Digital Media Technology Week 14

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

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?

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

□ 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

Individual research projects

Digital Scholarly Edition

Research based on databases

Data sets

Innovation Lab at Leiden University Library □ Web archiving □ Born digital special collections □ Crowdsourcing □ Presentation of eBooks □ Repository Infrastructure □ Centre for Digital Scholarship □ Exhibitions

Visualisations

SELECT MIN(DATE), MAX(DATE) FROM LETTER ;

SELECT LATITUDE, LONGITUDE, NAME FROM LETTER, CITY WHERE PLACE_SENT = CITY_ID AND DATE > 1850 AND DATE < 1860 ;

1860s 1870s

SELECT DATE, COUNT(*) FROM LETTER WHERE DATE < 1880 AND LANGUAGE = 'dut‘ GROUP BY DATE

German English

SELECT DATE, COUNT(*) FROM LETTER WHERE LANGUAGE = 'dut' GROUP BY DATE

German English

SELECT DATE, COUNT(*) / ( SELECT COUNT(*) FROM LETTER WHERE DATE = L.DATE ) FROM LETTER L WHERE LANGUAGE = 'eng' GROUP BY L.DATE ;

English

French

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 ;

Elzevier topics

SELECT FIRST_NAME, COUNT(*) FROM BOOK B, PERSON P WHERE B.PUBLISHER = P.P_ID GROUP BY PUBLISHER