Digitally-Mediated Practices of Geospatial Archaeological Data
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Digital Reconstruction of an Archaeological Site Based on the Integration of 3D Data and Historical Sources
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W1, 2013 3D-ARCH 2013 - 3D Virtual Reconstruction and Visualization of Complex Architectures, 25 – 26 February 2013, Trento, Italy DIGITAL RECONSTRUCTION OF AN ARCHAEOLOGICAL SITE BASED ON THE INTEGRATION OF 3D DATA AND HISTORICAL SOURCES G. Guidi a, *, M. Russo b, D. Angheleddu a a Dept. of Mechanics, Politecnico di Milano, Italy (gabriele.guidi, davide.angheleddu)@polimi.it b Dept. of Design, Politecnico di Milano, Italy [email protected] Commission V, WG V/4 KEY WORDS: 3D survey, archaeological sites, reality based modeling, digital reconstruction, integration of methods, Cham Architecture ABSTRACT: The methodology proposed in this paper in based on an integrated approach for creating a 3D digital reconstruction of an archaeological site, using extensively the 3D documentation of the site in its current state, followed by an iterative interaction between archaeologists and digital modelers, leading to a progressive refinement of the reconstructive hypotheses. The starting point of the method is the reality-based model, which, together with ancient drawings and documents, is used for generating the first reconstructive step. Such rough approximation of a possible architectural structure can be annotated through archaeological considerations that has to be confronted with geometrical constraints, producing a reduction of the reconstructive hypotheses to a limited set, each one to be archaeologically evaluated. This refinement loop on the reconstructive choices is iterated until the result become convincing by both points of view, integrating in the best way all the available sources. The proposed method has been verified on the ruins of five temples in the My Son site, a wide archaeological area located in central Vietnam. -
Archaeology and the Big Data Challenge
Think big about data: Archaeology and the Big Data challenge Gabriele Gattiglia Abstract – Usually defined as high volume, high velocity, and/or high variety data, Big Data permit us to learn things that we could not comprehend using smaller amounts of data, thanks to the empowerment provided by software, hardware and algorithms. This requires a novel archaeological approach: to use a lot of data; to accept messiness; to move from causation to correlation. Do the imperfections of archaeological data preclude this approach? Or are archaeological data perfect because they are messy and difficult to structure? Normal- ly archaeology deals with the complexity of large datasets, fragmentary data, data from a variety of sources and disciplines, rarely in the same format or scale. If so, is archaeology ready to work more with data-driven research, to accept predictive and probabilistic techniques? Big Data inform, rather than explain, they expose patterns for archaeological interpretation, they are a resource and a tool: data mining, text mining, data visualisations, quantitative methods, image processing etc. can help us to understand complex archaeological information. Nonetheless, however seductive Big Data appear, we cannot ignore the problems, such as the risk of considering that data = truth, and intellectual property and ethical issues. Rather, we must adopt this technology with an appreciation of its power but also of its limitations. Key words – Big Data, datafication, data-led research, correlation, predictive modelling Zusammenfassung – Üblicherweise als Hochgeschwindigkeitsdaten (high volume, high velocity und/oder high variety data) bezeichnet, machen es Big Data möglich, dank dem Einsatz von Software, Hardware und Algorithmen historische Prozesse zu studieren, die man anhand kleinerer Datenmengen nicht verstehen kann. -
Data Mining and Data Warehousing Unit 1: Introduction
https://genuinenotes.com Data Mining and Data Warehousing Unit 1: Introduction Data Mining Databases today can range in size into the terabytes — more than 1,000,000,000,000 bytes of data. Within these masses of data lies hidden information of strategic importance. But when there is such enormous amount of data how could we draw any meaningful conclusion? We are data rich, but information poor. The abundance of data, coupled with the need for powerful data analysis tools, has been described as a data rich but information poor situation. Data mining is being used both to increase revenues and to reduce costs. The potential returns are enormous. Innovative organizations worldwide are using data mining to locate and appeal to higher-value customers, to reconfigure their product offerings to increase sales, and to minimize losses due to error or fraud. What is data mining? Mining is a brilliant term characterizing the process that finds a small set of precious bits from a great deal of raw material. Definition: Data mining is the process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in unique ways that are both understandable and useful to the data owner. Data mining is an interdisciplinary field bringing together techniques from machine learning, pattern recognition, statistics, databases, and visualization to address the issue of information extraction from large database. -
