Journal of the Text Encoding Initiative, Issue 5 | June 2013, « TEI Infrastructures » [Online], Online Since 19 April 2013, Connection on 04 March 2020
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Digitalizing Historical Collections Through Data Bases- Digital Applications Towards Promotion of Historical Research
IOSR Journal Of Humanities And Social Science (IOSR-JHSS) e-ISSN: 2279-0837, p-ISSN: 2279-0845. PP 01-04 www.iosrjournals.org Digitalizing Historical Collections through Data Bases- Digital Applications towards Promotion of Historical Research Dr. Vidya .H.N Associate Professor Department of History Government Arts , Commerce and Post Graduate College Hassan-573201 Karnataka state [email protected], 9448870802 Abstract: This paper examines the emerging trends of application of digital tools to historical research and focuses on introducing digital training towards making historical research reach youth. Digital history is an approach to examine and representing the past that works with the new communication technologies of the computer internet network and software systems. It is an open arena of scholarly production and communication encompassing the development of new course materials and scholarly data collection efforts. Hence a digital historian encounters research issues relating to collection of historical sources, management of historical sources , exploration of historical sources , manipulation of historical sources and proper collaboration of historical sources. Hence there is a need to adopt a careful and completely informed approach in the use of digital tools for historical research. There is a need for a long term policy framework to develop new initiatives through training to historical scholars. There is a need for developing in house expertise for managing digital historical research. History teachers need awareness in using them appropriately. This needs to be evolved as national policy as higher education sector can play a key role in the evolution of such a policy. Keywords: Digitalizing historical collections, data bases, digital applications , promotion of historical research I. -
Advanced OCR with Omnipage and Finereader
AAddvvHighaa Technn Centerccee Trainingdd UnitOO CCRR 21050 McClellan Rd. Cupertino, CA 95014 www.htctu.net Foothill – De Anza Community College District California Community Colleges Advanced OCR with OmniPage and FineReader 10:00 A.M. Introductions and Expectations FineReader in Kurzweil Basic differences: cost Abbyy $300, OmniPage Pro $150/Pro Office $600; automating; crashing; graphic vs. text 10:30 A.M. OCR program: Abbyy FineReader www.abbyy.com Looking at options Working with TIFF files Opening the file Zoom window Running OCR layout preview modifying spell check looks for barcodes Blocks Block types Adding to blocks Subtracting from blocks Reordering blocks Customize toolbars Adding reordering shortcut to the tool bar Save and load blocks Eraser Saving Types of documents Save to file Formats settings Optional hyphen in Word remove optional hyphen (Tools > Format Settings) Tables manipulating Languages Training 11:45 A.M. Lunch 1:00 P.M. OCR program: ScanSoft OmniPage www.scansoft.com Looking at options Languages Working with TIFF files SET Tools (see handout) www.htctu.net rev. 9/27/2011 Opening the file View toolbar with shortcut keys (View > Toolbar) Running OCR On-the-fly zoning modifying spell check Zone type Resizing zones Reordering zones Enlargement tool Ungroup Templates Saving Save individual pages Save all files in one document One image, one document Training Format types Use true page for PDF, not Word Use flowing page or retain fronts and paragraphs for Word Optional hyphen in Word Tables manipulating Scheduler/Batch manager: Workflow Speech Saving speech files (WAV) Creating a Workflow 2:30 P.M. Break 2:45 P.M. -
OCR Pwds and Assistive Qatari Using OCR Issue No
Arabic Optical State of the Smart Character Art in Arabic Apps for Recognition OCR PWDs and Assistive Qatari using OCR Issue no. 15 Technology Research Nafath Efforts Page 04 Page 07 Page 27 Machine Learning, Deep Learning and OCR Revitalizing Technology Arabic Optical Character Recognition (OCR) Technology at Qatar National Library Overview of Arabic OCR and Related Applications www.mada.org.qa Nafath About AboutIssue 15 Content Mada Nafath3 Page Nafath aims to be a key information 04 Arabic Optical Character resource for disseminating the facts about Recognition and Assistive Mada Center is a private institution for public benefit, which latest trends and innovation in the field of Technology was founded in 2010 as an initiative that aims at promoting ICT Accessibility. It is published in English digital inclusion and building a technology-based community and Arabic languages on a quarterly basis 07 State of the Art in Arabic OCR that meets the needs of persons with functional limitations and intends to be a window of information Qatari Research Efforts (PFLs) – persons with disabilities (PWDs) and the elderly in to the world, highlighting the pioneering Qatar. Mada today is the world’s Center of Excellence in digital work done in our field to meet the growing access in Arabic. Overview of Arabic demands of ICT Accessibility and Assistive 11 OCR and Related Through strategic partnerships, the center works to Technology products and services in Qatar Applications enable the education, culture and community sectors and the Arab region. through ICT to achieve an inclusive community and educational system. The Center achieves its goals 14 Examples of Optical by building partners’ capabilities and supporting the Character Recognition Tools development and accreditation of digital platforms in accordance with international standards of digital access. -
