Semantic technologies for historical research: A survey

Semantic Web

Volumn 6, Issue 6, 2014, Pages 539-564

  Meroño Peñuela, Albert ^a,b   Ashkpour, Ashkan ^c   Van Erp, Marieke ^a   Mandemakers, Kees ^c   Breure, Leen ^d   Scharnhorst, Andrea ^b   Schlobach, Stefan ^a   Van Harmelen, Frank ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b Data Archiving and Networked Services   (Netherlands)

^c INTERNATIONAL INSTITUTE OF SOCIAL HISTORY   (Netherlands)

^d UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Digital Humanities; Historical research; Semantic Web

Indexed keywords

EID: 84946576242     PISSN: 15700844     EISSN: 22104968     Source Type: Journal    
DOI: 10.3233/SW-140158     Document Type: Article

References (142)

1. Agora Project, http://agora.cs.vu.nl.
2. Atlas.ti, http://www.atlasti.com/index.html.
3. I. Anderson, History and computing, Making History, 2008. http://www.history.ac.uk/makinghistory/resources/articles/history-and-computing.html.
4. G. Antoniou and F. van Harmelen, A Semantic Web Primer (Cooperative Information Systems), The MIT Press, Cambrdige, Massachusetts, April 2004.
5. Armadillo: Historical Data Mining Project, http://www.hrionline.ac.uk/armadillo/armadillo.html.
6. AskSam, https://www.asksam.com/.
7. I. Augenstein, S. Padó and S. Rudolph, LODifier: Generating linked data from unstructured text, in: Proceedings of the 9th Extended Semantic Web Conference on The Semantic Web: Research and Applications, ESWC 2012, E. Simperl, P. Cimiano, A. Polleres, O. Corcho and V. Presutti, eds, LNCS, Vol. 7295, Springer-Verlag, Berlin, Heidelberg, 2012, pp. 210-224.
8. F. Baader, I. Horrocks and U. Sattler, Description logics as ontology languages for the Semantic Web, in: Mechanizing Mathematical Reasoning, D. Hutter and W. Stepahn, eds, LNCS, Vol. 2605, Springer-Verlag, Berlin, Heidelberg, 2005, pp. 228-248.
9. C. Beghtol, Classification theory, Encyclopedia of Library and Information Science (2010), 1045-1060.
10. J.R. Benjamin, A Student's Guide to History, Bedfors/St. Martin's, Boston, 2004.
11. T. Berners-Lee, Linked Data-Design Issues, http://www.w3. org/DesignIssues/LinkedData.html.
12. T. Berners-Lee and J. Jaffe, TheWorldWideWeb Consortium (W3C), http://www.w3.org/.
13. T. Berners-Lee, J. Hendler and O. Lassila, The SemanticWeb, Scientific American 284(5) (2001), 34-43.
14. D.M. Berry, ed., Understanding Digital Humanities, Palgrave Macmillian, New York, 2012.
15. O. Boonstra, L. Breure and P. Doorn, Past, Present and Future of Historical Information Science, 1st edn, NIWI-KNAW, Amsterdam, 2004.
16. B. Bos and G.Welling, The significance of user-interfaces for historical software, in: Proceedings of the Eight International Conference of the Association for History and Computing, 1995, pp. 223-236.
17. P. Bouquet, F. Giunchiglia, F. van Harmelen, L. Serafini and H. Stuckenschmidt, Contextualizing ontologies, Journal of Web Semantics: Science, Services and Agents on the World Wide Web 1(4) (2004), 325-343.
18. BRIDGE Project, http://ilps.science.uva.nl/node/735.
19. M. Bron, B. Huurnink and M. de Rijke, Linking archives using document enrichment and term selection, in: Proceedings of the 15th International Conference on Theory and Practice of Digital Libraries on Research and Advanced Technology for Digital Libraries, LNCS, Vol. 6966, Springer-Verlag, Berlin, Heidelberg, 2011, pp. 360-371.