Mitigating the Curation Crisis of the 21St Century
A California Case Study on Procedures to Reassemble and Reevaluate Archaeological Artifact Processing: Mitigating the Curation Crisis of the 21st Century By Allysha A. Leonard Senior Thesis Advisor: Tsim Schneider Submitted to the Department of Anthropology University of California Santa Cruz Santa Cruz, CA 95060 3/20/19 In partial fulfillment of the requirements for the degree of Bachelor’s in Anthropology Table of Contents Table of Contents ............................................................................................................................ 2 I. Abstract ........................................................................................................................................ 3 II. Introduction ................................................................................................................................ 6 Background in Under Processing: Lack of Analysis .................................................................. 8 Background in Over Processing: Artifact Hoarding and Lack of Ethical Deaccessioning ........ 9 Defining Waste and Defects in the Artifact Process ................................................................. 16 Defining Lean Systems and Kaizen Waste Improvement Strategies ........................................ 17 III. Methods and Case Studies ...................................................................................................... 21 A “A Reality Check” — Field Lab and CRM Experience: Sesnon House, Cabrillo College, Soquel, CA ............................................................................................................................... -
The Licit and the Illicit in Archaeological and Heritage Discourses
CHALLENGING THE DICHOTOMY EDIT ED BY LES FIELD CRISTÓBAL GNeccO JOE WATKINS CHALLENGING THE DICHOTOMY • The Licit and the Illicit in Archaeological and Heritage Discourses TUCSON The University of Arizona Press www.uapress.arizona.edu © 2016 by The Arizona Board of Regents Open-access edition published 2020 ISBN-13: 978-0-8165-3130-1 (cloth) ISBN-13: 978-0-8165-4169-0 (open-access e-book) The text of this book is licensed under the Creative Commons Atrribution- NonCommercial-NoDerivsatives 4.0 (CC BY-NC-ND 4.0), which means that the text may be used for non-commercial purposes, provided credit is given to the author. For details go to http://creativecommons.org/licenses/by-nc-nd/4.0/. Cover designed by Leigh McDonald Publication of this book is made possible in part by the Wenner-Gren Foundation. Library of Congress Cataloging-in-Publication Data Names: Field, Les W., editor. | Gnecco, Cristóbal, editor. | Watkins, Joe, 1951– editor. Title: Challenging the dichotomy : the licit and the illicit in archaeological and heritage discourses / edited by Les Field, Cristóbal Gnecco, and Joe Watkins. Description: Tucson : The University of Arizona Press, 2016. | Includes bibliographical references and index. Identifiers: LCCN 2016007488 | ISBN 9780816531301 (cloth : alk. paper) Subjects: LCSH: Archaeology. | Archaeology and state. | Cultural property—Protection. Classification: LCC CC65 .C47 2016 | DDC 930.1—dc23 LC record available at https:// lccn.loc.gov/2016007488 An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. -
AAA2021 Session Themes V2
SESSION THEMES After Archaeology in Practice: Student Research in Archaeology and Cultural Heritage Management An extraordinary and excitingly diverse range of research topics are pursued by students in archaeology and cultural heritage management and with the advent of covid-19, students have engaged with history, science and culture in ways we haven’t even begun to fully explore. Disseminating your research results to an audience of archaeologists at Australia’s annual conference was a huge hit at the 2019 AAA Conference on the Gold Coast and by request we propose to run a student-led and focussed session for the 2021 AAA conference. This session focusses on student research and provides an opportunity to speak alongside a group of your peers in a safe moderated space. We support and encourage student researchers at all levels to present a paper on their research in any area of archaeology and cultural heritage management from national and international contexts. Presenting in this forum allows you to develop important skills at communicating your research results. Presentations will be a maximum of 10-15minutes with 5 minutes for questions. Archaeological Science Collaborations: The ARCAS Network Session Archaeological science has become an integral part of Australian archaeology, with advancements in technologies allowing new types of data and/or higher resolution data to be produced. These data underpin detailed and nuanced interpretations of past human behaviour and contribute to understanding how people lived on Country. Archaeological science, with its foundations in western science, can play an important role in reconciliation and truth telling, especially when combined with the traditional knowledges of First Nation people. -
The Geoarchaeology of Mound Key, an Anthropogenic Island in Southwest Florida, USA