Teaching the Voices of History Through Primary Sources and Historical Fiction: a Case Study of Teacher and Librarian Roles
Syracuse University SURFACE School of Information Studies - Dissertations School of Information Studies (iSchool) 2011 Teaching the Voices of History Through Primary Sources and Historical Fiction: A Case Study of Teacher and Librarian Roles Barbara K. Stripling Syracuse University Follow this and additional works at: https://surface.syr.edu/it_etd Recommended Citation Stripling, Barbara K., "Teaching the Voices of History Through Primary Sources and Historical Fiction: A Case Study of Teacher and Librarian Roles" (2011). School of Information Studies - Dissertations. 66. https://surface.syr.edu/it_etd/66 This Dissertation is brought to you for free and open access by the School of Information Studies (iSchool) at SURFACE. It has been accepted for inclusion in School of Information Studies - Dissertations by an authorized administrator of SURFACE. For more information, please contact [email protected]. ABSTRACT The ability to analyze alternative points of view and to empathize (understand the beliefs, attitudes and actions of another from the other’s perspective rather than from one’s own) are essential building blocks for learning in the 21 st century. Empathy for the human participants of historical times has been deemed by a number of educators as important for the development of historical understanding. The classroom teacher and the school librarian both have a prominent stake in creating educational experiences that foster the development of perspective, empathy, and understanding. This case study was designed to investigate the idea -
ABBYY Finereader Engine OCR
ABBYY FineReader Engine Performance Guide Integrating optical character recognition (OCR) technology will effectively extend the functionality of your application. Excellent performance of the OCR component is one of the key factors for high customer satisfaction. This document provides information on general OCR performance factors and the possibilities to optimize them in the Software Development Kit ABBYY FineReader Engine. By utilizing its advanced capabilities and options, the high OCR performance can be improved even further for optimal customer experience. When measuring OCR performance, there are two major parameters to consider: RECOGNITION ACCURACY PROCESSING SPEED Which Factors Influence the OCR Accuracy and Processing Speed? Image type and Image image source quality OCR accuracy and Processing System settings processing resources speed Document Application languages architecture Recognition speed and recognition accuracy can be significantly improved by using the right parameters in ABBYY FineReader Engine. Image Type and Image Quality Images can come from different sources. Digitally created PDFs, screenshots of computer and tablet devices, image Key factor files created by scanners, fax servers, digital cameras Image for OCR or smartphones – various image sources will lead to quality = different image types with different level of image quality. performance For example, using the wrong scanner settings can cause “noise” on the image, like random black dots or speckles, blurred and uneven letters, or skewed lines and shifted On the other hand, processing ‘high-quality images’ with- table borders. In terms of OCR, this is a ‘low-quality out distortions reduces the processing time. Additionally, image’. reading high-quality images leads to higher accuracy results. Processing low-quality images requires high computing power, increases the overall processing time and deterio- Therefore, it is recommended to use high-quality images rates the recognition results. -
Ocr: a Statistical Model of Multi-Engine Ocr Systems
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2004 Ocr: A Statistical Model Of Multi-engine Ocr Systems Mercedes Terre McDonald University of Central Florida Part of the Electrical and Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation McDonald, Mercedes Terre, "Ocr: A Statistical Model Of Multi-engine Ocr Systems" (2004). Electronic Theses and Dissertations, 2004-2019. 38. https://stars.library.ucf.edu/etd/38 OCR: A STATISTICAL MODEL OF MULTI-ENGINE OCR SYSTEMS by MERCEDES TERRE ROGERS B.S. University of Central Florida, 2000 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the Department of Electrical and Computer Engineering in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2004 ABSTRACT This thesis is a benchmark performed on three commercial Optical Character Recognition (OCR) engines. The purpose of this benchmark is to characterize the performance of the OCR engines with emphasis on the correlation of errors between each engine. The benchmarks are performed for the evaluation of the effect of a multi-OCR system employing a voting scheme to increase overall recognition accuracy. This is desirable since currently OCR systems are still unable to recognize characters with 100% accuracy. -