20. CCEd Project, http://www.theclergydatabase.org.uk/publications/jeh-article.html.
21. CEDAR Project, http://www.cedar-project.nl/.
22. E. Charniak and D. McDermott, Introduction to Artificial Intelligence, Addison-Wesley Series in Computer Science, Addison-Wesley, Boston, 1985.
23. CHORAL Project, http://hmi.ewi.utwente.nl/choral/.
24. Circulation of Knowledge and Learned Practices in the 17th-century Dutch Republic (CKCC Project), http://ckcc. huygens.knaw.nl/.
25. CLARIN-VK Project, http://verrijktkoninkrijk.nl/.
26. E.F. Codd, Derivability, redundancy, and consistency of relations stored in large data banks, Technical Report RJ599, IBM Research, San Jose, California, 1969.
27. P. Constantopoulos, M. Doerr, M. Theodoridou and M. Tzobanakis, Historical documents as monuments and as sources, in: Proceedings of the 37th International Conference on Making History Interactive. Computer Applications and Quantitative Methods in Archaeology (CAA), B. Frischer, J.W. Crawford and D. Koller, eds, BAR International Series, Vol. S2079, Archaeopress, Oxford, 2009.
28. CultureSampo-Finnish Culture on the Semantic Web 2.0: Thematic Perspectives for the End-user, http://www.museumsandtheweb.com/mw2009/papers/hyvonen/hyvonen.html.
29. Data Portal for Social Sciences Open Data with SPARQL Endpoint, http://www.rechercheisidore.fr/.
30. S. Dormans and J. Kok, An alternative approach to large historical databases. Exploring best practices with collaboratories, Historical Methods: A Journal of Quantitative and Interdisciplinary History 43(3) (2010), 97-107.
31. A. Esteve and M. Sobek, Challenges and methods of international census harmonization, Historical Methods: A Journal of Quantitative and Interdisciplinary History 36(2) (2003), 37-41.
32. Europeana Data Model (EDM) Documentation, http://pro. europeana.eu/edm-documentation.
33. Fawcett: A Toolkit to Begin an Historical Semantic Web, http://www.digitalstudies.org/ojs/index.php/digital-studies/article/view/175/217.
34. FDR Pearl Harbor Project, http://www.fdrlibrary.marist.edu/.
35. M. Feeney and S. Ross, Information technology in humanities scholarship british achievements, prospects, and barriers. Historical Social Research 19(1) (1994), 3-59.
36. G. Flouris, D. Manakanatas, H. Kondylakis, D. Plexousakis and G. Antoniou, Ontology change: Classification and survey, The Knowledge Engineering Review 23(2) (2008), 117-152.
37. FrameNet, https://framenet.icsi.berkeley.edu/fndrupal/.
38. FRED, http://wit.istc.cnr.it/stlab-tools/fred.
39. A. Gangemi, A comparison of knowledge extraction tools for the Semantic Web, in: Proceedings of the 10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013, LNCS, Vol. 7882, Springer-Verlag, Berlin, Heidelberg, 2013.
40. Gapminder, http://www.gapminder.org/.
41. GATE, http://gate.ac.uk/.
42. R. Goeken, M. Bryer and C. Lucas, Making sense of census responses coding complex variables in the 1920 PUMS, Historical Methods: A Journal of Quantitative and Interdisciplinary History 32(3) (1999), 37-41.
43. T.R. Gruber, Toward principles for the design of ontologies used for knowledge sharing, International Journal Human-Computer Studies 43 (1993), 907-928.
44. H-BOT Project, http://chnm.gmu.edu/tools/h-bot/.
45. B. Haslhofer, R. Simon, R. Sanderson and H. van de Sompel, The open annotation collaboration (OAC) model, Computing Research Repository, CoRR, abs/1106.5178, 2011.
