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1 | IEEE Big Data Conf.: Computational Archival Science (CAS) Workshops | https://ai-collaboratory.net/cas | ANALYSIS | ||||||||||||||||||||||
2 | # | Paper Title | Author(s) | Keywords | Countries | Paper count | BROAD ARCHIVAL FUNCTION | CAS TOPICS | EXTENDED CAS TOPICS | SOCIAL JUSTICE TOPICS | RECORD TYPE | ||||||||||||||
3 | IEEE Big Data 2016 - Washington D.C., USA | https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2016-1st-cas-workshop/ | 10 | ||||||||||||||||||||||
4 | 16-1 | Exploring archives with probabilistic models: Topic Modelling for the valorisation of digitised archives of the European Commission | S. Hengchen, M. Coeckelbers, S. Van Hooland, VR. erborgh, T. Steiner - ULB (BE), GU (BE), Google (DE) | LDA, Topic Modeling, Archives | Belgium, Germany | Description Access | NLP | Textual Records | |||||||||||||||||
5 | 16-2 | Traces through Time: A Probabilistic Approach to Connected Archival Data | S. Ranade - TNA (UK) | Archives, Description, Linked Data, Big Data, Probabilistic | UK | Description Access | NLP | Textual Records | |||||||||||||||||
6 | 16-3 | Opening Up Dark Digital Archives Through The Use of Analytics to Identify Sensitive Content | J. Baron, B. Borden - Drinker Biddle & Reath LLP (US) | Archives, Sensitive Data, PII, Analytics, Predictive Coding, Technology Assisted Review | USA | Description Access | Graph analytics | AI/ML | Textual Records | ||||||||||||||||
7 | 16-4 | Computational Provenance in DataONE: Implications for Cultural Heritage Institutions | R. Sandusky - UIC Library (US) | Provenance, Libraries, Archives, Museums, Computational Provenance | USA | Description Preservation Access | Computational finding aids | Textual Records | |||||||||||||||||
8 | 16-5 | Content-based Comparison for Collections Identification | W. Xu, R. Huang, M. Esteva, J. Song, R. Walls | Data Curation; Content Based Comparsion; Biological Sequences; Global Unique Persistent Identifiers; Spark | USA | Records management | Computational methods | Data Files | |||||||||||||||||
9 | 16-6 | Breaking Down the Invisible Wall to Enrich Archival Science and Practice | W. Xu, R. Huang, M. Esteva, J. Song, R. Walls - UTA TACC (US) | Component, Data Curation, Content Based Comparison, Biological Sequences, Global Unique Persistence Identifiers, Spark | USA | Description | NLP Graph analytics | ALL | |||||||||||||||||
10 | 16-7 | Mind the explanatory gap: Quality from Quantity | K. Thibodeau - NARA (US) | Archival Science, Systemic Functional Linguistics, Graph Theory | USA | Records management | Computational thinking | ALL | |||||||||||||||||
11 | 16-8 | Understanding Computational Web Archives Research Methods Using Research Objects | J. Bunn - UCL (UK) | CAS, Archival thinking, abstraction | UK | Description Access | Digital curation | Web Pages | |||||||||||||||||
12 | 16-9 | Appraising Digital Archives with Archivematica | E. Maemura, C. Becker, I. Milligan - UToronto, UWaterloo (CA) | Computational Methods, Web Archives, Research Objects, Computational Archival Science, Digital Curation | Canada | Appraisal Preservation | Digital curation | ALL | |||||||||||||||||
13 | 16-10 | Mining and Analysing One Billion Requests to Linguistic Services | M. Buchler, G. Franzini, E. Franzini, T. Eckart - GAUG, UL (GE) | Natural Language, Web Services, Internet, Collective Intelligence, Knowledge Discovery, Data Processing, Data Analysis, Software as a Service | Germany | Description Access | NLP | ALL | |||||||||||||||||
14 | IEEE Big Data 2017 - Boston, USA | https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2017-2nd-cas-workshop/ | 14 | ||||||||||||||||||||||
15 | 17-1 | Building new knowledge from distributed scientific corpus: HERBADROP & EUROPEANA, Two concrete case studies for exploring big archival data | P. Dugenie, N. Freire, D. Broeder - CINES (FR), INES-ID, MEERTENS (NL) | Cultural heritage, Big data, OCR | France, NL | Description | Computational methods | Photographs & other Graphic Materials | |||||||||||||||||
