Information Sharing on the Semantic Web:Advanced Information and Knowledge Processing. 2005. Auflage Heiner Stuckenschmidt, Frank van Harmelen
Information Sharing on the Semantic Web:Advanced Information and Knowledge Processing. Softcover reprint of hardcover 1st ed. 2005 Frank Van Harmelen, Heiner Stuckenschmidt
Information Sharing on the Semantic Web:Auflage 2005 Heiner Stuckenschmidt, Frank van Harmelen, Heiner Stuckenschmidt, Frank van Harmelen
This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL and GeoSPARQL and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability. Chuanrong Zhang is currently an associate professor at University of Connecticut and holds a joint appointment with Department of Geography and the Center for Environmental Sciences and Engineering (CESE). She received her PhD degree in GIS from University of Wisconsin, Milwaukee in 2004. She has several years of working experience in computer companies. Her current research interests include Internet GIS, spatial statistics, and applications of these techniques in natural resource and environmental management. Tian Zhao obtained his Ph.D. degree in Computer Science from Purdue University in 2002. He is currently an associate professor at University of Wisconsin, Milwaukee. His research interests include programming languages, type systems, program analysis, parallel programming, Geospatial Semantic Web, and GIS. Weidong Li is currently a professor in geospatial information engineering at Huazhong Agricultural University, and also a research professor at University of Connecticut. He received a Masters degree in computer science from Marquette University and obtained a PhD degree in soil and water science in 1995 from China Agricultural University. His research interest is focused on geostatistics, Internet GIS, and geoinformatics for natural resource management.
The papers presented in this volume advance the state-of-the-art research on digital marketing and social media, mobile computing and responsive web design, semantic technologies and recommender systems, augmented and virtual reality, electronic distribution and online travel reviews, MOOC and eLearning, eGovernment and sharing economy. This book covers the most significant areas contributed by prominent scholars from around the world and is suitable for both academics and practitioners who are interested in the latest developments in eTourism. Alessandro Inversini is senior lecturer at Bournemouth University Faculty of Management (United Kingdom). His research interests are where communication, tourism and new media overlap, ranging from design to evaluation of tourism websites, from online communication to branding and reputation, from eCommerce to eLearning. Roland Schegg is a professor at the Institute of Tourism at the University of Applied Sciences and Arts of Western Switzerland/Valais (HES-SO Valais). Between 2000 and 2004 he was with the Ecole Hôtelière de Lausanne (EHL). He earned his BS from the Swiss Federal Institute for Technology (ETH) in Zurich and his PhD from the University of Geneva. His research interests are in the field of eTourism (online distribution, eService metrics, technology adoption, web 2.0 and mobile technologies in tourism).
This book presents state-of-the-art research into the application of information and communication technologies to travel and tourism. The range of topics covered is broad, encompassing digital marketing and social media, mobile computing and web design, semantic technologies and recommender systems, augmented and virtual reality, electronic distribution and online travel reviews, MOOC and eLearning, eGovernment, and the sharing economy. There is a particular focus on the development of digital strategies, the impact of big data, and the digital economy. In addition to the description of research advances and innovative ideas, readers will find a number of informative industrial case studies. The contents of the book are based on the 2017 ENTER eTourism conference, held in Rome. The volume will be of interest to all academics and practitioners who wish to keep abreast of the latest developments in eTourism. Roland Schegg is a professor at the Institute of Tourism at the University of Applied Sciences and Arts of Western Switzerland/Valais (HES-SO Valais). Between 2000 and 2004 he was with the Ecole Hôtelière de Lausanne (EHL). He earned his BS from the Swiss Federal Institute for Technology (ETH) in Zurich and his PhD from the University of Geneva. His research interests lie in the field of eTourism (online distribution, eService metrics, technology adoption, web 2.0, and mobile technologies in tourism). Brigitte Stangl holds a doctorate (August 2010) and two masters degrees (2006, 2007) from the Vienna University of Economics and Business (WU Vienna). During her studies, she specialized in Tourism and Leisure Studies and Small Business and Entrepreneurship. Between 2006 and 2010, she undertook duties as a Research and Teaching Assistant at the Institute for Tourism and Leisure Studies, WU Vienna. From November 2010 to March 2012, she worked as a project manager at the Institute for Tourism and Leisure Research, HTW Chur, Switzerland. In May 2012, she joined the School of Hospitality and Tourism Management as a Lecturer in Tourism. Her main research interests are related to e-tourism and lie in the areas of decision support systems, web design, web 2.0, web 3D, and virtual realities. Her research is interdisciplinary, mainly relating to the fields of tourism, marketing, information systems, and psychology.
This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks. Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.
This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and standard data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps. It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions. About the Editors : Jeff Z. Pan is a Reader (Professor) at University of Aberdeen. He is the Chief Scientist of the EC Marie Curie K-Drive project and has edited many books/proceedings on Semantic Technologies and Linked Data. He is well known for his work on knowledge construction, reasoning and exploitation. Guido Vetere leads the IBM Center for Advanced Studies Italy. He has led/worked in many research and development projects in KR, NLP and ontology. He also leads Senso Comune (www.sensocomune.it), a collaborative initiative for building an open KB of the Italian language. Jose Manuel Gomez-Perez is the Director R&D at Expert System Iberia (ESI). His expertise is on supporting users in creating, sharing, and accessing knowledge. He has a long experience in European R&D projects, privately-funded technology transfer activities and R&D projects. Honghan Wu is a data scientist in NIHR Maudsley Biomedical Research Centre at Kings College London. His current research focus is on annotating, analysing and searching large scale healthcare data by utilising Knowledge Graph techniques.