SaW 2015 - 2015 International Workshop on Semantic and Web

One major aim of the Semantic Web is to enable a machine-processable Web of data. Hence the Semantic Web community regards the Semantic Web as extension of the traditional web. On the other hand applications of the Semantic Web rely deeply on web technologies in order to work in a distributed fashion world-wide.
The goal of this workshop is to bring together researchers from these communities to address the challenges in Semantic Web and Web technologies in cooperation. We are especially interested in papers demonstrating how new technologies of the Web and Semantic Web complete each other. We also welcome papers with focus on and contribution to any of the two areas, including new approaches, techniques and applications, with substantial theoretical and empirical contributions to, and significant advancement of the state of the art of Web and/or Semantic Web.
We welcome papers on the following (incomplete) list of topics. We especially welcome papers combining the Semantic and Web Technologies worlds and having contributions in both areas.
Semantic Web
Semantic Data Management and Optimization (Big Data, Cloud Computing, Graph Databases, Federations, Spatial Data)
Semantic Web Applications in specific domains, e.g., Life Science, e-Government, e-Environment, e-Health, e-Learning, e-Business, e-Commerce
Rule-based Languages like RIF and SWRL
Ontology-based Approaches for Modelling, Mapping, Evolution and Real-world ontologies
Reasoning Approaches (Real-World Applications, Efficient Algorithms)
Linked Data (Integration of Heterogeneous Linked Data, Real-World Applications, Statistics and Visualizations, Quality, Ranking Techniques, Provenance, Mining and Consuming Linked Data)
Semantic Web stream processing (Dynamic Data, Temporal Semantics)
Semantic Internet of Things, Semantic Smart Homes/Companies/Cities
Performance, Evaluation and Benchmarking of Semantic Web Technologies, Applications and Databases
Semantic Web Services
Microformats, RDFa, Microdata, JavaScript Object Notation for Linked Data (JSON-LD), GRDDL, Open Graph protocol
Web Technologies
Web protocols and standards
Web Components
New forms of Web Applications
Web Security and Privacy
Web and Online Trust
Web Usability
Web Mining
Web Information Retrieval
e-Commerce
e-Business
e-Government
e-Society
e-Learning
e-Health
Web Services
Web Big Data
Web X.0
Web Science
XML technologies
Web search
Social Networks
Mobile Web
Web games
Internet of Services
Internet of Things, Smart Homes/Companies/Cities
Program Committee
Our technical program committee consists of following experts:
Muhammad Intizar Ali, DERI, National University of Ireland, Ireland
Carlos Buil Aranda, PUC, Chile
Melike Sah Direkoglu, Near East University, North Cyprus
Vadim Ermolayev, Zaporozhye National University, Ukraine
Javier D. Fernández, Vienna University of Economics and Business, WU Vienna, Austria
Panagiotis Germanakos, University of Cyprus, Cyprus
Katja Gilly de La Sierra-Llamazares, Miguel Hernandez University, Spain
Le Gruenwald, University of Oklahoma, USA
Dennis Heinrich, University of Lübeck, Germany
Prudhvi Janga, University of Cincinnati and Amazon Web Services, USA
Carlos Juiz, Universitat de les Illes Balears, Spain
Herbert Kuchen, University of Münster, Germany
Wookey Lee, Inha University, Korea
Isaac Lera, Universitat de les Illes Balears, Spain
Nuno Lopes, Smarter Cities Technology Centre, IBM Research, Dublin
Fadi Maali, National University of Ireland Galway, Ireland
Grażyna Paliwoda-Pękosz, Cracow University of Economics, Poland
Richard Picking, Glyndwr University, UK
Alfredo Pulvirenti, University of Catania, Italy
Ismael Sanz, Universitat Jaume I, Spain
Dezhao Song, Research and Development of Thomson Reuters, USA
Juergen Umbrich, Vienna University of Economics and Business, Vienna, Austria
Stefan Werner, University of Lübeck, Germany
Dimitrios Zissis, University of the Aegean, Greece
Organization/PC chairs
Sven Groppe (University of Lübeck) earned his diploma degree in Informatik (Computer Science) in 2002 and his Doctor degree in 2005 from the University of Paderborn. He earned his habilitation degree in 2011 from the University of Lu?beck. He worked in the European projects B2B-ECOM, MEMPHIS, ASG and TripCom. He was a member of the DAWG W3C Working Group, which developed SPARQL. He was the project leader of the DFG project LUPOSDATE, and is currently the project leader of two research projects, which research on FPGA acceleration of relational and Semantic Web databases. His research interests include Semantic Web, query and rule processing and optimization, Cloud Computing, peer-to-peer (P2P) networks, Internet of Things, data visualization and visual query languages.
Paulo Rupino da Cunha (University of Coimbra) is Assistant Professor of Information Systems and the head of the IS Group at the Faculty of Science and Technology of the University of Coimbra, Portugal, Director of Informatics and Systems Lab of Instituto Pedro Nunes (IPN), a non-profit association for Innovation and Technology Transfer. Paulo holds a Ph.D. (2001) and a M.Sc. (1997) in Informatics Engineering from the University of Coimbra. He has been Adjunct Associate Teaching Professor in the School of Computer Science at Carnegie Mellon, USA, from May 2009 to Dec 2012, and Visiting Associate at Brunel University, UK, from 2008 to 2010. He has been the Vice-President of the Board of Instituto Pedro Nunes and of IPN-Incubadora - the recipient of the 2010 Word's Best Science Based Incubator Award. For a period of three years, he was the elected Coordinator of the Informatics Engineering Chapter for the centre region of Portugal of the Portuguese Engineering Association (Ordem dos Engenheiros), and for a two year term he was a member of the Executive Committee of the Department of Informatics Engineering of the University of Coimbra. Has been involved in information systems and software engineering projects for several private and public organisations and regularly participates in the evaluation of R&D projects and start-up pitches. Presently focused on cloud, service systems and business models.