16 | 17-2 | An Infrastructure and Application of Computational Archival Science to Enrich and Integrate Big Digital Archival Data: Using Taiwan Indigenous Peoples Open Research Data (TIPD) as an Example | J.-P. Lin - Academia Sinica (TW) | Identity, Genealogy, In-Memory Computing, Open Data, Record Linkage, TIPD | Taiwan | Description | Spatial analytics | Taiwan Indigenous People | Textual Records Maps & Charts | ||||||||||||||||
17 | 17-3 | Computational Curation of a Digitized Record Series of WWII Japanese-American Internment | W. Underwood, R. Marciano, S. Laib, et al. - CIS UMD, GA Tech (US) | NLP, NER, World War II Japanese-American Internment Camps, Computational Archival Science | USA | Description Access | NLP Graph analytics Spatial analytics | WWII Japanese American Incarceration | Textual Records Maps & Charts | ||||||||||||||||
18 | 17-4 | The Cybernetics Thought Collective Project: Using Computational Methods to Reveal Intellectual Context in Archival Material | B. Anderson, C. Prom, K. Hamilton, J. Hutchinson, M. Sammons, A. Dolski - UIUC (US) | Digital Archives, Cybernetics, Named Entities, Natural Language Processing, Machine Learning | USA | Access | NLP | AI/ML | Textual Records | ||||||||||||||||
19 | 17-5 | Towards Automated Quality Curation of Video Collections from a Realistic Perspective | T. Goodall, M. Esteva, S. Sweat, A. Bovik - UTA TACC (US) | Automated video quality assessment, Video appraisal, Preservation | USA | Appraisal Preservation | Computational methods | AI/ML | Moving Images | ||||||||||||||||
20 | 17-6 | Line Detection in Binary Document Scans: A Case Study with the International Tracing Service Archives | B. Lee - USHMM (US) | Line Detection, Dotted Lines, Computational Archival Science, International Tracing Service, Holocaust Research | USA | Description Access | Computational methods | Computer vision (CV) | Holocaust | Textual Records | |||||||||||||||
21 | 17-7 | Auto-Categorization Methods for Digital Archives | N. Payne (Canada), J. Baron (US) | Auto-Categorization, Auto-Classification, Binary Classification, E-Discovery, Machine Learning, Coverage, Detail | Canada, USA | Description Records management | Computational methods | AI/ML | Data Files | ||||||||||||||||
22 | 17-8 | Heuristics for Assessing Computational Archival Science (CAS) Research: The Case of the Human Face of Big Data Project | M. Lee, Y. Zhang, S. Chen, E. Spencer, J. Dela Cruz, H. Hong, R. Marciano - CIS UMD (US) | Computational Archival Science, Assessment Heuristics, Urban Renewal, Data Platform, Digital Curation | USA | Description Access | Iterative design | Urban renewal | Textual Records Maps & Charts | ||||||||||||||||
23 | 17-9 | What Can a Knowledge Complexity Approach Reveal About Big Data and Archival Practice? | N. Horsley - DANS KNAW (NL) | Big Data, Knowledge Complexity, Digital Humanities | NL | Access | Computational thinking | ALL | |||||||||||||||||
24 | 17-10 | Protecting Privacy in Archives | T. Hutchinson - U. Sask (CA) | Topic Modeling, Natural Language Processing, NLP, Personal Information, Digital Archives | Canada | Accessioning | NLP | Textual Records | |||||||||||||||||
25 | 17-11 | Identifying Epochs in Text Archives | T. Blanke, J. Wilson - KCL (UK) | Computational Archives, Digital History, Cultural Analytics | UK | Description | NLP Temporal analytics | Textual Records | |||||||||||||||||
26 | 17-12 | GraphQL for Archival Metadata: An Overview of the EHRI GraphQL API | M. Bryant - KCL (UK) | Archives, APIs, Structured Data | UK | Description Preservation | Graph analytics | Holocaust | Textual Records | ||||||||||||||||
27 | 17-13 | The Blockchain Litmus Test | T. Smith - Adventium Labs (US) | Bitcoin, Blockchain, Archival Science, Dependability, Security, Trust, Dependable and Secure Computing | USA | Access | Authenticity | ALL | |||||||||||||||||
28 | 17-14 | A Typology of Blockchain Recordkeeping Solutions and Some Reflections on their Implications for the Future of Archival Preservation | V. Lemieux - UBC (CA) | Blockchain, Distributed Ledger, Recordkeeping, Digital Preservation | Canada | Records management Preservation | Authenticity | Textual Records | |||||||||||||||||