RESEARCH ARTICLE From Shell Midden to Midden-Mound: The Geoarchaeology of Mound Key, an Anthropogenic Island in Southwest Florida, USA Victor D. Thompson1☯*, William H. Marquardt2☯, Alexander Cherkinsky3‡, Amanda D. Roberts Thompson4‡, Karen J. Walker2‡, Lee A. Newsom5‡, Michael Savarese6‡ 1 Center for Archaeological Sciences and Department of Anthropology, University of Georgia, Athens, Georgia, United States of America, 2 Florida Museum of Natural History, University of Florida, Gainesville, a11111 Florida, United States of America, 3 Center for Applied Isotope Studies, University of Georgia, Athens, Georgia, United States of America, 4 Laboratory of Archaeology, University of Georgia, Athens, Georgia, United States of America, 5 Department of Anthropology, Pennsylvania State University, State College, Pennsylvania, United States of America, 6 Department of Marine and Ecological Science, Florida Gulf Coast University, Ft. Myers, Florida, United States of America ☯ These authors contributed equally to this work. ‡ These authors also contributed equally to this work. * [email protected] OPEN ACCESS Citation: Thompson VD, Marquardt WH, Cherkinsky A, Roberts Thompson AD, Walker KJ, Newsom LA, et al. (2016) From Shell Midden to Midden-Mound: Abstract The Geoarchaeology of Mound Key, an Mound Key was once the capital of the Calusa Kingdom, a large Pre-Hispanic polity that Anthropogenic Island in Southwest Florida, USA. PLoS ONE 11(4): e0154611. doi:10.1371/journal. controlled much of southern Florida. Mound Key, like other archaeological sites along the pone.0154611 southwest Gulf Coast, is a large expanse of shell and other anthropogenic sediments. The Editor: Karen Hardy, ICREA at the Universitat challenges that these sites pose are largely due to the size and areal extent of the deposits, Autònoma de Barcelona, SPAIN some of which begin up to a meter below and exceed nine meters above modern sea levels. -
JURN : the Directory of Scholarly Ejournals in The
Search and retrieve JURN directory full-text from all these ejournals, at JURN An organised links directory for the arts & humanities, listing selected open access or otherwise free ejournals. This is a partial listing of English-language journals indexed by the JURN search-engine, now searching over 4,000 ejournals in the arts & humanities. JURN uses article URLs, rather than the front-page URLs used in this directory. Directory updated: 9th December 2018. © 2018. All links in this directory were checked and working at: 9th December 2018. For best results please view in widescreen, or else the 3rd and 4th columns may be very narrow. Architecture and place History : general Literature : literary criticism Feminist studies A|Z : ITU Journal of Faculty of Architecture. Agricultural History Society journal. After All. 19th Century Gender Studies. A+B : Architecture and the Built Environment . Associated Students for Historic Preserv ation (ASHP) journal. Alicante Journal of English Studies. Catalyst : Feminism, Theory, T echnoscience. ABE : architecture beyond Europe. Athens Journal of History. Anglica : Int. J. of English Studies. Diotema : women and gender in the ancient world. Aether : journal of media geograph y. British Numismatic Journal . Anglo Saxonica. Feminists Against Censorship newsletter. Alam al-Bina. Built Heritage. ABO : ... Women in the Arts, 1640-1830. Feminist Europa : review of books. Architecture W eek. ChildCult (History of childhood). Apollonian, The. Films for the Feminist Classroom. Architectural Histories . Cliodynamics. At The Edge. Journal of Interdisciplinary Feminist Thought. Archnet-IJAR : International Journal of Architectural Research. Comparative Civilizations Review. Athens Journal of Philology. Kapralova Society Journal : a journal of women in music. -
Data Lakes, Data Hubs and AI
Data Lakes, Data Hubs and AI Dan McCreary Distinguished Engineer in Artificial Intelligence Optum Advanced Applied Technologies Background for Dan McCreary • Co-founder of "NoSQL Now!" conference • Coauthor (with Ann Kelly) of "Making Sense of NoSQL" • Guide for managers and architects • Focus on NoSQL architectural tradeoff analysis • Basis for 40 hour course on database architectures • How to pick the right database architecture • http://manning.com/mccreary • Focus on metadata and IT strategy (capabilities) • Currently focused on NLP and Artificial Intelligence Training Data Management 2 The Impact of Deep Learning Predictive Precision Deep Learning Traditional Machine Learning (Linear Regression) Training Set Size Large datasets create competitive advantage 3 High Costs of Data Sourcing for Deep Learning $ % OF TIME % OF THE BILLION IN 80 WASTED 60 COST 3.5 SPENDING By data scientists just getting Of data warehouse projects In 2016 on data integration access to data and preparing is on ETL software data for analysis Six Database Core Architecture Patterns Relational Analytical (read-mostly OLAP) Key-Value key value key value key value key value Column-Family Graph Document Which architectures are best for data lakes, data hubs and AI? 5 Role of the Solution Architect Relational Analytical (OLAP) Key-Value Help! k v k v k v k v Column-Family Graph Document Business Unit Sally Solutions Title: Solution Architect • Non-bias matching of business problem to the right data architecture before we begin looking at a specific products 6 Google Trends Data Lake Data Hub 7 Data Science and Deep Learning Data Science Deep Learning 8 Data Lake Definition ~10 TB and up $350/10TB Drive A storage repository that holds a vast amount of raw data in its native format until it is needed. -
