Gives step by step instructions to Publish a ISIS (WINISIS or CDS/ISIS) database in Greenstone Digital Library software. The core of the methodology is to 1) print entire database to a file; 2) chop the file to get single html file per record; 3) use of HTML META tags to generate metadata and 4) Creating a digital library by using Greenstone Digital Library Software(GSDL). The GSDL can be used for providing access to this collection by server or from CDROM.

Conference is sponsored by the Library of Congress Cataloging Directorate. / The decade of the 1990s saw the development of a proliferation of metadata element sets for resource description. This paper looks at a subset of these metadata schemes in more detail: the TEI header, EAD, Dublin Core, and VRA Core. It looks at why they developed as they did, major points of difference from traditional (AACR2/MARC) library cataloging, and what advantages they offer to their user communities. It also discusses challenges to implementers of these schemes and possible future developments. It goes on to identify some commonalties among these cases, and to attempt to generalize from these some lessons for developers of metadata element sets. It concludes by suggesting we also look carefully at emerging schemes being developed by publishers in support of electronic commerce and rights management, and think seriously about the implications of commodity metadata upon our traditional bibliographic apparatus.

This is a preprint of a paper published. Dervos, D. and Coleman, A. (2006). A Common Sense Approach to Defining Data, Information and Metadata. Advances in Knowledge Organization: Proceedings of the Ninth International Society for Knowledge Organization 2006 Conference, Vienna. June 2006, Edited by G. Budin and C. Swertz. Berlin: Ergon. Abstract: Many competing definitions for the terms data, information, metadata, and knowledge can be traced in the library and information science literature. The lack of a clear consensus in the way reference is made to the corresponding fundamental concepts is intensified if one considers additional disciplinary perspectives, e.g. database technology, data mining, etc. In the present paper, we use a common sense approach borrowed from the data mining community, which has successfully solved many data processing problems, to selectively survey the literature, and define these terms in a way that can advance the interdisciplinary development of information systems.

This thesis discusses the design of three systems that were built using Critical Making as an investigative method. The systems are: an RFID antenna that links ISBNs to online metadata; metamash.org, which aggregates ISBN metadata; and doitag.org, which allows users to associate tags with DOI numbers. Each system was designed to interrogate issues related to identification, categorization and the institutional foundations of, and individual practices surrounding, information systems, providing levers to get at deeper ontological issues. Each investigation points in its own way to a profound lack of understanding about the ontology of digital, or hybrid material/digital objects. David Weinberger's ordering scheme for material and digital objects is used because it allows for a discussion of ordering systems in general. However, focusing solely on categorization systems masks more important questions about the ontology of such objects and how building and using such objects fundamentally defines what they are.

This thesis discusses the design of three systems that were built using Critical Making as an investigative method. The systems are: an RFID antenna that links ISBNs to online metadata; metamash.org, which aggregates ISBN metadata; and doitag.org, which allows users to associate tags with DOI numbers. Each system was designed to interrogate issues related to identification, categorization and the institutional foundations of, and individual practices surrounding, information systems, providing levers to get at deeper ontological issues. Each investigation points in its own way to a profound lack of understanding about the ontology of digital, or hybrid material/digital objects. David Weinberger's ordering scheme for material and digital objects is used because it allows for a discussion of ordering systems in general. However, focusing solely on categorization systems masks more important questions about the ontology of such objects and how building and using such objects fundamentally defines what they are.

Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, June 2008. Thesis (M.S. in Systems Technology (Command, Control, and Communications (C3)))--Naval Postgraduate School, June 2008. / Thesis Advisor(s): MacKinnon, Douglas. "June 2008." Description based on title screen as viewed on August 25, 2008. M.S. in Information Technology Management awarded to Joseph J. Sundland, June 2008. M.S. in Systems Technology (Command, Control, and Communications (C3)) awarded to Christopher J. Carroll, June 2008. Includes bibliographical references (p. 93-96). Also available in print.

Thesis (M.S.S.I.S.)--Regis University, Denver, Colo., 2008. / Title from PDF title page (viewed on Feb. 03, 2009). Includes bibliographical references.

Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: Query; Model; Provenance. Includes bibliographical references (leaves 46-48).