29 | IEEE Big Data 2018 - Seattle, USA | https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2018-3rd-cas-workshop/ | 12 | ||||||||||||||||||||||
30 | 18-1 | Introducing Computational Thinking into Archival Science Ed. | W. Underwood, D. Weintrop, M. Kurtz, R. Marciano - CIS UMD (US) | Computational Thinking, Archival Science, MLIS Curriculum | USA | Appraisal Arrangement Description Preservation Access | Computational thinking | ALL | |||||||||||||||||
31 | 18-2 | Automating the Detection of Personally Identifiable Information (PII) in Japanese-American WWII Incarceration Camp Records | R. Marciano, W. Underwood, M. Hanaee, C. Mullane, A. Singh, Z. Tethong - CIS UMD (US) | Computational Thinking, Digital Curation, Computational Archival Science (CAS), PII, Privacy | USA | Description Access | Computational thinking Computational methods | WWII Japanese American Incarceration | Textual Records Maps & Charts | ||||||||||||||||
32 | 18-3 | Computational Archival Practice: Towards A Theory for Archival Engineering | K. Thibodeau (US) | Archival Bond, Archival Edge, Archival Engineering, Archival Science, Target Past | USA | Records management | NLP Graph analytics | ALL | |||||||||||||||||
33 | 18-4 | Stirring The Cauldron: Redefining Computational Archival Science (CAS) For The Big Data Domain | N. Payne - UBC (CA) | Big Data, Computational Archival Science, Provenance, Computational Science, Transdisciplinarity, Machine Learning, Artificial Intelligence | Canada | Appraisal Arrangement Description Preservation Access | Computational methods | ALL | |||||||||||||||||
34 | 18-5 | Protecting Privacy in the Archives: Supervised Machine Learning and Born-Digital Records | T. Hutchinson - U. Sask (CA) | Natural Language Processing, NLP, Personal Information, PII, Digital Archives, Supervised Machine Learning, Probabilistic Classification, Naive Bayes Classifier | Canada | Accessioning | NLP | AI/ML | Textual Records | ||||||||||||||||
35 | 18-6 | Computer-Assisted Appraisal and Selection of Archival Materials | C. Lee - UNC (US) | Appraisal, Selection, Digital Curation, Archival Science, Natural Language Processing, Digital Forensics | USA | Appraisal | NLP | AI/ML | ALL | ||||||||||||||||
36 | 18-7 | Measuring Completeness as a Metadata Quality Metric in Europeana | P. Kiraly, M. Buchler - GWDG, GAUG (DE) | Big Data Applications, Data Analysis, Data Collection, Quality of Service, Quality Management, Metadata, Data Integration | Germany | Description Access | Digital curation | Data Files | |||||||||||||||||
37 | 18-8 | In-Place Synchronisation of Hierarchical Archival Descriptions | M. Bryant, L. Reijnhoudt, B. Simeonov - KCL (UK), DANS KNAW (NL), Ontotext (BG) | Archives, Structured Data, HArvesting | UK, NL, Bulgaria | Description Preservation | Graph analytics | Holocaust | Textual Records | ||||||||||||||||
38 | 18-9 | Utility of Enterprise Architecture to Records and Archives Specialists | S. Katuu - UNISA (SA) | Archives Management, InterPARES Trust, Metadata, Records Management, TOGAF | South Africa | Records management | Computational methods | ALL | |||||||||||||||||
39 | 18-10 | Framing the Scope of the Common Data Model for Machine-actionable Data Management Plans | T. Miksa, J. Cardoso, J. Borbinha - TU Wien (AT), INESC-ID (PT) | ATA Management Plan, Machine-Actionable Data Management Plan, Workflowsata Management Plan, WorkflowsD | Austria, Portugal | Preservation | Digital curation | ALL | |||||||||||||||||
40 | 18-11 | A Case Study in Creating Transparency in Using Cultural Big Data: The Legacy of Slavery Project | R. Cox, S. Shah, W. Frederick, T. Nelson, W. Thomas, G. Jansen, N. Dibert, M. Kurtz, R. Marciano - CIS UMD, MSA, DCIC (US) | Computational Thinking, Digital Curation, Computational Archival Science (CAS), Cultural Big Data, Legacy of Slavery | USA | Description Access | Digital curation Graph analytics | Legacy of Slavery | Textual Records | ||||||||||||||||