Integrating Archaeology and Conservation of Archaeology and Conservation the Past, Forintegrating the Future
SC 13357-2 11/30/05 2:39 PM Page 1 PROCEEDINGS PROCEEDINGS The Getty Conservation Institute The Conservation Los Angeles Theme of the 5th World Archaeological Congress Of the Past, for the Future: Washington, D.C. Printed in Canada June 2003 Integrating Archaeology and Conservation Of the Past, for the Future: Integrating Archaeology and Conservation The Getty Conservation Institute i-xii 1-4 13357 10/26/05 10:56 PM Page i Of the Past, for the Future: Integrating Archaeology and Conservation i-xii 1-4 13357 10/26/05 10:56 PM Page ii i-xii 1-4 13357 10/26/05 10:56 PM Page iii Of the Past, for the Future: Integrating Archaeology and Conservation Proceedings of the Conservation Theme at the 5th World Archaeological Congress, Washington, D.C., 22–26 June 2003 Edited by Neville Agnew and Janet Bridgland The Getty Conservation Institute Los Angeles i-xii 1-4 13357 10/26/05 10:56 PM Page iv The Getty Conservation Institute Timothy P. Whalen, Director Jeanne Marie Teutonico, Associate Director, Field Projects and Science The Getty Conservation Institute works internationally to advance conserva- tion and to enhance and encourage the preservation and understanding of the visual arts in all of their dimensions—objects, collections, architecture, and sites. The Institute serves the conservation community through scientific research; education and training; field projects; and the dissemination of the results of both its work and the work of others in the field. In all its endeavors, the Institute is committed to addressing unanswered questions and promoting the highest possible standards of conservation practice. -
The Marine Archaeological Resource
The marine archaeological resource IFA Paper No. 4 Ian Oxley and David O’Regan IFA PAPER NO. 4 THE MARITIME ARCHAEOLOGICAL RESOURCE Published by the Institute of Field Archaeologists SHES, University of Reading, Whiteknights, PO Box 227, Reading RG6 6AB ISBN 0 948393 18 1 Copyright © the authors (text), illustrations by permission © IFA (typography and design) Edited by Jenny Moore and Alison Taylor The authors Ian Oxley, formerly Deputy Director of the Archaeological Diving Unit, University of St Andrews, is researching the management of historic wreck sites at the Centre for Environmental Resource Management, Department of Civil and Offshore Engineering, Heriot-Watt University, Edinburgh. David O’Regan is a freelance archaeologist, formerly Project Manager for the Defence of Britain Project, Imperial War Museum. Acknowledgements A document attempting to summarise a subject area as wide as UK maritime archaeology inevitably involves the input of a large number of people. It is impossible to name them all and therefore any omissions are regretted but their support is gratefully acknowledged. Particular thanks go to Martin Dean, Mark Lawrence, Ben Ferrari, Antony Firth, Karen Gracie-Langrick, Mark Redknap and Kit Watson. General thanks go to the past and present staff members of the Archaeological Diving Unit and the Scottish Institute of Maritime Studies at the University of St Andrews, and officers and Council members of the IFA and its Maritime Affairs Special Interest Group. The IFA gratefully acknowledges the assistance of the Royal Commission on the Historical Monuments of England, Royal Commission on the Ancient and Historical Monuments of Scotland, Historic Scotland, and the Environment and Heritage Service, Historic Buildings and Monuments, DoE(NI), for funding this paper. -
Supervised Machine Learning Models for Fake News Detection
CCT College Dublin ARC (Academic Research Collection) ICT Student Achievement Summer 6-15-2019 Supervised Machine Learning Models for Fake News Detection Andrea Lopez CCT College Dublin Adelo Vieira CCT College Dublin Zafar Ahsan CCT College Dublin Farooq Sabib CCT College Dublin Shirley Marinho CCT College Dublin Follow this and additional works at: https://arc.cct.ie/ict Part of the Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons, and the Theory and Algorithms Commons Recommended Citation Lopez, Andrea; Vieira, Adelo; Ahsan, Zafar; Sabib, Farooq; and Marinho, Shirley, "Supervised Machine Learning Models for Fake News Detection" (2019). ICT. 5. https://arc.cct.ie/ict/5 This Dissertation is brought to you for free and open access by the Student Achievement at ARC (Academic Research Collection). It has been accepted for inclusion in ICT by an authorized administrator of ARC (Academic Research Collection). For more information, please contact [email protected]. CCT COLLEGE Supervised Machine Learning Models for Fake News Detection A Supervised Machine Learning Models for Fake News Detection by Gofaas group by GoSupervisedfaas group Machine Learning Models for Fake News Detection [Figure.1]by Gofaas group A Supervised Machine Learning by GoModelsfaas group for Fake News Detection 1 INDEX: Executive Summary Chapter 1. Introduction ................................................................................................. 6 Initial Proposal ..............................................................................................................