  ... 
pmid:33139971 pmcid:PMC7603805 fatcat:7ggklqu4gfgk5o45rkhlv74ccu

Predicting the Concreteness of German Words

Jean Charbonnier, Christian Wartena, Sarah Ebling, Don Tuggener, Manuela Hürlimann, Mark Cieliebak, Martin Volk
2021 CEUR Workshop Proceedings  
Concreteness of words has been measured and used in psycholinguistics already for decades. Recently, it is also used in retrieval and NLP tasks. For English a number of well known datasets has been established with average values for perceived concreteness. We give an overview of available datasets for German, their correlation and evaluate prediction algorithms for concreteness of German words. We show that these algorithms achieve similar results as for English datasets. Moreover, we show for
more » ... all datasets there are no significant differences between a prediction model based on a regression model using word embeddings as features and a prediction algorithm based on word similarity according to the same embeddings.
doi:10.25968/opus-2075 fatcat:qh35plvyfvd2djjkbfe65u46l4

CEUR Make GUI - A Usable Web Frontend Supporting the Workflow of Publishing Proceedings of Scientific Workshops [chapter]

Muhammad Rohan Ali Asmat, Christoph Lange
2017 Communications in Computer and Information Science  
CEUR-WS.org is a widely used open access repository for computer science workshop proceedings.  ...  To publish a proceedings volume there, workshop organisers have to follow a complex, error-prone workflow, which mainly involves the creation and submission of an HTML table of contents.  ...  Problem Statement The Publishing Workflow The HTML table of contents of a CEUR-WS.org workshop proceedings volume includes metadata about the workshop (title, date, venue, proceedings editors, etc.)  ... 
doi:10.1007/978-3-319-67162-8_16 fatcat:iuvv3qbi3nbyragpvzsgbtyljq

Intelligence Level Performance Standards Research for Autonomous Vehicles

Roger B Bostelman, Tsai H Hong, Elena Messina
2015 CEUR Workshop Proceedings  
Intelligence Level Performance Standards Research forAutonomous Vehicles Roger Bostelman, Tsai Hong, and Elena Messina FinE-R 2015The Path to Success: Failures in Real Robots Workshop Intelligent Robot  ... 
pmid:28649189 pmcid:PMC5482371 fatcat:662varachfhlbmb3bjgwi7au74
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