41 | 18-12 | Jupyter Notebooks for Generous Archive Interfaces | M. Wigham, L. Melgar, R. Ordelman - NISV, UvA, UT (NL) | ETL, Jupyter Notebooks, Data science, Archival interfaces | NL | Description Access | Computational methods | Moving Images | |||||||||||||||||
42 | IEEE Big Data 2019 - Los Angeles, USA | https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2019-4th-cas-workshop/ | 13 | ||||||||||||||||||||||
43 | 19-1 | Computational Thinking in Archival Science Research and Education | W. Underwood, R. Marciano - CIS UMD (US) | Computational Thinking, Archival Science | USA | Appraisal, Arrangement, Description, Preservation, Access | Computational thinking | WWII Japanese American Incarceration | Textual Records Maps & Charts | ||||||||||||||||
44 | 19-2 | Reframing Digital Curation Practices through a Computational Thinking Framework | R. Marciano, et al. - CIS UMD (US) | Computational Thinking, Digital Curation, Computational Archival Science (CAS), Japanese American WWII Incarceration Camps | USA | Accessioning Description | Computational thinking Computational finding aids Digital curation Graph analytics | WWII Japanese American Incarceration | Textual Records Maps & Charts | ||||||||||||||||
45 | 19-3 | An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records | N. Payne - UBC (CA) | Context, Auto-Classification, Classification, Machine Learning, Functions | Canada | Description Records management | Computational methods | AI/ML | Data Files | ||||||||||||||||
46 | 19-4 | Extending the Scope of Computational Archival Science: A Case Study on Leveraging Archival and Engineering Approaches to Develop a Framework to Detect and Prevent “Fake Video” | H. Hamouda, V. Lemieux, C. Rogers, K. Thibodeau, J. Bushey, J. Stewart, J. Cameron, C. Feng - UBC, MONOVA, Patriot One Technologies, Artefactual Systems (CA), FU (US) | Fake Videos, Trustworthiness of Digital Records, Authenticity of Videos, Archival Science. | Canada, USA | Accessioning Description | Computational methods | Moving Images | |||||||||||||||||
47 | 19-5 | ArchContract: Using Smart Contracts for Disposition | D. Batista, T. Weingartner - UBC (CA), HSLU (CH) | Disposition, Appraisal, Smart Contracts, Blockchain Systems | Canada, Switzerland | Preservation | Authenticity | ALL | |||||||||||||||||
48 | 19-6 | Automated Interpretability of Linked Data Ontologies | N. Freire, S. de Valk - INESC-ID (PT), NDE (NL) | Ontologies, Vocabularies, Semantics, Data Variety, Data Volume, Linked Data | Portugal, NL | Description | Computational methods | ALL | |||||||||||||||||
49 | 19-7 | Towards a Flexible System Architecture for Automated Knowledge Based Construction Frameworks | O. Din - MIT (US) | Automated Knowledge Base Construction Frameworks, Big Data, Computational Archival Science, Information Extraction, Software Architecture | USA | Accessioning Description | Computational methods | ALL | |||||||||||||||||
50 | 19-8 | What Computational Archival Science Can Learn from Art History and Culture Studies | L. Williams - UNC (US) | Representations of Marginalized Populations, Racial Implications of Reproductive Technology | USA | Accessioning Access | Archival theory | Textual Records | |||||||||||||||||
51 | 19-9 | Digital Legacies on Paper: Reading Punchcards with Computer Vision | G. Jansen - CIS UMD (US) | Computational Thinking, Digital Curation, Computational Archival Science (CAS), PII, Privacy | USA | Description Access | Computational methods | Computer vision (CV) | Photographs & other Graphic Materials | ||||||||||||||||
52 | 19-10 | Enterprise Architecture - Value Proposition for Records Professionals | S. Katuu - UNISA (SA) | Business Actors, Enterprise Architecture Practice, Information Technology Actors, Modelling, Records Management Capabilities | South Africa | Records management | Computational methods | ALL | |||||||||||||||||