46. T. Heath and C. Bizer, Linked Data: Evolving the Web into a Global Data Space, 1st edn, Morgan and Claypool, 2011.
47. HEML Project, http://heml.mta.ca/heml-cocoon/description.
48. HISCO Project, http://historyofwork.iisg.nl/.
49. Historic Sample of the Netherlands (HSN), http://www.iisg. nl/hsn//.
50. HiTime Project, http://ilk.uvt.nl/hitime/.
51. J.R. Hobbs, M.E. Stickel, D.E. Appelt and P.A. Martin, Interpretation as abduction, Artificial Intelligence 63(1-2) (1993), 69-142.
52. E. Hyvönen, J. Tuominen, T. Kauppinen and J. Väätäinen, Representing and utilizing changing historical places as an ontology time series, in: Geospatial Semantics and the Semantic Web: Foundations, Algorithms, and Applications, R. Jain and A. Sheth, eds, Semantic Web and Beyond: Computing for Human Experience, Springer-Verlag, Berlin, Heidelberg, 2011, pp. 1-25.
53. N. Ide and D. Woolner, Exploiting semantic web technologies for intelligent access to historical documents, in: Proceedings of the Fourth Language Resources and Evaluation Conference (LREC), 2004, pp. 2177-2180.
54. N. Ide and D. Woolner, Historical Ontologies, in: Words and Intelligence II: Essays in Honor of Yorick Wilks, Springer-Verlag, Berlin, Heidelberg, 2007, pp. 137-152.
55. Integrated Public Use Microdata Series (IPUMS), http://www.ipums.org/.
56. James Cook University Australia, Primary, Secondary and Tertiary Sources, http://libguides.jcu.edu.au/primary.
57. C. Jones, Strategies for managing requirements creep, Computer 29(6) (1996), 92-94.
58. M. Kalus, Semantic Networks and Historical Knowledge Management: Introducing New Methods of Computer-Based Research, MPublishing, Ann Arbor, MI, University of Michigan Library, 2007.
59. M. Kemman andM. Kleppe, PoliMedia-Improving analyses of radio, TV and newspaper coverage of political debates, in: Proceedings of the 15th International Conference on Theory and Practice of Digital Libraries, TPDL 2013, T. Aalberg and E. Al, eds, LNCS, Vol. 8092, Springer-Verlag, Berlin, Heidelberg, 2013, pp. 401-404.
60. J. Kok and P. Wouters, Virtual knowledge in family history: Visionary technologies, research dreams, and research agendas, in: Virtual Knowledge. Experimenting in the Humanities and the Social Sciences, P. Wouters, A. Beaulieu, A. Scharnhorst and S. Wyatt, eds, MIT Press, Cambridge, Massachusetts, 2013, pp. 219-244.
61. T. Kuczynski, ed., Wirschaftsgeschichte und Mathematik. Beiträge zur Anwendung Mathematischer, Insbesondere Statistischer Methoden in der Wirtschafts-und Sozialhistorischen Forschung. Akademie-Verlag, Berlin, 1985.
62. Linking History in Place, http://cv.vic.gov.au/linkinghistory/.
63. Links Project, http://www.iisg.nl/hsn/news/links-project.php.
64. LODE: An ontology for Linking Open Descriptions of Events, http://linkedevents.org/ontology/.
65. K. Mandemakers and L. Dillon, Best practices with large databases on historical populations, Historical Methods: A Journal of Quantitative and Interdisciplinary History 37(1) (2004), 34-38.
66. M.Á. Manso and M. Wachowicz, GIS design: A review of current issues in interoperability, Geography Compass 3(3) (2009), 1105-1124.
67. W. McCatry, Humanities computing, in: Encyclopedia of Library and Information Science, M. Drake, ed., 2nd edn, Taylor and Francis, New York, 2003, pp. 1124-1135.
68. A. Meroño-Peñuela, Semantic Web for the humanities, in: Proceedings of the 10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013, P. Cimiano, O. Corcho, V. Presutti, L. Hollink and S. Rudolph, eds, LNCS, Vol. 7882, Springer-Verlag, Berlin, Heidelberg, 2013, pp. 645-649.
