A5065534844- Semantic Web and Ontologies
- Data Quality and Management
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Service-Oriented Architecture and Web Services
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Peer-to-Peer Network Technologies
- Research Data Management Practices
- Graph Theory and Algorithms
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Intellectual Property and Patents
- Innovative Microfluidic and Catalytic Techniques Innovation
- Caching and Content Delivery
- Wikis in Education and Collaboration
- Genomics and Phylogenetic Studies
- Machine Learning in Materials Science
- Cloud Computing and Resource Management
- Smart Grid Security and Resilience
- Advanced Data Storage Technologies
Technische Informationsbibliothek (TIB)
2018-2023
L3S Research Center
2017-2021
University of Bonn
2015-2018
Institut national de recherche en informatique et en automatique
2014
The current decade is a witness to an enormous explosion of data being published on the Web as Linked Data maximise its reusability. Answering questions that users speak or write in natural language increasingly popular application scenario for Data, especially when domain not limited where dedicated curated datasets exist, like medicine. increasing use this and other settings has highlighted importance assessing quality. While quite some work been done with regard quality only few efforts...
Question Answering (QA) systems are becoming the inspiring model for future of search engines. While, recently, datasets underlying QA have been promoted from unstructured to structured with semantically highly enriched metadata, question answering still facing serious challenges and therefore not meeting users' expectations. This paper provides an exhaustive insight known so far building systems, a special focus on employing data (i.e. knowledge graphs).It thus helps researchers easily spot...
The quality and maintainability of a knowledge graph are determined by the process in which it is created. There different approaches to such processes; extraction or conversion available data web (automated as DBpedia from Wikipedia), community-created graphs, often group experts, hybrid where humans maintain alongside bots. We focus this work on approach human edited graphs supported automated tools. In particular, we analyse editing natural language data, i.e. labels. Labels entry point...
Join operators are particularly important in SPARQL query engines that collect RDF data using Web access interfaces. State-of-the-art rely on binary join tailored for merging results from queries over However, with a large number of triple patterns, joins constitute significant burden the performance. Multi-way handle more than two inputs able to reduce complexity pre-processing stages and execution time. Whereas relational databases field multi-way have already received some attention,...
Following the Linked Data principles means maximising reusability of data over Web. Reuse datasets can become apparent when are linked to from other datasets, and referred in scientific articles or community discussions. It thus be measured, similarly citations papers. In this paper we propose dataset reuse metrics use these analyse indications different communication channels within a community. particular consider mailing lists publications Semantic Web their correlation with interlinking....
Capturing knowledge about the mulitilinguality of a graph is supreme importance to understand its applicability across multiple languages. Several metrics have been proposed for describing at level whole graph. Albeit enabling understanding ecosystem graphs in terms utilized languages, they are unable capture fine-grained description languages which different entities and properties represented. This lack representation prevents comparison existing order decide most appropriate multilingual...
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous systems. Despite great potential that big data-driven technologies can bring to sector, general adoption still lagging. Several challenges related controlled data exchange integration are not wholly achieved. As a result, fragmented applications developed against silos, limited few applications. In this paper, we analyze requirements energy-related We also evaluate use of Energy Ecosystems (EDEs)...
Question Answering (QA) systems are becoming the inspiring model for future of search engines. While recently, underlying datasets QA have been promoted from unstructured to structured with highly semantic-enriched metadata, but still question answering involve serious challenges which cause be far beyond desired expectations. In this paper, we raise building a system especially focus employing data (i.e. knowledge graph). This paper provide an exhaustive insight known challenges, so far....
The amount of Linked Data both open, made available on the Web, and private, exchanged across companies organizations, have been increasing in recent years. This data can be distributed form Knowledge Graphs (KGs), but maintaining these KGs is mainly responsibility owners or providers. Moreover, building applications top order to provide, for instance, analytics, access control, privacy left end user consumers. However, many resources terms development costs equipment are required by...