53 | 19-11 | Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories | G. Jansen, A. Coburn, A. Soroka, R. Marciano - UMD CIS, SI (US), Inrupt.com | Linked Data Platform, Memento, Fedora Repository, Apache Cassandra, Digital Repositories, Distributed Database | USA | Preservation | Computational methods | Black women's history | Textual Records Photographs & other Graphic Materials Moving Images | ||||||||||||||||
54 | 19-12 | Preliminary Analysis of a Large-Scale Digital Entertainment Development Archive: A Case Study of the Entertainment Technology Center’s Projects | E. Kaltman - CSUCI (US) | Computational Archival Science, Computer Games, Software Development, Documentation, History | USA | Appraisal Preservation Accessioning | Authenticity | Data Files | |||||||||||||||||
55 | 19-13 | Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage | E. Goodmann, M. A. Matienzo, S. VanCour, W. Vanden Dries - CU, SU, UCLA, IU (US) | Radio Preservation, Big Data, Radio Preservation Task Force, Archival Representation, Ethics of Access, Dynamic Design | USA | Preservation Access | Computational methods | Sound Recordings | |||||||||||||||||
56 | IEEE Big Data 2020 - Atlanta, USA (Virtual) | https://ai-collaboratory.net/cas/cas-workshops/ieee-big-data-2020-5th-cas-workshop/ | 13 | ||||||||||||||||||||||
57 | 20-1 | Automatic Extraction of Dublin Core Metadata from Presidential e-Records | W. Underwood - CIS UMD (US) | Presidential records, Optical character recognition (OCR), Fedora, Dublin Core, Document types, Metadata extraction, Redaction, Faceted Search | USA | Description | NLP | Data Files | |||||||||||||||||
58 | 20-2 | Multi-label Classification of Chinese Judicial Documents based on BERT | M. Dai, C. L. Liu - NCCU (TW) | Natural language processing, Multi-label Classification, BERT | Taiwan | Arrangement Description | NLP | AI/ML | Textual Records | ||||||||||||||||
59 | 20-3 | A Computational Approach to Historical Ontologies | M. Kelly, J. Greenberg, C. B. Rauch, S. Grabus, J. P. Boone, J. A. Kunze, P. Melville Logan - DU, UC, TU (US) | Archival Computation, Archival Science, Historical Ontologies | USA | Description | NLP | Data Files | |||||||||||||||||
60 | 20-4 | Digital Curation and ML Experimentation in Archives | T. Randby, R. Marciano - UNC, CIS UMD (US) | Digital Curation, Computational Archival Science (CAS), Machine Learning, FDR Presidential Library and Museum, Morgenthau Holocaust Project, Machine Learning | USA | Description | Digital curation | AI/ML | Holocaust | Textual Records | |||||||||||||||
61 | 20-5 | Curation of Historical Arabic Handwritten Digital Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study | Y. Said Can, M. Erden Kabadayi - KU (TR) | Numeral Spotting, Historical Document Analysis, Convolutional Neural Networks, Deep Transfer Learning, Handwritten Digit Recognition, Dataset Curation, Page Segmentation | Turkey | Description, Access | Computational methods | AI/ML | Ottoman population | Textual Records | |||||||||||||||
62 | 20-6 | HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents | C.-W. Tang, C.-L. Liu, P.-S. Chiu - NCCU (TW) | OCR, Chinese character segmentation, Character recognition | Taiwan | Description | Computational methods | Computer vision (CV) | Chinese historical | Textual Records | |||||||||||||||
63 | 20-7 | Towards Automatic Data Cleansing and Classification of Valid Historical Data, An Incremental Approach Based on MDD | E. O'Shea, R. Khan, C. Breathnach,T. Margaria - UL (IE) | Data Collection, Data Analytics, Model-Driven Development, Historical Data, Data Parsing, Data Cleaning, Ethics, Data Assurance, Data Quality | Ireland | Description | Computational methods | AI/ML | Textual Records | ||||||||||||||||
64 | 20-8 | Computational Treatments to Recover Erased Heritage: A Legacy of Slavery Case Study (CT-LoS) | L. Perine, R. K. Gnanasekaran, P. Nicholas, A. Hill, R. Marciano - CIS UMD (US) | Computational Thinking, Digital Curation, Computational Archival Science (CAS), Legacy of Slavery | USA | Description | Computational thinking Digital curation Graph analytics | Legacy of Slavery | Textual Records | ||||||||||||||||
