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Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings
[chapter]
2015
Communications in Computer and Information Science
Preserved Fulltext
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
2017
CEUR Workshop Proceedings
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CEUR Workshop Proc. Author manuscript; available in PMC 2017 March 07. ...
pmid:28280453
pmcid:PMC5340263
fatcat:pwlwfo5ktvbtxlyk4upsfjooh4
A Database Framework for Classifier Engineering
2015
CEUR Workshop Proceedings
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Enhancing Terminological Knowledge With Upper Level Ontologies
2015
CEUR Workshop Proceedings
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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
2017
CEUR Workshop Proceedings
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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
doi:10.25968/opus-1146
fatcat:h3a2txpmqrac7kwzkuyvkjrp4y
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... 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.
Ein Schnittstellen-Datenmodell der Variabilität in automatisch bewerteten Programmieraufgaben
2020
CEUR Workshop Proceedings
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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
doi:10.25968/opus-1561
fatcat:mj4hjontbndv3dr2dlbbrtdw3y
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... 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.
Expressing FactDAG Provenance with PROV-O
2020
CEUR Workshop Proceedings
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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
doi:10.18154/rwth-conv-242783
fatcat:c6xkfrdzhng6fmy7h56gm7uir4
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... 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.
Easy Extraction of Terms and Definitions with OWL2TL
2016
CEUR Workshop Proceedings
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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
pmid:28035214
pmcid:PMC5189984
fatcat:alqu5rbcp5a6phx2qh3wfgu2rq
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... 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.
Surface Discretisation Effects on 3D Printed Surface Appearance
2020
CEUR Workshop Proceedings
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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
doi:10.5281/zenodo.4081342
fatcat:olhb5kcsh5hflk3z3ru2waoxk4
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... 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.
An Agricultural Data Platform iStar Model
2020
CEUR Workshop Proceedings
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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
doi:10.18154/rwth-2021-01070
fatcat:6usvtld4wrchpkt3zrgg6bqema
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... 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.
Investigating Term Reuse and Overlap in Biomedical Ontologies
2015
CEUR Workshop Proceedings
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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
2016
CEUR Workshop Proceedings
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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
2021
CEUR Workshop Proceedings
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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
doi:10.25968/opus-2075
fatcat:qh35plvyfvd2djjkbfe65u46l4
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... 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.
CEUR Make GUI - A Usable Web Frontend Supporting the Workflow of Publishing Proceedings of Scientific Workshops
[chapter]
2017
Communications in Computer and Information Science
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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
2015
CEUR Workshop Proceedings
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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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