Le nombre de caméras vidéos déployées de nos jours tant dans des contextes professionnels (e.g., dans le cadre des systèmes de vidéo surveillance urbaine) aussi bien que personnels (e.g., caméras de smartphones) augmente de façon exponentielle, générant des volumes de contenus considérables. Rendre le filtrage et la recherche de ces contenus plus efficace est une préoccupation inévitable, avec des exigences de vélocité et de mobilité des contenus liées aux nouvelles infrastuctures qui obligent à revitaliser les techniques d'indexation "classiques". Les approchent existantes pour répondre à ce besoin se focalisent sur deux axes: (1) la proposition d'outils d'analyse des contenus vidéos pour l'extraction automatique d'informations comme le contour des personnes ou la présence d'une activité "anormale"; (2) l'indexation des vidéos en utilisant des métadonnées liées aux contenus (e.g., un texte descriptif, des tags, des données de géolocalisation). Nos travaux se situent dans le second axe. Le contexte d'application de notre travail est celui des systèmes de vidéosurveillance. Notre recherche a été guidée par différents projets de recherche en collaboration avec la Police Nationale, la SNCF, la RATP et Thalès Sécurité. Dans le contexte, les systèmes visés sont caractérisés par: (1) une grande "variété" des contaxtes d'acquisition des contenus (e.g., indoor, outdoor), (2) un très grand volume de données et un manque d'accès à certains contenus, (3) la multitude des formats fermés propriétaires et l'absence de standards, qui engendre une hétérogénéité des formats des données et des métadonnées issues de tels systèmes. De ce fait, d'une part, le développement d'outils d'analyse du contenu génériques et performants dans tous les contextes est très problématique compte tenu des diversités des contextes d'acquisition, des volumes à traiter et de l'inaccessibilité directe de certianes sources. D'autre part, l'absence de métadonnées ajoutées aux vidéos (tags, commentaires) rend quasi caduque l'utilisation des approches d'indexation classique. La première contribution de ce mémoire est une conséquence directe de ce constat et consiste en un dictionnaire de métadonnées spécifique au contexte de la vidéosurveillance. Ce dictionnaire est structuré dans un format qui enrichit la norme ISO 22311 qui a comme objectif la facilitation de l'interopérabilité des systèmes de vidéosurveillance. La seconde contribution concerne la recherche et le filtrage de vidéos basés sur des métadonnées spatio-temporelles. Nous avons réalisé une étude sur le traitement actuel des requêtes dans le cadre des systèmes de vidéosurveillance qui met en évidence que le point d'entrée de toute requête est une trajectoire reconstituée à partir des positions d'une personne par exemple et d'un intervalle temporel qui est ensuite utilisée pour retrouver des extraits vidéos des caméras qui ont pu filmer une scène d'intérêt. De ce fait, la recherche de vidéos est positionnée comme un problème de modélisation des données spatio-temporelles. / The number of video cameras deployed nowadays in both professional (e.g., urban videosurveillance systems) and personal (e.g., smartphone's cameras) contexts is growing exponentially, producing some considerable volumes of data. Driving the flitering and the retrieval of this content more effective is a major concern, driven by the content mobility and velocity requirements related to the utilization of new technologies, requirements that lead to the need to revitalize the classical indexing techniques. The actual approches that aim to satisfy these requirements have a twofold orientation: (1) the proposition of video content based indexing tools that automatically extract information like a person's shape or the persence of an "abnormal" activity in the video; (2) the video indexing based on metadata like textual descriptions, tags or geolocalisation data. Our work concern this second research direction. the application context of our work is related to videosurveillance systems. Our research was guided by different research projects in collaboration with the National Police, SNCF, RATP end Thales Sécurité. In the context, the targeted systems are characterized by: (1) the big "variety" of content acquisition contexts (e.g., indoor, outdoor), (2) the big data volume and the lack of access to some content, (3) the multitude of system owners and the lack of standards, wich leads to a heterogeneity of data and metadata formats generated by videosurveillance systems. Consequently, on one hand, the developement of content based indexing tools generic and reliable in all contexts is problematic given tha acquisition contexts diversity, the content volume and the lack of direct access to certain sources. On the other hand, the lack of metadata associated to the video (tags, comments) makes the use of classical indexing approaches very difficult. The first contribution of this report is a direct consequence of this assessment and consists of a metadata dictionary specific for the videosurveillance context. This dictionary is structure in a format that enriches the ISO 22311 standard whose objective is to facilitate the interoperability of videosurveillance systems. The second contribution concerns the video filtering and retrieval. We did an analysis of the current query processing mechanism within the videosurveillance systems that highlighted the fact that the entry point of any query is a trajectory reconstituted based on a person's positions and a time interval. These elements are used to select the videos of the cameras that are likely to have filmed the scenery of interest. Consequently, the video retrieval is trated as a spatio-temporal data modelling problem.

This master's degree thesis focuses on the issues of visualization formerly preprocessed business and technical metadata in a business environment. Within the process of elabora-tion and usage of the collected data in the company, it is necessary to present the data to the users in a comfortable, comprehensible and clear way. The first goal of this thesis is to describe and to specify the term of metadata in the field of theory and on the level of busi-ness, their main structure, their occurrence in a non-visual manner and related places where we can find metadata in the heterogeneous business environment. This part also includes a short introduction to the usage of metadata that is related and originates from business in-telligence and a description of Company encyclopedia that can syndicate these resources for further utilization. When defined, the sources, destinations and purpose of technical and business metadata can be used in the second part of the thesis -- this part is aimed at model-ing the use cases for the visual component that can be applied to business and technical metadata. Use cases will be focused on the roles of the users that will use this component and to discover the primary demands and requirements of these users and the functionality that will be indispensable. After the use cases are defined we can process to the next stage of visual component development -- the data must be visualized itself and we have to find proper means to achieve this with user experience being the main focus. Then we have to encapsulate the visualization with a graphical user interface that will meet the requirements and demands of the users' roles specified by the use cases section by prototyping. Lastly, the results of the previous chapters are used to prototype the visual component suitable for a web environment which is based on principles of reusability, data-driven approach, and uses modern web technologies such as framework and library D3.js, HTML5, CSS3, and SVG.