65 | 20-9 | Elevating “Everyday” Voices and People in Archives through the Application of Graph Database Technology | M. Conrad, L. Williams - UMD, UNC (US) | Archives, Representation, Access, Ethics | USA | Access | NLP Graph analytics | Black women's history | Textual Records | ||||||||||||||||
66 | 20-10 | A Study of Spoken Audio Processing Using Machine Learning for LAM | W. Xu, M. Esteva, P. Cui, E. Castillo, K. Wang, H.-R. Hopkins, T. Clement, A. Choate, R. Huang - UTA (US) | Audio, Machine Learning, Shared Infrastructure, Metadata, Libraries, Archives, Museums, Audio Transcriptions | USA | Description | Computational methods | AI/ML | Moving Images | ||||||||||||||||
67 | 20-11 | From Computational De-Morphogenesis to Contaminated Representation for the Contemporary Digital Tectonics and Lexicon | A. De Masi - AdB (IT) | Digital Tectonics, Digital Lexicon, Recognition and of Pattern, WOP–BIM/GD, DeMorphogenesis, Contaminated Representation | Italy | Description | Computational methods | Architectural & Engineering Drawings | |||||||||||||||||
68 | 20-12 | Modeling Updates of Scholarly Webpages Using Archived Data | Y. Jayawardana, A. C. Nwala, G. Jayawardana, J. Wu, S. Jayarthna, M. L. Nelson, C. Lee Giles - ODU, IU, PSU (US) | Crawl Scheduling, Web Crawling, Search Engines | USA | Appraisal | Temporal analytics | Web Pages | |||||||||||||||||
69 | 20-13 | Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections | Z. Yin, L. Fan, H. Yu, A. Gilliland - UCLA (US) | Archival Appraisal, Archival Description, COVID19, Social Media, Text Mining | USA | Appraisal Description | NLP | Data Files | |||||||||||||||||
70 | IEEE Big Data 2021 - Florida, USA (Virtual) | https://ai-collaboratory.net/cas/cas-workshops/2021-6th-cas-workshop/ | 13 | ||||||||||||||||||||||
71 | 21-1 | CAS is a Two-Way Street | B. Ambacher, M. Conrad - PTAB, AIC (USA) | Long-term Preservation, Oais, Iso 16363, Information Management, Trustworthy Digital Repository, Provenance, Integrity, Understandability, Evidence Of Authenticity, Reproducibility, Reuse | USA | Preservation | Digital curation | ALL | |||||||||||||||||
72 | 21-2 | Managing Records in Enterprise Resource Planning Systems | S. Katuu - UNISA (SA) | Archival Diplomatics, Enterprise Resource Planning System, United Nations | South Africa | Records management | Authenticity | ALL | |||||||||||||||||
73 | 21-3 | Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset | A. Inbasekaran, R. K. Gnanasekaran, R. Marciano - CUT (SE), UMD (US) | BERT, RoBERTa, Transfer Learning, Natural Language Processing, Spelling Correction, Entity Recognition. | Sweden, USA | Description | NLP | AI/ML | Legacy of Slavery | Textual Records | |||||||||||||||
74 | 21-4 | Using AI/Machine Learning to Extract Data from Japanese American Confinement Records | M. Friedman, C. Ford, M. Elings, V. Singh, T. Tan - UCB, Doxie.AI (US) | Machine Learning, Artificial Intelligence, Digital Collections, Collections As Data, Community Engagement, Archival Ethics, Japanese American WWII Incarceration | USA | Preservation Access | Iterative design | AI/ML | WWII Japanese American Incarceration | Textual Records Maps & Charts | |||||||||||||||
75 | 21-5 | A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data | L. Beltran, E. O'Brien, G. Jansen, R. Marciano - UNC, WPI, UMD (US) | Computational Archival Science (CAS), Japanese American WWII Incarceration Camps, Entity Resolution, Digital Infrastructure, Linked Archives | USA | Description Access | NLP Graph analytics Spatial analytics | WWII Japanese American Incarceration | Textual Records Maps & Charts | ||||||||||||||||
76 | 21-6 | Computational Curation and the Application of Large-Scale Vocabularies | S. Grabus, J. Greenberg - DU (US) | Controlled Vocabularies, Stemming, Lemmatization, Natural Language Processing (NLP), Automatic Curation | USA | Description | NLP Computational finding aids | Textual Records | |||||||||||||||||
77 | 21-7 | Inference of Absolute Time Value from Temporal Expressions | J. Sung, S. Mori, H. Kameko, A. Kubo, T. Sekino - Ind., KU, OUJ (JP) | Temporal Expression, Absolute Time Value, Named Entity Recognition | Japan | Description | NLP Temporal analytics | Textual Records | |||||||||||||||||