69. A. Meroño-Peñuela, A. Ashkpour, L. Rietveld, R. Hoekstra and S. Schlobach, Linked humanities data: The next frontier? A case-study in historical census data, in: Proceedings of the 2nd International Workshop on Linked Science (LISC2012). International Semantic Web Conference (ISWC), CEUR Workshop Proceedings, Vol. 951, 2012.
70. A. Meroño-Peñuela, C. Guéret, R. Hoekstra and S. Schlobach, Detecting and reporting extensional concept drift in statistical Linked Data, in: Proceedings of the 1st International Workshop on Semantic Statistics (SemStats 2013), ISWC, CEUR Workshop Proceedings, 2013.
71. A. Meroño-Peñuela, R. Hoekstra, A. Scharnhorst, C. Guéret and A. Ashkpour, Longitudinal queries over linked census data, in: Satellite Events of the 9th Extended Semantic Web Conferenceon The SemanticWeb: Research and Applications, ESWC 2012, 2013, pp. 306-307.
72. P.B. Meyer and A.M. Osborne, Proposed category system for 1960-2000 census occupations, U.S. Bureau of Labor Statistics, 2005.
73. MILO, http://sigmakee.cvs.sourceforge.net/viewvc/sigmakee/KBs/Mid-level-ontology.kif.
74. R. Moot, L. Prévot and C. Retoré, A discursive analysis of itineraries in an historical and regional corpus of travels: Syntax, semantics, and pragmatics in a unified type theoretical framework, in: Constraints in Discourse 2011, 2011, pp. 14-16.
75. Natural Language Toolkig (NLTK), http://www.nltk.org/.
76. M. Nentwich, Cyberscience: Research in the Age of the Internet, Austrian Academy of Sciences Press, Vienna, 2003.
77. NLP2RDF, http://nlp2rdf.org/.
78. North Atlantic Population Project, http://www.nappdata.org/napp/.
79. NSF-ITR/MALACH Project,http://malach.umiacs.umd.edu/.
80. J. Oldervoll, CENSSYS: A system for analyzing Census-Type data, Computer Applications in the Historical Sciences: Selected Contributions to the Cologne Computer Conference, 1989, pp. 17-22.
81. OpenCYC, http://www.opencyc.org/.
82. OpenRefine, https://github.com/OpenRefine/OpenRefine.
83. J.B. Owens, M. Yuan, M. Wachowicz, V. Kantabutra, E.A. Coppola Jr., D.P. Ames and A. Gangemi, Visualizing historical narratives: Geographically-integrated history and dynamics GIS, in: National Endowment for the Humanities Workshop. Visualizing the Past: Tools and Techniques for Understanding Historical Processes, 2009.
84. Polimedia Project, http://www.polimedia.nl/.
85. RDF Vocabularies for Historic Place-Names and Relations Between Them, http://groups.google.com/group/caasemantic-sig/browse-thread/thread/ae1db7fa31a1b5a0?pli=1.
86. T. Riechert, U. Morgenstern, S. Auer, S. Tramp and M. Martin, Knowledge engineering for historians on the example of the catalogus professorum Lipsiensis, in: Proceedings of the 9th International Semantic Web Conferenceon The Semantic Web-ISWC 2010, LNCS, Vol. 6496, Springer-Verlag, Berlin, Heidelberg, 2010, pp. 225-240.
87. B.G. Robertson, Visualizing an historical Semantic Web with Heml, in: Proceedings of the 15th International World Wide Web Conference 2006, WWW'06, ACM Press, New York, NY, USA, 2006, pp. 1051-1052.
88. B. Robertson, Exploring historical RDF with Heml, Digital Humanities Quarterly 3(1), 2009, http://www.digitalhumanities.org/dhq/vol/003/1/000026.html.
89. S. Ruggles and R.R. Menard, The Minnesota Historical Census projects, Historical Methods: A Journal of Quantitative and Interdisciplinary History 28(1) (1995), 6-10.
