PPT-ISBD for the Semantic Web:

namespaces elements vocabularies application profile Gordon Dunsire Presented at Centar zu Stalno Stručno Usavršavanje CSSU Zagreb 21 Nov 2011 Semantic Web machinereadable metadata. Prof. O. . Nierstrasz. Thanks to Jens . Palsberg. and Tony Hosking for their kind permission to reuse and adapt the CS132 and CS502 lecture notes.. http://www.cs.ucla.edu/~palsberg/. http://www.cs.purdue.edu/homes/hosking/. １２月７日. 研究会. 祭都援炉. (. マットエンロ. ). Up until now: Getting to know NLP. “Speech and Language Processing” (. Jurafsky. & Martin). 論文：. On-Demand Information Extract . Verbs of Falling and Beyond. Katia. . Rakhilina. (NRU HSE, Moscow). “. Verbs, verb phrases and verbal categories”. 23-25 March. Hebrew University of Jerusalem. BEYOND:. Lexical Typology. Main objectives. Gordon Dunsire. Presented at the Canadian Library Association Annual Conference, 26-29 May 2011, Halifax, Nova Scotia. Outline. Context: evolution of the catalogue record. RDF 101. Library metadata models/schemas in RDF. 4. th. . International Conf. on Biomedical . Ontology . ICBO 2013. 9. th. . Data Integration in Life Science . DILS 2013. 4. th. . Canadian Semantic Web Conference . CSWS 2013. July 2013 at Concordia University in . 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. . challenges : introduction. By. Dr Hester Marais . maraih@unisa.ac.za. . Buzz words. RDA . FRBR, FRAD, etc.. MARC. ISBD. Bibflow. Bibframe. Linked data. Metadata. Buzz words …. Open source . 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 . Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. 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. Introduction. Jeff Heflin. Lehigh University. The Semantic Web. “Semantic” “Web”. Semantic: "of or relating to meaning in language" (Def. Webster’s). Web: The World Wide Web. Official Definition. 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 . . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. 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.