78 | 21-8 | EMCODIST: A Context-based Search Tool for Email Archives | S. K. Venkata, S. Decker, D. A. Kirsch, A. Nix - TNA, UB & UG, UBirmingham (UK), UMD (US) | Contextualisation, Email Archives Processing, Content Analysis, Natural Language Processing | UK, Sweden, USA | Preservation Access | NLP Graph analytics | Data Files | |||||||||||||||||
79 | 21-9 | An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data | J. Proctor, R. Marciano - UMD (US) | Computational Archival Science (CAS), Photograph archives, Digital curation, Metadata and the Semantic Web, Artificial Intelligence (AI) | USA | Description | NLP | Computer vision (CV) | Black women's history | Photographs & other Graphic Materials | |||||||||||||||
80 | 21-10 | Organizing a Content Profile for a Large, Heterogeneous Collection of Interactive Projects | E. Kaltman, R. Lorelli, A. Larson, E. Wolfe - CSUCI (US) | Computational Archival Science, Computer Games, Software Development, Content Analysis, History | USA | Appraisal Accessioning Preservation | Authenticity | Data Files | |||||||||||||||||
81 | 21-11 | Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-to-reach Populations: Research on Taiwan Indigenous Peoples | J.-P. Lin - Academia Sinica (TW) | Hard-to-reach Population, Migration Network, Population Dynamics, Ethnic Lineage, TICD,TIPD | Taiwan | Description | Spatial analytics | Taiwan Indigenous People | Textual Records Maps & Charts | ||||||||||||||||
82 | 21-12 | NFTs: Tulip Mania or Digital Renaissance? | D. Ross, E. Cretu, V. Lemiuex - UBC (CA) | Nonfungible Tokens, Blockchain, Smart Contract, Distributed Ledger, Digital Art, Provenance, Tokenomics | Canada | Preservation Records management | Authenticity | Photographs & other Graphic Materials | |||||||||||||||||
83 | 21-13 | Making Case for Using RAFT in Healthcare through Hyperledger Fabric | A. Alexandridis, G. Al-Sumaidaee, R. Alkhudary, Z. Zilic - MU (CA), LARGEPA (FR) | Blockchain, RAFT, Consensus Algorithm, Hyperledger Fabric, Value Chain, Healthcare | France | Preservation Records management | Authenticity | Textual Records | |||||||||||||||||
84 | IEEE Big Data 2022 - Tokyo, JAPAN (Virtual) | https://ai-collaboratory.net/cas/cas-workshops/2022-7th-cas-workshop/ | 14 | ||||||||||||||||||||||
85 | 22-1 | An Intelligent Class: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records | N. Payne - UBC (CA) | Functional Classification, Computational Archival Science, Big Data, Records Management, Machine Learning, Artificial Intelligence, Context, Diplomatics | Canada | Description Records management | Computational methods | AI/ML | Data Files | ||||||||||||||||
86 | 22-2 | A Data-Driven Approach to Reparative Description at the University of Chicago | A. Gosselar - UChicago (US) | Computational Thinking, Data Analysis, Reparative Description, Inclusive Description, Archives, Archival Description, Archival Metadata, Finding Aids | USA | Description Records management | Computational finding aids Spatial analytics Graph analytics | Data Files | |||||||||||||||||
87 | 22-3 | Metadata Verification: A Workflow for CAS | J. Pepper, A. Senin, D. Jebbia, D. Breen, J. Greenberg - DU, CMU (US) | Metadata verification, Tag extraction, Text processing, OCR | USA | Description | Computational finding aids Computational methods | AI/ML | Photographs & other Graphic Materials | ||||||||||||||||
88 | 22-4 | AI and Archive Handwritten Text Recognition Applied to Patrimonial Holdings: : An Example of 10 diaries written by Spanish Republican Teachers in1932 | P. Raventos, C. Hernandez, M. Simon | MSS For Records, Data Model, Records Model, Information Governance, ISO 30301, Computational Archival Science (CAS), Transkribus | Spain | Description, Access | Computational finding aids | AI/ML Computer vision (CV) | Spanish Civil War | Textual Records | |||||||||||||||