90. SAILS Project, http://sailsproject.cerch.kcl.ac.uk/2010/07/about-the-sails-project/.
91. Schema.org, http://schema.org/.
92. S. Schreibman, R. Siemens and J. Unsworth, eds, A Companion to Digital Humanities, Blackwell Publishing Inc, Malden, MA, 2004.
93. Scratch Project, http://www.ai.rug.nl/alice/nwo-catch-scratch/index-english.html.
94. R. Segers, M. van Erp, L. van der Meij, L. Aroyo, J. van Ossenbruggen, G. Schreiber, B. Wielinga, J. Oomen and G. Jacobs, Hacking history via event extraction, in: Proceedings of the Sixth International Conference on Knowledge Capture, K-CAP'11, ACM Press, New York, NY, USA, 2011, pp. 161-162.
95. SEM event model, http://www.cs.vu.nl/~guus/papers/Hage11b.pdf.
96. Semantic MediaWiki (SMW), http://semantic-mediawiki. org/.
97. Semantic Web approaches in Digital History: An Introduction, http://www.slideshare.net/mpasin/presentations/.
98. N. Shadbolt, W. Hall and T. Berners-Lee, The Semantic Web revisited, IEEE Intelligent Systems 21(3) (2006), 96-101.
99. P. Shvaiko and J. Euzenat, Ontology matching: State of the art and future challenges, IEEE Transactions on Knowledge and Data Engineering 25(1) (2013), 158-176.
100. R.E. Sieber, C.C. Wellen and Y. Jin, Spatial cyberinfrastructures, ontologies, and the humanities, Proceedings of the National Academy of Sciences of the United States of America 108(14) (2011), 5504-5509.
101. SIG:Ontologies, http://wiki.tei-c.org/index.php/SIG: Ontologies.
102. SIMILE/Timeline, http://www.simile-widgets.org/timeline/.
103. M. Sobek, The comparability of occupations and the generation of income scores, Historical Methods: A Journal of Quantitative and Interdisciplinary History. Special Issue: The Minnesota Historical Census Project 28(1) (1995), 47-51.
104. Spatial Cyberinfrastructures, Ontologies, and the Humanities, http://www.pnas.org/content/108/14/5504.full.
105. Standard Generalized Markup Language (SGML), http://en.wikipedia.org/wiki/Standard-Generalized-Markup-Language.
106. W.A Speck, History and computing: Some reflections on the past decade, History and Computing 6(1) (1994), 28-32.
107. SUMO, http://sigmakee.cvs.sourceforge.net/viewvc/sigmakee/KBs/Merge.kif.
108. TabLinker, https://github.com/Data2Semantics/TabLinker/.
109. TACT, http://projects.chass.utoronto.ca/tact/.
110. TAPoR, http://portal.tapor.ca/portal/portal.
111. TEI (Text Encoding Initiative), http://www.tei-c.org/index. xm.
112. Text Mining for Historical Documents: Topics and papers, http://www.coli.uni-saarland.de/courses/tm-hist/readings.html.
113. M. Thaller, Automation on Parnassus. CLIO-A databank oriented system for historians, Historical Social Research/Historische Sozialforschung 15 (1980), 40-65.
114. The Dublin Core Metadata Initiative (DCMI), http://www.dublincore.org/.
115. The eHumanities Group, http://ehumanities.nl/.
116. The Event Ontology, http://purl.org/NET/c4dm/event.owl#.
117. The GeoNames Ontology, http://www.geonames.org/ontology/documentation.html.
118. The Semantic Web for Family History, http://jay.askren.net/Projects/SemWeb/.
119. The World Wide Web Consortium (W3C), XML Path Language (XPath), http://www.w3.org/TR/xpath/.
120. The World Wide Web Consortium (W3C), SPARQL Query Language for RDF, http://www.w3.org/TR/rdf-sparql-query/.
121. TheWorldWideWeb Consortium (W3C), Resource Description Framework (RDF), http://www.w3.org/RDF/.
122. TheWorldWideWeb Consortium (W3C), RDFa: Rich Structured Data Markup for Web Documents, http://www.w3.org/TR/rdfa-primer/.