Introductory Digital History Training for Mid-Career Historians
Scholars as Students: Introductory Digital History Training for Mid-Career Historians Sharon M. Leon and Sheila A. Brennan, Co-Directors Roy Rosenzweig Center for History and New Media, George Mason University August 31, 2015 Table of Contents Overview 1 Rationale 1 Institute Goals 5 Application Process and Participant Selection 8 Staffing 11 Two Weeks in August 12 Evaluation 15 Post-Institute Activities 17 Looking Forward 18 Appendix A: Institute Team 20 Appendix B: Curriculum 21 Appendix C: Application and Evaluation Forms 63 Overview Mid-career college and university faculty generally have achieved a significant level of expertise in their field of study. At the same time, research suggests that experts may not be so clear about every step of the cognitive work they undertake to attack a new research question or problem. In fact, the more expert an individual is, the less easy it is for that person to surface their process and articulate it for someone else. Only by being consciously pushed to consider, reconsider, and articulate these methodological assumptions, can we open a flexible space for new approaches that can complicate and compliment existing habits of mind. Together, these ideas make up some of the underlying approach that the team at the Roy Rosenzweig Center for History and New Media (RRCHNM) at George Mason University (Mason) took to design and in conducting the Doing Digital History <http://history2014.doingdh.org/> (Doing DH) two-week intensive summer institute for mid-career American historians. Funded by the National Endowment for the Humanities (NEH) Office of Digital Humanities as an Institute for Advanced Topics in the Digital Humanities in August 2014 and under the direction of Sharon M. -
Annual Meeting of the National Council on Public History
THE MIDDLE: WHERE DID WE COME FROM? WHERE ARE WE GOING? April 19-22, 2017 // Indianapolis, Indiana Annual Meeting of the National Council on Public History Aerial View of a Parade on Monument Circle, Bretzman Collection, Indiana Historical Society, P0338. IUPUI Graduate Program in Public History Established in 1984, the Graduate Program in Public History at Indiana University – Purdue University Indianapolis (IUPUI) trains historians in the research, analytical, and communications skills needed to apply their work in the public arena. Students benefit from a combination of classroom instruction and practical experiences that prepare them for a wide range of public history occupations. Campus adjacent to downtown Indianapolis, which serves as a learning laboratory for public history students. Program highlights include: • A nationally-recognized public history degree program, with opportunities for students to pursue additional qualifications and certifications in Library Science, Museum Studies, and Documentary Editing • Two academic years of half-time paid internships in local institutions provide significant practical training (interns also receive a substantial tuition remission and health insurance) • Situated near several long-time partner institutions and research repositories (including the Indiana Historical Society, Indiana State Library and Historical Bureau, and Eiteljorg Museum of American Indians and Western Art) Graduate public history courses include: Digital Humanities, Historical Administration, Historic Preservation, -
Narrative (PDF)
Digital Edition Publishing Cooperative for Historical Accounts Abstract and Overview The Digital Edition Publishing Cooperative for Historical Accounts will offer publication and access services to a wide range of editors and users interested in the information contained in historical accounting records. This hub will allow editors to upload their transcriptions from multiple formats—including Excel, Drupal, XML/TEI—without the need for encoding expertise. As outputs, the hub will offer visualizations of current interest to editors—price timelines, commodity pie charts and network diagrams that can be exported to editors’ own websites. In addition, the hosted data will be converted to Resource Definition Framework (RDF), which will make it discoverable for data mining for historians who seek to take advantage of the semantic web and for researchers in fields other than history. This publishing cooperative will leverage relationships developed under Modeling semantically Enhanced Digital Edition of Accounts (MEDEA), a primarily European-based project funded through a 2015 Bilateral Digital Humanities award from the National Endowment for the Humanities and the German Research Foundation. The cooperative will share technical expertise and establish a platform for publication of digital editions that include textual and numerical representations; visualizations of accounting information; and data representation referencing a shared MEDEA bookkeeping ontology. The proposed platform will replicate a system developed at the Centre for Information Modeling (Zentrum für Informationsmodellierung—ZIM), Austrian Centre for Digital Humanities, at the University of Graz: the Humanities Asset Management System (Geisteswissenschaftliches Asset Management System—GAMS), a FEDORA Commons-based infrastructure for data enrichment, publication, and long-term preservation of digital humanities data. -