89 | 22-5 | CensusIRL: Historical census data with MDD support | A. Doherty, r. Murphy, A. Schieweck, S. Clancy, C. Breathnach, T. Margaria - UL (IE) | Census Data, Model-Driven Development, PBL, Digital Humanities, Optimization, Low-code Application Development | Ireland | Description | Computational methods | Textual Records | |||||||||||||||||
90 | 22-6 | The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes | C. Berrío-Zapata, E. Ferreira da Silva, M. Costa Pinheiro, C. Mendel Martins, V. Augusto Carvalho de Abreu, M. Augusto Góngora, K. Dunman - UFPA (BR), UC3M (ES), De Montfert U (UK), UBC (CA) | AI, Brazil, magnetism, observatory, Tatuoca | Brazil, Spain, UK, Canada | Description | Digital curation | AI/ML | Photographs & other Graphic Materials | ||||||||||||||||
91 | 22-7 | Applications of Data Analysis on Scholarly Long Documents | B. Banerjee, W. A. Ingram, J. Wu, E. A. Fox - VT, ODU (US) | Computational Archival Science, Scholarly Big Data, Information Retrieval, Natural Language Processing, Machine Learning, Artificial Intelligence | USA | Description | Computational finding aids | AI/ML | Data Files | ||||||||||||||||
92 | 22-8 | Computational Thinking Integration into Archival Educators’ Networked Instruction | S. Buchanan, K. Gracy, J. Kitchens, R. Marciano - UM, KSU, GPLS, UMD (US) | Computational Thinking, Archival Education, Network Of Networks, Digital Archives, Jupyter Notebooks | USA | Appraisal, Accessioning, Arrangement, Description, Preservation, Access | Computational thinking Computational methods | AI/ML | ALL | ||||||||||||||||
93 | 22-9 | Teachable Insights from Working with The Mary Eliza Project for Gastronomy Students Working with Data | L. Kitchings - NCIS (US) | Data Visualization Tools, 19th Amendment, Dias In Data Analysis, Irish Immigration, Mapping Tools | USA | Appraisal, Accessioning, Arrangement, Description, Preservation, Access | Spatial analytics | Textual Records | |||||||||||||||||
94 | 22-10 | A Technical Assessment of Blockchain in Healthcare with a Focus on Big Data | G. Al-Sumaidaee,A. Alexandridis, R. Alkhudary, Z. Zilic - MU (CA), LARGEPA (FR) | Blockchain, Healthcare, Big Data | Canada, France | Preservation Records management | Authenticity | Textual Records | |||||||||||||||||
95 | 22-11 | Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme | S. Bratt, A. O. Smith - UA, SU (US) | Repositories, Genbank, Know Your Meme, Evolution, Culture | USA | Description | Temporal analytics | Data Files | |||||||||||||||||
96 | 22-12 | LABDRIVE, a Petabyte Scalable, OAIS/ISO 16363 Conformant, for Scientific Research Organizations to Preserve Documents, Processed Data, and Software | D. Giaretta, T. Redondo, A. G. Martínez, M. Fuertes - Giaretta Associates Ltd (UK), LIBNOVA SRL (ES) | Digital Preservation, Scalable Services For Archives, Research Data Management, OAIS, ARCHIVER Project | UK, Spain | Records management | Digital curation | ALL | |||||||||||||||||
97 | 22-13 | Open Science and Research Data Management: A FAIR European Postgraduate Programme | H. Gonzalez-Velez, C. Dobre, B. Sanchez-Solis, B. Antinucci, D. Feenan, D. Gheorghe - NCI, Digital Technology Skills Ltd (IE), ICI Bucuresti, UPB(RO). TUW (AT), USR (IT), | Open Science, Open Data, Data Management, Open Source, Data Carpentry, FAIR Principles | Ireland, Austria, Romania, Italy | Preservation | Digital curation | Data Files | |||||||||||||||||
98 | 22-14 | Event Time Extraction from Japanese News Archives | S. Peng, A. Yamamoto, S. Mori, T. Sekino - KU (JP) | Extracting time events, Clustering | Japan | Description | Computational methods | AI/ML | Textual Records | ||||||||||||||||
99 | IEEE Big Data 2023 - Sorrento, ITALY | https://ai-collaboratory.net/cas/cas-workshops/2023-8th-cas-workshop/ | 12 | ||||||||||||||||||||||
100 | 23-1 | The Sequel: The Development of a Novel Context Capturing Method for the Functional Auto Classification of Records | N. Payne - UBC (CA) | functional classification, computational archival science, big data, records management, machine learning, artificial intelligence, context, diplomatics | Canada | Description Records management | Computational methods | AI/ML | Data Files | ||||||||||||||||