A5038745720- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Advanced Graph Neural Networks
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Web Data Mining and Analysis
- Scientific Computing and Data Management
- Data Mining Algorithms and Applications
- Graph Theory and Algorithms
- Geographic Information Systems Studies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Explainable Artificial Intelligence (XAI)
- Caching and Content Delivery
- Rough Sets and Fuzzy Logic
- Bioinformatics and Genomic Networks
- Bayesian Modeling and Causal Inference
- Misinformation and Its Impacts
- Machine Learning in Bioinformatics
- Algorithms and Data Compression
- Public Spaces through Art
Paderborn University
2016-2025
Leipzig University
2013-2023
Sapienza University of Rome
2023
Association for Computing Machinery
2021
Shanghai Jiao Tong University
2020
University of Chile
2020
Fraunhofer Institute for Intelligent Analysis and Information Systems
2017
Alexandru Ioan Cuza University
2015
University of Bonn
2014
Inform (Germany)
2010-2014
This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March September 2013. assesses ability systems to semantically index very large numbers scientific articles, return concise user-understandable answers given natural language questions by combining information from articles ontologies.The 2013 comprised two tasks, Task 1a 1b. In participants were asked automatically...
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 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...
Links build the backbone of Linked Data Cloud. With steady growth in size datasets comes an increased need for end users to know which frameworks use deriving links between datasets. In this survey, we comparatively evaluate current Link Discovery tools and frameworks. For pu rpose, outline general requirements derive a generic architecture Based on architecture, study compare features state-of-the-art linking We also analyze reported performance evaluations different Finally, insights...
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...
We present GERBIL, an evaluation framework for semantic entity annotation. The rationale behind our is to provide developers, end users and researchers with easy-to-use interfaces that allow the agile, fine-grained uniform of annotation tools on multiple datasets. By these means, we aim ensure both tool developers can derive meaningful insights pertaining extension, integration use applications. In particular, GERBIL provides comparable results so as them easily discover strengths weaknesses...
The Web of Data has grown enormously over the last years. Currently, it comprises a large compendium interlinked and distributed datasets from multiple domains. Running complex queries on this often requires accessing data different endpoints within one query. abundance da tasets need for running query thus motivated considerable body work SPARQL federation systems, dedicated means to access Data. However, granularity previous evaluations such systems not allowed deriving insights concerning...
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry academia. Knowledge graphs are founded on the
Over the past years, Semantic Web and Linked Data technologies have reached backend of a considerable number applications. Consequently, large amounts RDF data are constantly being made available across planet. While experts can easily gather information from this wealth by using W3C standard query language SPARQL, most lay users lack expertise necessary to proficiently interact with these non-expert usually rely on forms, builders, question answering or keyword search tools access data....