Digital Media Technology

Slides:



Advertisements
Similar presentations
Logics for Data and Knowledge Representation Projects and thesis introduction.
Advertisements

Semantic Web Introduction
Linked Data for Libraries, Archives, Museums. Learning objectives Define the concept of linked data State 3 benefits of creating linked data and making.
The Semantic Web. The Web Today Designed for Human to read Cannot express meaning Architecture: URL –Decentralized: Link structure Language: html.
Digital Media Technology Week 1: Introduction Peter Verhaar.
StatCat Building a Statistical Data Finder ssrs.yale.edu/statcat Steven Citron-Pousty Ann Green Julie Linden Yale University.
Leiden University. The university to discover. DMT Week 1 Adriaan van der Weel and Peter Verhaar.
Leiden University. The university to discover. DMT 2009 Week 2 Adriaan van der Weel.
Semantic Web The Web with Semantics. What is the Semantic Web?  Knowledge Representation on the (decentralized) web.  Definitions from Google Definitions.
The Semantic Web Week 1 Module Content + Assessment Lee McCluskey, room 2/07 Department of Computing And Mathematical Sciences Module.
The Future of the Document Paper is OUT Trees are IN UVic Humanities Computing and Media Centre.
Intelligent Systems Semantic Web. Aims of the session To introduce the basic concepts of semantic web ontologies.
RDF: Building Block for the Semantic Web Jim Ellenberger UCCS CS5260 Spring 2011.
Digital Media Technology Week 8: XSLT 3. Seminar 11 November □ One long seminar (four hours) □ Exports from UBL catalogue □ Records contain data about.
Contents:  1 – Introduction to the subject of web mining and techniques  2 – Overview of research conducted (both theory and practical)  3 – Software.
Digital Text and Data Processing Week 7. □ POS: total counts: normalise by token count □ Unicode support □ Synchronic and diachronic variation (dialects.
Managing Large RDF Graphs (Infinite Graph) Vaibhav Khadilkar Department of Computer Science, The University of Texas at Dallas FEARLESS engineering.
Digital Media Technology Week 8. Digital Lifecycle.
Practical RDF Chapter 1. RDF: An Introduction
Michalis Vafopoulos NTUA, GFOSS & The transformers GREEN CITY HACKATHON.
The Semantic Web Web Science Systems Development Spring 2015.
Leiden University. The university to discover. DMT Week 3 Adriaan van der Weel and Peter Verhaar.
Digital Media Technology Week 2: XML Basics Peter Verhaar.
Digital Media Technology Week 5: XML and Presentation Peter Verhaar.
Introduction to the Semantic Web and Linked Data Module 1 - Unit 2 The Semantic Web and Linked Data Concepts 1-1 Library of Congress BIBFRAME Pilot Training.
Review Computers in Humanities Education Geoffrey M. Rockwell x Togo Salmon 309A URL:
KAnOE: Research Centre for Knowledge Analytics and Ontological Engineering Managing Semantic Data NACLIN-2014, 10 Dec 2014 Dr. Kavi Mahesh Dean of Research,
Digital Media Technology Week 7: XSLT 3. Characteristics of digital models □ “a set of ontological commitments” □ Expressed in a “formal language”
Paloma Marín Arraiza 17 th International Conference on Grey Literature 1 st and 2 nd December 2015, Amsterdam (Netherlands) SCIENTIFIC AUDIOVISUAL MATERIALS.
Digital Media Technology Week 10: Introduction to Relational Databases Peter Verhaar.
© The ATHENA Consortium. Susan Thomas SAP AG, Research Department How do you do semantics? Semantic Web Drawings by Sebastian Cremers Unit 3:
Digital Media Technology Week 14. xml xslt tei css html unicode erd ascii sql php marc/xml Artificial Intelligence Digital Humanities Semantic Web Medium.
Presenting Semantic Data Through “Instance Hubs” Using Authoritative URI Design Schemes Alexei Bulazel 1 ( ), Dominic Difranzo 1 (
Chapter 5 The Semantic Web 1. The Semantic Web  Initiated by Tim Berners-Lee, the inventor of the World Wide Web.  A common framework that allows data.
Linked Open Data for European Earth Observation Products Carlo Matteo Scalzo CTO, Epistematica epistematica.
1 RDF Storage and Retrieval Systems Jan Pettersen Nytun, UiA.
Digital Media Technology
Linked Data Web that can be processed by machines
Introduction to Persistent Identifiers
Conceptualizing the research world
Digital Media Technology
Building the Semantic Web
RDF and RDB 1 Some slides adapted from a presentation by Ivan Herman at the Semantic Technology & Business Conference, 2012.
WEB INFO COMPUTER INSTITUTE
Repository Software - Standards
VCE Computing Units 1 & 2.
Digital Media Technology
Rob Gleasure IS3320 Developing and Using Management Information Systems Lecture 1: Introduction to IS3320 Rob Gleasure.
Knowledge Management Systems
A Level Information Communication Technology AQA (2520)
YourDataStories: Transparency and Corruption Fighting through Data Interlinking and Visual Exploration Georgios Petasis1, Anna Triantafillou2, Eric Karstens3.
INTRODUCTION TO DIGITAL HUMANITIES
Intro to DH: what is DH & where did it come from?
Overview of INIS IT systems and applications
RDF For Semantic Web Dhaval Patel 2nd Year Student School of IT
Lifecycle Metadata for Digital Objects
VCE Computing Units 3 & 4: Informatics
musicSpace Principle investigator: dr monica mc schraefel
Dimitar Iliev, PhD Dobromir Dobrev
Advanced Higher Specialist Study Unit
Research methods pedagogy in the digital era
COMP62342: Ontology Engineering for the Semantic Web
Magic with Moodle Using wikis to create a student knowledge hub
سنوات خدمت در تربیت معلم: 15سال پردیس/مرکز محل خدمت: بحرالعلوم شهرکرد
Introduction of Week 11 Return assignment 9-1 Collect assignment 10-1
LOSD Publication Deirdre Lee
CSIRO ICT Centre Conference
Understanding RDF/Linked Data for Potential Non-Clinical Use
Computer Applications -Generic Elective
Semantic Web The Web with Semantics.
Presentation transcript:

Digital Media Technology Week 13: LOD and Course Wrap-up Peter Verhaar

xml dtd php ascii tei xslt mods erd css html unicode sql

Similarities between technologies Ontologies: DTD and ERD Data formats: XML or formats in relational databases Manipulations: XSLT and SQL

Critique of technologies Critical thinking about tools and techniques: “Critical Digital Humanities” All techniques also have limitations; they are based on assumptions which may be questioned XML, for instance, assumes that all texts have a hierarchical structure

Digital Humanities Focus on the various ways in which the computer can be used to investigate traditional questions in the humanities “things […] that could not be done feasibly without the computational power and storage modern computers provide” (Philip Burns, Day of DH 2013)

It brings computational techniques to bear on traditional humanistic questions It studies the phenomenon of computation from a humanities perspective, and aims to understand the implications of using computers in humanities research

Critical Digital Humanities cf. Alan Liu “Where is Cultural Criticism in the Digital Humanities?” or David Berry, The Philosophy of Software Social and cultural implications of software, cf. Langdon Winner Effects on the research agenda

Differences with traditional research The work is of a practical nature (‘more hack and less yack’) It leads to different (non-textual) forms of output Difficult to make such results count in assessment of scholarly productivity Collaborative form of research New questions? GIS

Institutionalisation at LU Centre for Digital Humanities Leiden University Centre for Data Science Centre for Digital Scholarship GIS

Digital Text and Data Processing Relatively new specialisation Distant reading; Quantitative analyses of literature Programming in Perl Statistical analyses using R No prior knowledge is needed

Individual research projects

Seminar 13 december A second ’hackathon’ Based on the same data set Implemented as a relational database SQL to analyse the data and to make visualisations

BOOK_ID TITLE ISBN13 1 To Kill a Mockingbird 9780446310789 2 The Great Gatsby 9781853260414 subject: “Book-ID” Predicate: “hasISBN13” Object: “9780446310789” subject: “Book-ID” Predicate: “hasTitle” Object: “To Kill a Mockingbird”

The Semantic web Envisaged by Tim Berners-Lee as “a web of data that can be processed directly and indirectly by machines” RDF-Triples

http://lod-cloud.net/

dbPedia

STCN SPARQL Endpoint SELECT * WHERE { ?b dc:publisher ?p. ?p skos:prefLabel "Elzevier, Bonaventura". ?b dc:title ?t }