123. The World Wide Web Consortium (W3C), PROV-O: The PROV Ontology, http://www.w3.org/TR/prov-o/.
124. The World Wide Web Consortium (W3C), OWL Web Ontology Language Overview, http://www.w3.org/TR/owlfeatures/.
125. The World Wide Web Consortium (W3C), XQuery 1.0: An XML Query Language (Second Edition), http://www.w3.org/TR/xquery/.
126. U. Thiel, H. Brocks, A. Dirsch-Weigand, A. Everts, I. Frommholz and A. Stein, Queries in context: Access to digitized historic documents in a collaboratory for the humanities, in: From Integrated Publication and Information Systems to Information and Knowledge Environments, M. Hemmje, C. Niederée and T. Risse, eds, LNCS, Vol. 3379, Springer-Verlag, Berlin, Heidelberg, 2005, pp. 117-127.
127. TokenX, http://tokenx.unl.edu/.
128. J. Tosh, The Pursuit of History: Aims, Methods, and New Directions in the Study of History, 5th edn, Pearson Education, Harlow, 2010.
129. University of Maryland, Primary, Secondary and Tertiary Sources, http://www.lib.umd.edu/ues/guides/primarysources.
130. M. van de Camp and A. van den Bosch, A link to the past: Constructing historical social networks, in: Proceedings of the ACL-HLT Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA-2011), A. Balahur, E. Boldrini, A. Montoyo and P. Martinez-Barco, eds, Association for Computational Linguistics, Stroudsburg, PA, USA, 2011, pp. 61-69.
131. B. van de Putte and A. Miles, A social classification scheme for historical occupational data, Historical Methods: A Journal of Quantitative and Interdisciplinary History 38(2) (2005), 61-92.
132. C. van den Akker, S. Legêne, M. Van Erp, L. Aroyo, R. Segers, L. Van der Meij, J. van Ossenbruggen, G. Schreiber, B. Wielinga, J. Oomen and G. Jacobs, Digital hermeneutics: Agora and the online understanding of cultural heritage, in: Proceedings of the 3rd International Conference on Web Science (WebSci 2011), 2011, pp. 1-7.
133. A. van der Meer and O. Boonstra, Repertorium van Nederlandse Gemeenten, 1812-2006, waaraan toegevoegd de Amsterdamse code, DANS Data Guide 2, The Hague, 2006.
134. W.R. van Hage, V. Malaisé, R. Segers, L. Hollink and G. Schreiber, Design and use of the Simple Event Model (SEM), Journal of Web Semantics: Science, Services and Agents on the World Wide Web 9(2) (2011), 128-136.
135. Voyage of the Slave Ship Sally Project, http://www.stg.brown. edu/projects/sally/.
136. WAHSP and BILAND, http://www.wahsp.nl/.
137. S. Wang, S. Schlobach and M.C.A. Klein, Concept drift and how to identify it, Journal of Web Semantics: Science, Services and Agents on the World Wide Web 9(3) (2011), 247-265.
138. R. Witte, R. Krestel, T. Kappler and P.C. Lockemann, Converting a historical architecture encyclopedia into a semantic knowledge base, IEEE Intelligent Systems 25(1) (2010), 58-67.
139. P. Wittek and W. Ravenek, Supporting the exploration of a corpus of 17th-century scholarly correspondences by Topic Modeling, in: Supporting Digital Humanities 2011: Answering the unaskable, B. Maegaard, ed., Copenhagen, Denmark, 2011.
140. Wordcruncher, http://www.wordcruncher.com/wordcruncher/default.htm.
141. WordNet, http://wordnet.princeton.edu/.
142. XCES, http://www.xces.org/.