A5067133778- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Speech and dialogue systems
- Law and Political Science
- Web Data Mining and Analysis
- Wikis in Education and Collaboration
- Data Management and Algorithms
- Criminal Law and Policy
- European history and politics
- Bayesian Modeling and Causal Inference
- Multimodal Machine Learning Applications
- Graph Theory and Algorithms
- Bioinformatics and Genomic Networks
- Medical and Health Sciences Research
- Complex Network Analysis Techniques
- Business Process Modeling and Analysis
- Data Mining Algorithms and Applications
- Logic, Reasoning, and Knowledge
Institute of Pathology Celle
2024-2025
TU Dresden
2023-2024
Amazon (Germany)
2021-2024
Institut für Biomedizinische Analytik und NMR Imaging (Germany)
2022-2024
Institute of Computer Vision and Applied Computer Sciences
2024
Amazon (United States)
2023
Gesellschaft zur Förderung angewandter Informatik
2023
Leipzig University
2013-2022
University of Bonn
1994-2022
Fraunhofer Institute for Intelligent Analysis and Information Systems
2016-2022
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...
As an increasing amount of RDF data is published as Linked Data, intuitive ways accessing this become more and important. Question answering approaches have been proposed a good compromise between intuitiveness expressivity. Most question systems translate questions into triples which are matched against the to retrieve answer, typically relying on some similarity metric. However, in many cases, do not represent faithful representation semantic structure natural language question, with...
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
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...
Semantic Question Answering (SQA) removes two major access requirements to the Web: mastery of a formal query language like SPARQL and knowledge specific vocabulary. Because complexity natural language, SQA presents difficult challenges many research opportunities. I nstead shared effort, however, essential components are redeveloped, which is an inefficient use researcher’s time resources. This survey analyzes 62 different systems, systematically manually selected using predefined inclusion...
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...