A5046373717- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Advanced Database Systems and Queries
- Service-Oriented Architecture and Web Services
- Research Data Management Practices
- Natural Language Processing Techniques
- Topic Modeling
- Data Quality and Management
- Web Data Mining and Analysis
- Data Management and Algorithms
- Data Mining Algorithms and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Text Analysis Techniques
- Advanced Clustering Algorithms Research
- Cloud Computing and Resource Management
- Data Visualization and Analytics
- linguistics and terminology studies
- Software System Performance and Reliability
- Banana Cultivation and Research
- Machine Learning in Bioinformatics
- Context-Aware Activity Recognition Systems
- Text and Document Classification Technologies
- Smart Agriculture and AI
- Distributed systems and fault tolerance
Friedrich Schiller University Jena
2015-2024
Tanta University
2012-2017
Otto-von-Guericke University Magdeburg
2007-2013
Leipzig University
2010-2011
University Hospital Magdeburg
2008
Abstract Biodiversity research studies the variability and diversity of organisms, including within between species with particular focus on functional traits their relationship to environment. Managing biodiversity data implies dealing its heterogeneous nature using semantics tailored ontologies. These are themselves differently conceived, combining them in semantically enabled applications necessitates an effective alignment concepts. This paper describes ontology matching biodiversity-...
Biodiversity is the assortment of life on earth covering evolutionary, ecological, biological, and social forms. To preserve in all its variety richness, it imperative to monitor current state biodiversity change over time understand forces driving it. This need has resulted numerous works being published this field. With this, a large amount textual data (publications) metadata (e.g. dataset description) been generated. support management analysis these data, two techniques from computer...
Abstract Ontologies are the backbone of Semantic Web. As a result, number existing ontologies and topics covered by them has increased considerably. With this, reusing these becomes preferable to constructing new from scratch. However, user might be interested in part and/or set parts given ontology, only. Therefore, ontology modularization, i.e., splitting up an into smaller that can independently used, necessity. In this paper, we introduce approach partition based on seeding-based scheme,...
The relationship between XML data clustering and schema matching is bidirectional. On one side, techniques have been adopted to improve performance, on the other side backbone of technique. This paper presents a new approach for based matching. In particular, we develop implement an system, which determines semantic similarities schemas Prüfer sequence representation trees. proposed computation similarity algorithm makes use meaning elements as well hierarchical features schemas. computed...
Computing the semantic similarity between pairs of terms plays a vital role within myriad shared data applications, such as integration and ontology evolution. A first step towards building applications is to determine which are semantically similar each other. One feasible way compute two assess their word by exploiting different knowledge resources, e.g., ontologies or domain corpora. Recently, information-theoretic approaches have shown promising results computing information content...
Schema matching represents a critical step to integrate heterogeneous e-Business and shared-data applications. Most existing schema approaches rely heavily on similarity-based techniques, which attempt discover correspondences based various element similarity measures, each computed by an individual base matcher. It has been accepted that aggregating results of multiple matchers is promising technique obtain more accurate correspondences. A number current systems use experimental weights for...
Obtaining fit-to-use data associated with diverse aspects of biodiversity, ecology and environment is challenging since often it fragmented, sub-optimally managed available in heterogeneous formats. Recently, the universal acceptance FAIR principles, requirements standards publications have changed substantially. Researchers are encouraged to manage as per principles ensure that raw data, metadata, processed software, codes material securely stored be made completion research.We developed...
Developing a precise argument is not an easy task. In real-world argumentation scenarios, arguments presented in texts (e.g. scientific publications) often constitute the end result of long and tedious process. A lot work on computational has focused analyzing aggregating these products processes, i.e. argumentative texts. this project, we adopt complementary perspective: aim to develop machine that supports users during process context, enabling them follow ongoing community their own...