Operator's Guide Introduction
P3PC-2432-01ENZ0 Operator's Guide Introduction Thank you for purchasing our Color Image Scanner, ScanSnap S1500/S1500M (hereinafter referred to as "the ScanSnap"). This Operator's Guide describes how to handle and operate the ScanSnap. Before using the ScanSnap, be sure to read this manual, "Safety Precautions" and "Getting Started" thoroughly for proper operation. Microsoft, Windows, Windows Vista, PowerPoint, SharePoint, and Entourage are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Word and Excel are the products of Microsoft Corporation in the United States. Apple, Apple logo, Mac, Mac OS, and iPhoto are trademarks of Apple Inc. Adobe, the Adobe logo, Acrobat, and Adobe Reader are either registered trademarks or trademarks of Adobe Systems Incorporated. Intel, Pentium, and Intel Core are either registered trademarks or trademarks of Intel Corporation in the United States and other countries. PowerPC is a trademark of International Business Machines Corporation in the United States, other countries, or both. Cardiris is a trademark of I.R.I.S. ScanSnap, ScanSnap logo, and CardMinder are the trademarks of PFU LIMITED. Other product names are the trademarks or registered trademarks of the respective companies. ABBYY™ FineReader™ 8.x Engine © ABBYY Software House 2006. OCR by ABBYY Software House. All rights reserved. ABBYY, FineReader are trademarks of ABBYY Software House. Manufacture PFU LIMITED International Sales Dept., Imaging Business Division, Products Group Solid Square East Tower, 580 Horikawa-cho, Saiwai-ku, Kawasaki-shi, Kanagawa 212-8563, Japan Phone: 044-540-4538 All Rights Reserved, Copyright © PFU LIMITED 2008. 2 Introduction Description of Each Manual When using the ScanSnap, read the following manuals as required. -
What Is Digital History? a Look at Some Exemplar Projects
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications, Department of History History, Department of 5-2009 What is Digital History? A Look at Some Exemplar Projects Douglas Seefeldt University of Nebraska - Lincoln, [email protected] William G. Thomas III University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/historyfacpub Part of the History Commons Seefeldt, Douglas and Thomas, William G. III, "What is Digital History? A Look at Some Exemplar Projects" (2009). Faculty Publications, Department of History. 98. https://digitalcommons.unl.edu/historyfacpub/98 This Article is brought to you for free and open access by the History, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications, Department of History by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. From the “Intersections: History and New Media” forum in the May 2009 issue of Perspectives on History What is Digital History? A Look at Some Exemplar Projects By Douglas Seefeldt and William G. Thomas Both of us came into the history profession in the early 1990s and went through graduate school just before the remarkable emergence of the World Wide Web. Of course, we can see now that a communication revolution was taking place during those years and that it was changing the way we do historical scholarship and teaching. After the development of browsers like Mosaic Netscape and Netscape Navigator in 1994, the web grew at an astonishing rate into a global information network. Even at the early stages of the web’s growth, history was all over the web. -
Introduction to Digital History
HIST 7219-01 Northeastern University Fall 2013 Introduction to Digital History Professor Benjamin Schmidt http://benschmidt.org/dighist13 Email: [email protected] Office Hours: Meserve Hall 219 Tuesdays 3-5 pm, or by appointment Overview This course in an introduction to the methods and practice of history in a digi- tal age. The goal is to introduce students to the wide variety of work being done computationally by historians today, Historians are above all curators and creators of texts and artifacts. The rise of computing technology and the Internet has the potential to reshape all sorts of parts of historical practice, from curation to research to dissemination. Following the introduction, we’ll be looking at how digitization affects the historian’s craft in three different domains of work: 1. What sort of sources we use; 2. What sort of research we can do with them; and 3. How we create and share historical research with the many publics historians interact with. In all of these stages, we’re going to get our hands messy. To understand the pos- sibilities and the limitations of digital work, you have to engage with it directly. You’re not expected to come into this class a master programmer, and you won’t leave it one. This is an introductory course to a large and growing field. Rather than try to completely master any single technique (we could certainly spend at least a seminar on text analysis techniques alone), we’ll be trying to get a broad introduction to let us assess and create some of the work already out there.