LEADER 07385nam 22008055 450 001 9910255003303321 005 20230810190531.0 010 $a3-319-46224-5 024 7 $a10.1007/978-3-319-46224-0 035 $a(CKB)3710000000981145 035 $a(DE-He213)978-3-319-46224-0 035 $a(MiAaPQ)EBC6298680 035 $a(MiAaPQ)EBC5610814 035 $a(Au-PeEL)EBL5610814 035 $a(OCoLC)962481077 035 $a(PPN)197137709 035 $a(EXLCZ)993710000000981145 100 $a20161101d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational History and Data-Driven Humanities $eSecond IFIP WG 12.7 International Workshop, CHDDH 2016, Dublin, Ireland, May 25, 2016, Revised Selected Papers /$fedited by Bojan Bozic, Gavin Mendel-Gleason, Christophe Debruyne, Declan O'Sullivan 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 127 p. 29 illus.) 225 1 $aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v482 311 $a3-319-46223-7 327 $aIntro -- Preface -- Organization -- Contents -- Keynotes -- Ritual and Social Evolution: Understanding Social Complexity Through Data -- 1 Introducing Seshat -- 2 The Theory of Modes of Religiosity -- 3 Modes of Religiosity over Time and Space -- 4 Using Seshat to Test the Modes Theory -- References -- The Dacura Data Curation System -- 1 Introduction -- 2 Use Case and Requirements -- 3 Dacura System and Quality Control -- 4 Conclusion -- References -- Full Papers -- Digital History: Towards New Methodologies -- 1 Introduction -- 2 Tools and Data -- 3 Top-Down and Bottom-Up Approaches -- 3.1 Canonization of People -- 3.2 Tracing Concepts Through Time -- 4 Conclusions -- References -- Epidemics in Venice: On the Small or Large Nature of the Pre-modern World -- 1 Introduction -- 2 Method -- 2.1 Venice Transportation Network -- 2.2 Epidemic Model -- 3 Simulation -- 4 Conclusions -- References -- Neoclassica - A Multilingual Domain Ontology -- 1 Introduction -- 2 Neoclassica Framework -- 2.1 Epistemological Considerations -- 2.2 The Proposed Framework -- 3 Why a New Domain Ontology? -- 3.1 Basic Objective -- 3.2 CIDOC-CRM and Neoclassica -- 3.3 Current State -- 4 The Structure of the Neoclassica-Ontology -- 5 Practical Examples -- 5.1 Multilinguality and the Presence/Absence of Concepts in Languages -- 5.2 Descriptive Power -- 6 Conclusion and Outlook on Future Development -- References -- Improving Part-of-Speech Tagging of Historical Text by First Translating to Modern Text -- 1 Introduction -- 2 Related Work -- 3 Translation Methods -- 3.1 Machine Translation -- 3.2 Historical Lexicons -- 3.3 Extracting Lexicons from Parallel Text -- 3.4 Orthographic Rules -- 4 Part-of-Speech Tagging Evaluation -- 5 Concluding Remarks -- References -- The Sense and Sensibility of Different Sliding Windows in Constructing Co-occurrence Networks from Literature. 327 $a1 Introduction -- 2 Related Work -- 2.1 Social Networks in Literature -- 2.2 Term Co-occurrence Analysis -- 3 Methods -- 3.1 Data Preparation -- 3.2 Character Networks -- 3.3 Collinear Co-occurrence Window Strategy -- 3.4 Coplanar Co-occurrence Window Strategy -- 3.5 Combined Sliding Window Strategy -- 4 Results -- 4.1 Network Analysis -- 4.2 Discussion: Literary Implications for Character Networks -- 5 Conclusions -- References -- Storyteller: Visualizing Perspectives in Digital Humanities Projects -- 1 Introduction -- 2 Humanities Data and Visualizations -- 3 Storyteller -- 4 Visualizing the Data -- 4.1 Newsreader -- 4.2 BiographyNet -- 4.3 Embodied Emotions -- 4.4 Summary -- 5 Conclusions -- References -- Will Historians Ever Have Big Data? -- Abstract -- 1 Introduction -- 2 What Is 'Data?' -- 3 Three Challenges to Building Big Data Infrastructure for History -- 3.1 Revisiting the Complexity of Humanistic Data -- 3.2 Dealing with 'hidden' Data -- 3.3 Knowledge Organisation and Epistemics of Data -- 4 Conclusion -- Acknowledgements -- References -- Lightning Talks -- Object Classification in Images of Neoclassical Furniture Using Deep Learning -- 1 Introduction -- 2 Experiment -- 3 Conclusion -- References -- Publishing and Consuming Irish Administrative Boundaries as Linked Data -- 1 Introduction -- 2 OSi's Linked Data Platform -- 3 Consuming Ireland's Boundary Data -- 4 Conclusions and Future Work -- References -- Erratum to: Computational History and Data-Driven Humanities -- Erratum to: B. Bozic et al. (Eds.): Computational History and Data-Driven Humanities DOI: 10.1007/978-3-319-46224-0 -- Short Lightning Talks -- Automated Monitoring of Data Quality in Linked Data Systems -- Abstract -- 1 Introduction -- 2 Experiments -- 3 Conclusion and Future Work -- References. 327 $aSWIMing: Supporting Use Case Data Requirements Modelling for Managing Data Across the Building Life Cycle -- Abstract -- 1 Introduction -- 2 Short Presentation of Work -- Author Index. 330 $aThis book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016. The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and selected from 14 submissions. The papers focus on the challenge and opportunities of data-driven humanities and cover topics at the interface between computer science, social science, humanities, and mathematics. 410 0$aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v482 606 $aComputer science 606 $aData mining 606 $aSocial sciences$xData processing 606 $aDatabase management 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aComputer Science 606 $aData Mining and Knowledge Discovery 606 $aComputer Application in Social and Behavioral Sciences 606 $aDatabase Management 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 615 0$aComputer science. 615 0$aData mining. 615 0$aSocial sciences$xData processing. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 14$aComputer Science. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 676 $a004 702 $aBozic$b Bojan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMendel-Gleason$b Gavin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDebruyne$b Christophe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aO'Sullivan$b Declan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255003303321 996 $aComputational History and Data-Driven Humanities$92111559 997 $aUNINA