A5054197674- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- Natural Language Processing Techniques
- Bioinformatics and Genomic Networks
- linguistics and terminology studies
- Electronic Health Records Systems
- Advanced Database Systems and Queries
- Genomics and Rare Diseases
- Data Quality and Management
- Renal and related cancers
- Research Data Management Practices
- Clinical practice guidelines implementation
- Service-Oriented Architecture and Web Services
- Advances in Oncology and Radiotherapy
- COVID-19 and healthcare impacts
- Cancer Genomics and Diagnostics
- Web Data Mining and Analysis
- Healthcare cost, quality, practices
- Economic and Financial Impacts of Cancer
- Software Testing and Debugging Techniques
- Open Source Software Innovations
- Mathematical Biology Tumor Growth
- AI in cancer detection
- Software Reliability and Analysis Research
Saarland University
2010-2022
Witten/Herdecke University
2022
University of Tübingen
2017-2020
Universitätsklinikum des Saarlandes
2016
University Medical Center Freiburg
2007-2009
National University of Ireland
2008
Ollscoil na Gaillimhe – University of Galway
2008
Enterprise Ireland
2008
German Research Centre for Artificial Intelligence
2000
Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to 'linked-data' approach de-referencing resource URIs. Existing search engines are focused database-like functionality, compromising index size, query performance live updates. We present Sindice, a lookup over resources. Our allows applications automatically locate documents containing information about given resource. In addition, we allow retrieval through inverse-functional properties, offer...
In recent years, as newer technologies have evolved around the healthcare ecosystem, more and data been generated. Advanced analytics could power collected from numerous sources, both institutions, or generated by individuals themselves via apps devices, lead to innovations in treatment diagnosis of diseases; improve care given patient; empower citizens participate decision-making process regarding their own health well-being. However, sensitive nature prohibits organizations sharing data....
The COVID-19 pandemic has caused strains on health systems worldwide disrupting routine hospital services for all non-COVID patients. Within this retrospective study, we analyzed inpatient admissions across 18 German university hospitals during the 2020 lockdown period compared to 2018. Patients admitted between January 1st and May 31st, corresponding periods in 2018 2019 were included study. Data derived from electronic records collected using data integration center infrastructure...
In the life sciences, there is an ample need for semantic interoperability of data. Thus shared vocabularies are needed consistently expressing metadata in terms annotations as well querying bibliographic information systems. I
COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing are inevitable. Though organizational clinical abundant, many of them available only in isolated silos largely inaccessible to external researchers. overcome tackle this challenge university medicine network (comprising all 36 German hospitals) been founded April 2020 coordinate action plans, strategies collaborative research activities. 13...
We propose a typology of representational artifacts for health care and life sciences domains associate this with different kinds formal ontology logic, drawing conclusions as to the strengths limitations logical resources, focus on description logics.The four types domain representation we consider are: (i) lexico-semantic representation, (ii) entities, (iii) representations background knowledge, (iv) individuals.We advocate clear distinction in order provide more rational basis using...
The challenge of modelling cancer presents a major opportunity to improve our ability reduce mortality from malignant neoplasms, treatments and meet the demands associated with individualization care needs. This is central motivation behind ContraCancrum project. By developing integrated multi-scale models, expected contribute advancement in silico oncology through optimization treatment patient-individualized context by simulating response various therapeutic regimens. aim present paper...
Abstract Motivation: The classification of biological entities in terms species and taxa is an important endeavor biology. Although a large amount statements encoded current biomedical ontologies taxon-dependent there no obvious or standard way for introducing taxon information into integrative ontology architecture, supposedly because ongoing controversies about the ontological nature taxa. Results: In this article, we discuss different approaches on how to represent using existing...
In this work, we describe the set of tools comprising Data Access Infrastructure within Advancing Clinic-genomic Trials on Cancer (ACGT), a R&D Project funded in part by European. This infrastructure aims at improving Post-genomic clinical trials providing seamless access to integrated clinical, genetic, and image databases. A data layer, based OGSA-DAI, has been developed order cope with syntactic heterogeneities The semantic problems present sources different nature are tackled two core...
To assess the change in inpatient radiotherapy related to COVID-19 lockdown measures during first wave of pandemic 2020.
Clinical documentation needs to be fine-grained truthfully represent the history, development, and treatment of a patient. But natural language, as main information carrier, is characterized by many issues, like idiosyncratic terminology, spelling grammar errors, lack grammatical structure. Therefore coding systems, ICD-10, have been introduced, but their use varies highly among physicians, they are often used incompletely or incorrectly. The almost exponential growth clinical data yet...
The desideratum of semantic interoperability has been intensively discussed in medical informatics circles recent years. Originally, experts assumed that this issue could be sufficiently addressed by insisting simply on the application shared clinical terminologies or information models. However, use term 'ontology' steadily increasing more recently. We discuss criteria for distinguishing ontologies from and Then, we briefly present role play two multicentric research projects. Finally,...
We present a new source of terminology for transnational data exchange in oncology, emphasizing the integration both clinical and molecular data. In order to achieve best results semantic interoperability, ACGT project provides an ontology on cancer research management. Besides examining pre-existing sources terminology, were view methods development, practices be employed development Master Ontology. The trial management system that is currently developed within ACGTconstitutes central use...
The application of upper ontologies has been repeatedly advocated for to support the interoperability between different domain facilitating shared use data within and across disciplines. BioTop is an ontology that aims at aligning more specialized biomolecular biomedical ontologies. integration Basic Formal Ontology (BFO) objective this study.BFO was manually integrated into BioTop, observing both its free text formal definitions. classes were attached BFO as children reused in definitions...
Information technology has the potential to increase pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies Semantic Web technologies towards this goal. However, number applications have found widespread use among biomedical is still surprisingly small. In paper we present aTag (‘associative tags’) convention, which aims drastically lower entry barriers Web. aTags short snippets HTML+RDFa with...