A5071765665- Semantic Web and Ontologies
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Topic Modeling
- Scientific Computing and Data Management
- Natural Language Processing Techniques
- Advanced Database Systems and Queries
- Advanced Graph Neural Networks
- Web Data Mining and Analysis
- Wikis in Education and Collaboration
- Research Data Management Practices
- Business Process Modeling and Analysis
- Open Education and E-Learning
- Data Management and Algorithms
- Library Science and Information Systems
- Big Data and Business Intelligence
- Software Engineering Research
- Digital Rights Management and Security
- Mobile Crowdsensing and Crowdsourcing
- Advanced Text Analysis Techniques
- Online Learning and Analytics
- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Data Mining Algorithms and Applications
Technische Informationsbibliothek (TIB)
2017-2025
L3S Research Center
2018-2025
PRG S&Tech (South Korea)
2021-2025
Leibniz University Hannover
2017-2023
Leipzig University
2008-2021
Fraunhofer Institute for Intelligent Analysis and Information Systems
2014-2018
University of Bonn
2013-2017
Poznań University of Economics and Business
2013
Open Data Institute
2013
Chemnitz University of Technology
2012
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes it freely available on the Web using Semantic Linked Data technologies. 111 different language editions of
The development and standardization of Semantic Web technologies has resulted in an unprecedented volume data being published on the as Linked Data (LD). However, we observe widely varying quality ranging from extensively curated datasets to crowdsourced extracted relatively low quality. In this article, present results a systematic review approaches for assessing LD. We gather existing analyze them qualitatively. particular, unify formalize commonly used terminologies across papers related...
The Semantic Web eases data and information integration tasks by providing an infrastructure based on RDF ontologies. In this paper, we contribute to the development of a spatial Data elaborating how collaboratively collected OpenSt
The Linked Data paradigm has evolved into a powerful enabler for the transition from document-oriented Web Semantic Web. While amount of data published as grows steadily and surpassed 25 billion triples, less than 5% these triples are links between knowledge bases. Link discovery frameworks provide functionality necessary to discover missing Yet, this task requires significant time, especially when it is carried out on large sets. This paper presents evaluates LIMES, novel time-efficient...
In this paper we present Triplify - a simplistic but effective approach to publish Linked Data from relational databases. is based on mapping HTTP-URI requests onto database queries. transforms the resulting relations into RDF statements and publishes data Web in various serializations, particular as Data. The rationale for developing that largest part of information already stored structured form, often contained databases, usually published by applications only HTML mixing structure,...
Question Answering (QA) systems over Knowledge Graphs (KG) automatically answer natural language questions using facts contained in a knowledge graph. Simple questions, which can be answered by the extraction of single fact, constitute large part asked on web but still pose challenges to QA systems, especially when against resource. Existing usually rely various components each specialised solving different sub-tasks problem (such as segmentation, entity recognition, disambiguation, and...
Linked Open Data (LOD) comprises an unprecedented volume of structured data on the Web. However, these datasets are varying quality ranging from extensively curated to crowdsourced or extracted often relatively low quality. We present a methodology for test-driven assessment Data, which is inspired by software development. argue that vocabularies, ontologies and knowledge bases should be accompanied number test cases, help ensure basic level assessing linked resources, based formalization...
Despite improved digital access to scholarly knowledge in recent decades, communication remains exclusively document-based. In this form, is hard process automatically. We present the first steps towards a graph based infrastructure that acquires machine actionable form thus enabling new possibilities for curation, publication and processing. The primary contribution present, evaluate discuss multi-modal acquisition, combining crowdsourced automated techniques. results of user evaluation...
The document-centric workflows in science have reached (or already exceeded) the limits of adequacy. This is emphasized by recent discussions on increasing proliferation scientific literature and reproducibility crisis. presents an opportunity to rethink dominant paradigm scholarly information communication transform it into knowledge-based flows representing expressing through semantically rich, interlinked knowledge graphs. At core creation evolution models that establish a common...
In the engineering and manufacturing domain, there is currently an atmosphere of departure to a new era digitized production. different regions, initiatives in these directions are known under names, such as industrie du futur France, industrial internet US or Industrie 4.0 Germany. While vision digitizing production gained much traction lately, it still relatively unclear how this can actually be implemented with concrete standards technologies. Within German Industry initiative, concept...
Linked Open Data (LOD) comprises of an unprecedented volume structured datasets on the Web. However, these are varying quality ranging from extensively curated to crowdsourced and even extracted data relatively low quality. We present a methodology for assessing linked resources, which manual semi-automatic process. The first phase includes detection common problems their representation in problem taxonomy. In process, second evaluation large number individual according taxonomy via...