A5103328740- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Business Process Modeling and Analysis
- AI-based Problem Solving and Planning
- Data Quality and Management
- Web Data Mining and Analysis
- Logic, Reasoning, and Knowledge
- Advanced Graph Neural Networks
- Digital Marketing and Social Media
- Natural Language Processing Techniques
- Distributed and Parallel Computing Systems
- Topic Modeling
- Scientific Computing and Data Management
- Data Management and Algorithms
- Big Data and Business Intelligence
- Biomedical Text Mining and Ontologies
- Distributed systems and fault tolerance
- Multi-Agent Systems and Negotiation
- Cognitive Computing and Networks
- Peer-to-Peer Network Technologies
- Context-Aware Activity Recognition Systems
- Privacy-Preserving Technologies in Data
- Recommender Systems and Techniques
- Mobile Agent-Based Network Management
Universität Innsbruck
2015-2024
Wageningen University & Research
2021-2024
University of International Business
2021-2022
University of the Basque Country
2021
Università Cattolica del Sacro Cuore
2021
Bocconi University
2021
University of Milano-Bicocca
2021
Tekniker
2021
Management Center Innsbruck
2008-2017
Forschungszentrum Telekommunikation Wien
2010-2014
Researchers in artificial intelligence first developed ontologies to facilitate knowledge sharing and reuse. Ontologies play a major role supporting information exchange across various networks. A prerequisite for such is the development of joint standard specifying exchanging ontologies. The authors present OIL, proposal standard. applied World Wide Web are creating Semantic Web.
XML and RDF are the current standards for establishing semantic interoperability on Web, but addresses only document structure. better facilitates interoperation because it provides a data model that can be extended to address sophisticated ontology representation techniques. We explain role of ontologies in architecture Semantic Web. then briefly summarize key elements RDF, showing why using as tool will ineffective long run. argue further inference layer is needed top Web's layers,...
Business process management (BPM) is the approach to manage execution of IT-supported business operations from a expert's view rather than technical perspective. However, degree mechanization in BPM still very limited, creating inertia necessary evolution and dynamics processes, does not provide truly unified on space an organization. We trace back problem ontological one, i.e. lack machine-accessible semantics, argue that modeling constructs semantic Web services frameworks, especially...
Data streams occur in modern applications such as sensor network monitoring, traffic engineering, RFID tags applications, telecom call recording, medical record management, financial and clickstreams. On the Web, many sites distribute present information real-time streams. In of these application areas, ability to perform complex reasoning tasks that combine streaming data with evolving knowledge would be great benefit. Stream reasoning—an unexplored, yet high-impact research area—is a new...
Web services can be defined as loosely coupled, reusable software components that semantically encapsulate discrete functionality and are distributed programmatically accessible over standard Internet protocols. have received a lot of hype, the reasons for which not easily determined. Some their benefits might even seem to waste away, once we touch on nitty-gritty details, because per se do offer solution underlying problems. The contributions included in this section delve into some these...
Current semantic Web reasoning systems do not scale to the requirements of their hottest applications, such as analyzing data from millions mobile devices, dealing with terabytes scientific data, and content management in enterprises thousands knowledge workers. In this paper, we present our plan building large collider, a platform for massive distributed incomplete that will remove these scalability barriers. This is achieved by (i) enriching current logic-based methods, (ii) employing...