Patrik Schneider

ORCID: 0000-0003-2973-5097
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Logic, Reasoning, and Knowledge
  • Geographic Information Systems Studies
  • Multi-Agent Systems and Negotiation
  • Data Quality and Management
  • Service-Oriented Architecture and Web Services
  • Web Data Mining and Analysis
  • Data Mining Algorithms and Applications
  • Constraint Satisfaction and Optimization
  • Traffic control and management
  • Ombudsman and Human Rights
  • Transportation Planning and Optimization
  • Software Engineering Techniques and Practices
  • Traffic Prediction and Management Techniques
  • Sport and Mega-Event Impacts
  • AI-based Problem Solving and Planning
  • Taxation and Legal Issues
  • Biomedical Text Mining and Ontologies
  • Adventure Sports and Sensation Seeking
  • Tourism, Volunteerism, and Development
  • Logic, programming, and type systems
  • Digital Humanities and Scholarship

Siemens (Germany)
2017-2024

TU Wien
2011-2024

Siemens (Austria)
2017-2021

University of Sheffield
2019

Vienna University of Economics and Business
2015

With the increasing availability of Cooperative Intelligent Transport Systems, Local Dynamic Map (LDM) is becoming a key technology for integrating static, temporary, and dynamic information in geographical context. However, existing ideas do not leverage full potential LDM approach, as an contains streaming data varying implicit which are captured by current models. We aim to provide semantically enriched that applies Semantic Web technologies, particular ontologies, combination with...

10.1007/s13177-018-0154-x article EN cc-by International Journal of Intelligent Transportation Systems Research 2018-03-26

Due to the rapid development of Internet Things (IoT) and consequently, availability more IoT data sources, mechanisms for searching integrating sources become essential leverage all relevant improving processes services. This paper presents search framework IoTCrawler. The IoTCrawler is not only another framework, it a system systems which connects existing solutions offer interoperability overcome fragmentation. In addition its domain-independent design, features layered approach, offering...

10.3390/s21051559 article EN cc-by Sensors 2021-02-24

10.1007/s13177-014-0098-8 article EN International Journal of Intelligent Transportation Systems Research 2014-08-04

DBpedia is one of the biggest and most important focal point Linked Open Data movement. However, in spite its multiple services, it lacks a wayback mechanism to retrieve historical versions resources at given timestamp past, thus preventing systems work on full history RDF documents. In this paper, we present framework that serves publicly offered through Web UI RESTful API, following principles.

10.1145/2814864.2814889 article EN 2015-09-16

Several institutions collect statistical data about cities, regions, and countries for various purposes. Yet, while access to high quality recent such is both crucial decision makers a means achieving transparency the public, all too often collections of remain isolated not re-usable, let alone comparable or properly integrated. In this paper we present Open City Data Pipeline, focused attempt collect, integrate, enrich collected at city level worldwide, re-publish resulting dataset in...

10.2139/ssrn.3199313 article EN SSRN Electronic Journal 2018-01-01

Abstract Background parkrun is an international organisation which hosts free, weekly volunteer-led, running events. More than 300,000 people participate across 21 countries each week. The present study investigates how access to, and participation in, events varies England. We go on to make policy recommendations for new event locations, in order maximise geographical whilst taking account of the impact inequalities. Methods combined location data census areas, public parks For was defined...

10.1093/eurpub/ckz186.432 article EN European Journal of Public Health 2019-11-01
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