A5091892854- Semantic Web and Ontologies
- Data Quality and Management
- Advanced Database Systems and Queries
- Media and Digital Communication
- Advanced Graph Neural Networks
- Data Management and Algorithms
- Graph Theory and Algorithms
- Journalism and Media Studies
- Mobile Crowdsensing and Crowdsourcing
- Wikis in Education and Collaboration
- Natural Language Processing Techniques
- Media, Journalism, and Communication History
- Radio, Podcasts, and Digital Media
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Advertising and Communication Studies
- Cuban History and Society
- Cinema History and Criticism
- Cultural and political discourse analysis
- Software Engineering Research
- Data Mining Algorithms and Applications
- Photographic and Visual Arts
- Bayesian Modeling and Causal Inference
- Open Source Software Innovations
- Scientific Computing and Data Management
Technical University of Munich
2023-2025
Ruhr University Bochum
2012-2024
Heilbronn University
2024
University of Havana
2015-2022
Instituto Nacional de Salud Pública
2002-2022
Karlsruhe Institute of Technology
2012-2021
Universidad Privada del Este
2018
Kentucky imaging Technologies (United States)
2017
Simón Bolívar University
2010-2015
Carlos Albizu University
2015
Although feminist approaches and those of a sustainable world as whole have been making exponential progress since the 1990s, shock vulnerability human life planet during global Covid 19 epidemic (2020-2021) called into question timing this awareness matrices that until now seemed defined. We agree on perspective establishes these dialogues in communication, art archive record, memory, junction return to looking at ourselves part training future journalists Cuba. are anchored class exercise...
Despite considerable research efforts on handling uncertainty in self-adaptive systems, a comprehensive understanding of the precise nature is still lacking. This paper summarises findings 2023 Bertinoro Seminar Uncertainty Self- Adaptive Systems, which aimed at thoroughly investigating notion uncertainty, and outlining open challenges associated with its systems. The seminar discussions were centered around five core topics: (1) agile end-toend uncertainties goal-oriented (2) managing risks...
Cardinality Estimation over Knowledge Graphs (KG) is crucial for query optimization, yet remains a challenging task due to the semi-structured nature and complex correlations of data in typical KGs. In this work, we propose GNCE, novel approach that leverages knowledge graph embeddings Graph Neural Networks (GNN) accurately predict cardinality conjunctive queries GNCE first creates semantically meaningful all entities KG, which are then used learn representation using GNN estimate query. We...
In this paper we examine the use of crowdsourcing as a means to detect Linked Data quality problems that are difficult uncover automatically. We base our approach on analysis most common errors encountered in DBpedia dataset, and classification these according e xtent which they likely be amenable crowdsourcing. then propose study different approaches identify issues, employing case: (i) contest targeting expert community, (ii) paid microtasks published Amazon Mechanical Turk. secondly focus...
While Linked Data (LD) provides standards for publishing (RDF) and (SPARQL) querying Knowledge Graphs (KGs) on the Web, serving, accessing processing such open, decentralized KGs is often practically impossible, as query timeouts publicly available SPARQL endpoints show. Alternative solutions Triple Pattern Fragments (TPF) attempt to tackle problem of availability by pushing workload client side, but suffer from unnecessary transfer irrelevant data complex queries with large intermediate...
Revisioned text content is present in numerous collaboration platforms on the Web, most notably Wikis. To track authorship of tokens such systems has many potential applications; identification main authors for licensing reasons or tracing collaborative writing patterns over time, to name some. In this context, two challenges arise. First, it critical an tracking system be precise its attributions, reliable further processing. Second, run efficiently even very large datasets, as Wikipedia....
Linked Data Fragments (LDFs) are Web interfaces that enable querying knowledge graphs on the Web. These interfaces, such as SPARQL endpoints or Triple Pattern Fragment servers, differ in expressions they can evaluate and metadata provide. So far, federated query processing has focused federations with a single type of LDF interface, typically endpoints. In this work, we address challenges over heterogeneous interfaces. To end, propose an interface-aware framework illustrate its applicability...
Sources of uncertainty in adaptive systems are rarely independent, and their interaction can affect the attainment system goals unpredictable ways. Despite ample work on "taming" uncertainty, research community has devoted little attention to systematic representation, analysis, mitigation propagation (UPI) systems. To address this oversight, we introduce Uncertainty Flow Diagrams, a notation that captures key UPI aspects. We demonstrate use benefits our novel Znn.com, an news site infrastructure.
RDF and SPARQL provide a uniform way to publish query billions of triples in open knowledge graphs (KGs) on the Web. Yet, provisioning fast, reliable, responsive live querying solution for KGs is still hardly possible through endpoints alone: while such remarkable performance single queries, they typically can not cope with highly concurrent workloads by multiple clients. To mitigate this, Linked Data Fragments (LDF) framework sparked design different alternative low-cost interfaces as...