A5062163326- Semantic Web and Ontologies
- Scientific Computing and Data Management
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Data Quality and Management
- Topic Modeling
- Advanced Graph Neural Networks
- Data Management and Algorithms
- Environmental Monitoring and Data Management
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Digital Marketing and Social Media
- Anomaly Detection Techniques and Applications
- Atmospheric and Environmental Gas Dynamics
- Image Processing and 3D Reconstruction
- Time Series Analysis and Forecasting
- Geographic Information Systems Studies
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence in Healthcare
- AI-based Problem Solving and Planning
- Web Data Mining and Analysis
- Library Science and Information Systems
- Digital Humanities and Scholarship
- Remote Sensing and LiDAR Applications
- Software Engineering Research
Technische Informationsbibliothek (TIB)
2018-2025
PRG S&Tech (South Korea)
2019-2025
L3S Research Center
2021-2025
Leibniz University Hannover
2021-2024
University of Bremen
2016-2020
University of Zurich
2007-2019
University of Eastern Finland
2009-2019
Finland University
2015-2019
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations RDF data. We define analyze characteristics heuristics selectivity-based static BGP optimization. The range from simple triple pattern variable counting to more sophisticated selectivity estimation techniques. Customized summary statistics data enable joined patterns development efficient heuristics. Using Lehigh University Benchmark (LUBM), evaluate...
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...
The Open Research Knowledge Graph is an infrastructure for the production, curation, publication and use of FAIR scientific information. Its mission to shape a future scholarly publishing communication where contents articles are research data.
Abstract The transfer of knowledge has not changed fundamentally for many hundreds years: It is usually document-based-formerly printed on paper as a classic essay and nowadays PDF. With around 2.5 million new research contributions every year, researchers drown in flood pseudo-digitized PDF publications. As result seriously weakened. In this article, we argue representing scholarly structured semantic way graph. advantage that information represented graph readable by machines humans. an...
Abstract In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths weaknesses in effective KG have not been studied literature. We extend Plumber , framework that brings together research community’s disjoint on completion. include more components into architecture to comprise 40 reusable for various subtasks, such as coreference resolution, entity linking, relation extraction....
Earth System Science (ESS) encompasses scientists from different scientific disciplines who use a multitude of heterogeneous terms to describe processes and data. This volume often ambiguous, duplicate, inconsistent presents numerous challenges regarding interoperability standardisation, e.g. for automated data selection or searching in repository. Terminologies such as ontologies, thesauri controlled vocabularies can enable infrastructure providers realise machine-processable expression the...
The Scholix Framework (SCHOlarly LInk eXchange) is a high level interoperability framework for exchanging information about the links between scholarly literature and data, as well datasets. Over past decade, publishers, data centers, indexing services have agreed on implemented numerous bilateral agreements to establish bidirectional research literature. However, because of considerable differences inherent these many agreements, there very limited various solutions. This situation fueling...
Knowledge graphs have gained increasing popularity in the last decade science and technology. However, knowledge are currently relatively simple to moderate semantic structures that mainly a collection of factual statements. Question answering (QA) benchmarks systems were so far geared towards encyclopedic such as DBpedia Wikidata. We present SciQA scientific QA benchmark for scholarly knowledge. The leverages Open Research Graph (ORKG) which includes almost 170,000 resources describing...
Text-based literature remains the primary expression of scientific knowledge. Since first article published in 1665, we have managed switch from physically printed articles to PDFs, but nothing more. While PDF publications can be easily shared electronically, they remain unstructured text-based documents that machines cannot interpret (i.e., are not machine-reusable). This limits our ability use digital support tools efficiently extract and organize knowledge articles. Rather, reuse most...
Seamless Research Data Management for Researchers aims to cover a complete scientific workflow from planning research project registration and publication of results in repositories by connecting existing components, services, tools using FDOs. This approach combines widely used so large data volumes can increasingly be FAIRified automatically. Machine-actionable Plans (maDMP) that comprehensively document the respective machine-actionable format form entry point. The familiar Galaxy...
Building on the Open Research Knowledge Graph as an infrastructure for production, curation, and publication of FAIR scientific knowledge, we present a concept that models original articles corresponding expression in ORKG independent interlinked FDOs by organizing content describing article into semantic units.
When researchers analyze data, it typically requires significant effort in data preparation to make the analysis ready. This often involves cleaning, pre-processing, harmonizing, or integrating from one multiple sources and placing them into a computational environment form suitable for analysis. Research infrastructures their repositories host available researchers, but rarely offer Published are persistently identified, such identifiers resolve onto landing pages that must be (manually)...
Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to assessment data quality reuse, globally unique, persistent resolvable identification is crucial. The Research Data Alliance Working Group Persistent Identification (PIDINST) developed a community-driven solution for which we present discuss this paper. Based on analysis 10 use cases, PIDINST schema prototyped implementation with DataCite ePIC as representative...
Information systems that build on sensor networks often process data produced by measuring physical properties. These can serve in the acquisition of knowledge for real-world situations are interest to information services and, ultimately, people. Such face a common challenge, namely considerable gap between measurement and abstract terminology used describe situations. We present discuss architecture software system utilizes data, digital signal processing, machine learning, representation...
Road vehicle detection and, to a lesser extent, classification have received considerable attention, in particular for the purpose of traffic monitoring by transportation authorities. A multitude sensors and systems been developed assist people monitoring. Camera-based enjoyed wide adoption over last decade, partially substituting more traditional techniques. Methods based on road-pavement vibration are not as common camera-based systems. However, may be interest when must out sight...
Reviewing scientific literature is a cumbersome, time consuming but crucial activity in research. Leveraging scholarly knowledge graph, we present methodology and system for comparing literature, particular research contributions describing the addressed problem, utilized materials, employed methods yielded results. The can be used by researchers to quickly get familiar with existing work specific domain (e.g., concrete question or hypothesis). Additionally, it publish surveys following FAIR...
Terrain curvature is one of the most important parameters land surface topography. Well-established methods used in its measurement compute an index plan or profile for every single cell a digital elevation model (DEM). The interpretation these outputs may be delicate, especially when selected locations have to analyzed. Furthermore, they involve high level simplification, contrasting with complex and multiscalar nature itself. In this paper, we present new method assess vertical transverse...