PPT-Evidence from Metadata

Author : marina-yarberry | Published Date : 2016-09-22

INST 734 Doug Oard Module 8 Agenda M etadata Intentional description Incidental description Linked data Named Entity Recognition Machine learning techniques can

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Evidence from Metadata: Transcript

INST 734 Doug Oard Module 8 Agenda M etadata Intentional description Incidental description Linked data Named Entity Recognition Machine learning techniques can find Location in the text of a reference to an entity. You Can Use. For. DAMA Chicago. Bob Dein. Metadata Solutions Architect. Allen Systems Group. bob.dein@asg.com. August 15, 2012. About ASG Software Solutions. www.asg.com. Copyright® 2011 Allen Systems Group, Inc.. Cataloger. LIS Section, MASAL 2014. Michael E. Unsworth. Michigan State University Libraries. Janet A. Ginsburg . Chicago . Tribune Collection. SUPERIOR IMAGE QUALITY. ProQuest Historical Newspapers. . Belarus. , . Russia and. Kazakhstan. Miroslava Brchanova, Moscow, October, 2014. Metadata of national statistical offices. 2. In fact, . all national statistical . offices . (NSOs) . all over the . A Business Perspective. Wendy Thomas – Minnesota Population Center. Marcel . Hebing. – German Socio-Economic Panel Study (SOEP), DIW Berlin. EDDI 2012. EDDI-2012_Business by Wendy Thomas and Marcel . Jenn Riley. Metadata Librarian. Indiana University Digital Library Program. Many definitions of metadata. “Data about data”. “Structured information about an information resource of any media type or format.” (. . Combining Content and Metadata. Libby . Hertenstein. Susannah . Cleveland. Bowling Green State University. ?. The Big Question. . Our Collections. Outreach. Outreach. Outreach. ArtBabble.com. Our First Videos. Goals: . shared understanding of metadata purposes. understanding of data types, identifiers. Tutorial. DC 2012, Kuching, Malaysia. Defining “metadata”. MetaData defined. Data with a purpose. constructed . m. Simon Flower. Jürgen Matzka. Geomagnetic Observatory Metadata:. What we record. 180 active, 360 inactive observatories. 200 contacts in 125 institutions. Many instruments creating thousands of data sets. Bruce J. Evans: . ALCTS Cataloging Competencies Task . Force, Chair. Assistant Director for Delivery Services: Baylor University . Bruce_Evans@Baylor.edu. . Background Information. Background Information. Intelligent Learning Object Guide (iLOG). S.A. . Riley. a. , L.D. . Miller. a. , L.-K. . Soh. a. , A. . Samal. a. , and G. . Nugent. b. a. University. of Nebraska—Lincoln: Department of Computer Science and Engineering. David Haynes. City University London. Metadata for Information Management and Retrieval. Description. Retrieval. Management. Rights and ownership. Interoperability and . e-commerce. Five Purposes of Metadata. Joanne Evans and . Mirna. . Willer. Agenda. Introductions. Mirna’s. . story. Entity-Relationship Modeling Method: “Bibliographic Universe”. Joanne’s story. Recordkeeping Metadata Models. Metadata Modeling Exercise. Sherry Lake, Senior Data Consultant. Bill Corey, Data Consultant. Jeremy . Bartczak. , . Intellectual Access . & . Metadata Services Librarian. © . 2013 . by the Rector and Visitors of the University of Virginia.. DB for Upper Atmosphere. http://. www.iugonet.org. /en/. Inter-university Upper atmosphere. Global Observation . NETwork. . (IUGONET). A. Yatagai. 1. , Y. . Koyama. 2. , T. Hori. 3. , S. Abe. 4. , .

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