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Digital Media Technology Week 14
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xml xslt tei css html unicode erd ascii sql php marc/xml Artificial Intelligence Digital Humanities Semantic Web Medium neutrality Linked Open Data Big Data
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Similarities between technologies □ Ontologies: DTD and ERD □ Data formats: XML or formats in relational databases □ Manipulations: XSLT and SQL John Unsworth, What is Humanities Computing and What is Not?
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Critique of technologies □ All techniques also have limitations; they may be based on questionable assumptions □ XML, for instance, assumes that all texts have a hierarchical structure □ Critical thinking about tools and techniques
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□ New specialisation □ Distant reading; Quantitative analyses of literature □ Programming in Perl □ Statistical analyses using R □ No prior knowledge is needed Digital Text and Data Processing
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Individual research projects
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Digital Scholarly Edition
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Research based on databases
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Data sets
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Innovation Lab at Leiden University Library □ Web archiving □ Born digital special collections □ Crowdsourcing □ Presentation of eBooks □ Repository Infrastructure □ Centre for Digital Scholarship □ Exhibitions
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Visualisations
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SELECT MIN(DATE), MAX(DATE) FROM LETTER ; 1850-1910
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SELECT LATITUDE, LONGITUDE, NAME FROM LETTER, CITY WHERE PLACE_SENT = CITY_ID AND DATE > 1850 AND DATE < 1860 ;
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1860s 1870s
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1880 - 1910
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SELECT DATE, COUNT(*) FROM LETTER WHERE DATE < 1880 AND LANGUAGE = 'dut‘ GROUP BY DATE
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German English
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SELECT DATE, COUNT(*) FROM LETTER WHERE LANGUAGE = 'dut' GROUP BY DATE
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German English
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SELECT DATE, COUNT(*) / ( SELECT COUNT(*) FROM LETTER WHERE DATE = L.DATE ) FROM LETTER L WHERE LANGUAGE = 'eng' GROUP BY L.DATE ;
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English
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French
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SELECT S.SUBJECT, COUNT(*) FROM BOOK B, CLASSIFICATION C, SUBJECT S WHERE C.BOOK = B.BOOK_ID AND C.SUBJECT = S.SUBJECT_CODE GROUP BY S.SUBJECT HAVING COUNT(S.SUBJECT) 10 ;
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Elzevier topics
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SELECT FIRST_NAME, COUNT(*) FROM BOOK B, PERSON P WHERE B.PUBLISHER = P.P_ID GROUP BY PUBLISHER
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