A5049009486- Semantic Web and Ontologies
- Data Quality and Management
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Graph Theory and Algorithms
- Advanced Graph Neural Networks
- Scientific Computing and Data Management
- Bayesian Modeling and Causal Inference
- Natural Language Processing Techniques
- Digital Rights Management and Security
- Web Data Mining and Analysis
- Cognitive Computing and Networks
- Cloud Computing and Resource Management
- Data Management and Algorithms
- Algorithms and Data Compression
- Big Data and Business Intelligence
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Software System Performance and Reliability
- Data-Driven Disease Surveillance
- Distributed and Parallel Computing Systems
University of Bonn
2017-2022
Deutsche Post (Germany)
2020
Fraunhofer Institute for Intelligent Analysis and Information Systems
2017
University of Prishtina
2014
SPARQL is a W3C standard for querying the data stored as Resource Description Framework (RDF). The queries are represented using triple-patterns, and process searches these patterns in given RDF. Most of existing evaluators provide centralized, DBMS inspired solutions consuming high resources offering limited flexibility. To deal with increasing size RDF data, it important to develop scalable efficient distributed query evaluation. In this paper, we present DISE - an open-source...
Knowledge Graphs (KGs) integrate heterogeneous data, but one challenge is the development of efficient tools for allowing end users to extract useful insights from these sources knowledge. In such a context, reducing size Resource Description Framework (RDF) graph while preserving all information can speed up query engines by limiting data shuffle, especially in distributed setting. This paper presents two algorithms RDF summarization: Grouping Based Summarization (GBS) and Query (QBS). The...
Developments in the context of Open, Big, and Linked Data have led to an enormous growth structured data on Web. To keep up with pace efficient consumption management at this rate, many Management solutions been developed for specific tasks applications. We present LITMUS, a framework benchmarking solutions. LITMUS goes beyond classical storage frameworks by allowing analysing performance across query languages. In position paper we conceptual architecture as well considerations that architecture.
The “HPI Future SOC Lab” is a cooperation of the Hasso Plattner Institute (HPI) and industry partners. Its mission to enable promote exchange interaction between research community partners. HPI Lab provides researchers with free charge access complete infrastructure state art hard software. This includes components, which might be too expensive for an ordinary environment, such as servers up 64 cores 2 TB main memory. offerings address particularly from but not limited areas computer...