PDF-International Journal of Web Semantic Technology IJWe

5 No3 July 2014 DOI 105121ijwest20145302 17 Deepshree A Vadeyar Yogish HK Department of Computer Science and Engineering EWIT Bangalore Department of Computer Science and Engineering EWIT Bangalore ABSTRACT Website can be easily design but to effici. 2 No2 April 2011 DOI 105121ijwest20112205 59 Farhad Mardukhi Naser NematBaksh and Kamran Zamanifar Department of Computer Engineering University of I sfahan Isfahan Mardukhi Nemat Zamanifarenguiacir BSTRACT Business corporations usually require chor International Journal of Web & Semantic Technology (IJWesT) Vol.3, No.1, January 2012 2 Web 2.0 was defined by Dale Dougherty in 2004 as a read-write web [7]. The technologies of web 2.0 allow assembl Katrin Erk. University of Texas at . Austin. Meaning in Context Symposium. München. September 2015. Joint work with Gemma . Boleda. Semantic features by example: . Katz & Fodor. Different meanings of a word characterized by lists of semantic features. Mediation Bus™: An Ontology-based Runtime Infrastructure for Service Interoperability. alionscience.com/semantic. Agenda. Background: SOA and Semantic Technology. Semantic Service Provisioning. Semantic Mediation. From Semantic Web Programming by J. . Hebeler. et al., . Semantic Web. Represents data in formats amenable to automated processing, integration, and reasoning. . Data is king and it provides even greater value when connected with other data sources to create a linked data web. . Notable Opinions. . 1. . The . success of . equivalent . effect is . ‘. illusory’. 2. The . most crucial problem in . translation theory . and practice will always be:. ‘the conflict of loyalties’ and. Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. Module 1 - . Part . 1. The . Semantic Web and Linked Data . Concepts: . A . basic overview . . 1-. 1. Library of . Congress. BIBFRAME Pilot Training . for Catalogers. Overview. Context . Goals . of the . Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Prof. Dr. Ralf Möller. Universität zu Lübeck. Institut für Informationssysteme. Tanya Braun (Übungen). Acknowledgements. Slides by: Scott . Wen-tau . Yih. Describing joint work of Scott Wen-tau . PRESENTED BY . Peter Mika, Sr. Research Scientist, Yahoo Labs. . ⎪ . November 27, . 2014 . The Semantic Web (2001-). 11/27/14. 2. Part of Tim . Berners-Lee’s . original proposal . for the . Web. Introduction. Semantic Role Labeling. Agent. Theme. Predicate. Location. Can we figure out that these have the same meaning?. XYZ . corporation . bought. the . stock.. They . sold. the stock to XYZ . Cultural Heritage (CH) data is syntactically and semantically heterogeneous multilingual semantically rich and highly interlinked. It is produced in a distributed open fashion by museums libraries archives and media organizations as well as individual persons. Managing publication of such richness and variety of content on the Web and at the same time supporting distributed interoperable content creation processes poses challenges where traditional publication approaches need to be re-thought. Application of the principles and technologies of Linked Data and the Semantic Web is a new promising approach to address these problems. This development is leading to the creation of large national and international CH portals such as Europeana to large open data repositories such as the Linked Open Data Cloud and massive publications of linked library data in the U.S. Europe and Asia. Cultural Heritage has become one of the most successful application domains of Linked Data and Semantic Web technologies. This book gives an overview on why when and how Linked (Open) Data and Semantic Web technologies can be employed in practice in publishing CH collections and other content on the Web. The text first motivates and presents a general semantic portal model and publishing framework as a solution approach to distributed semantic content creation based on an ontology infrastructure. On the Semantic Web such an infrastructure includes shared metadata models ontologies and logical reasoning and is supported by shared ontology and other Web services alleviating the use of the new technology and linked data in legacy cataloging systems. The goal of all this is to provide layman users and researchers with new more intelligent and usable Web applications that can be utilized by other Web applications too via well-defined Application Programming Interfaces (API). At the same time it is possible to provide publishing organizations with more cost-efficient solutions for content creation and publication. This book is targeted to computer scientists museum curators librarians archivists and other CH professionals interested in Linked Data and CH applications on the Semantic Web. The text is focused on practice and applications making it suitable to students researchers and practitioners developing Web services and applications of CH as well as to CH managers willing to understand the technical issues and challenges involved in linked data publication. Table of Contents Cultural Heritage on the Semantic Web / Portal Model for Collaborative CH Publishing / Requirements for Publishing Linked Data / Metadata Schemas / Domain Vocabularies and Ontologies / Logic Rules for Cultural Heritage / Cultural Content Creation / Semantic Services for Human and Machine Users / Conclusions C. Binding, K. May. 1. , R. Souza, D. Tudhope, A. Vlachidis. Hypermedia Research Unit, University of Glamorgan. 1. English Heritage. STAR Project - Aims. In. vestigate semantic technologies for integrating and cross searching datasets and associated grey literature.