What is Metadata?

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Digital Asset Management Experts everywhere will tell you that Metadata will make or break the effectiveness and success of your DAM. But when referring to Metadata in terms of DAM’s, what exactly does the term Metadata entail?

Association rule mining is a popular and well researched method for discovering interesting relations between variables in large databases. In this paper we introduce the concept of Data mining, Association rule and Multilevel association rule with different algorithm, its advantage and concept of Fuzzy logic and Genetic Algorithm. Multilevel association rules can be mined efficiently using concept hierarchies under a support-confidence framework.

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UPDATED and REPLACED with new file June 2014 Simplified presentation on library metadata evolution, the perils of not curating the metadata properly, and how it's being used "in the wild". But…it’s all on the internet and a keyword search will find it, right? Not exactly... There's been a massive change in cataloging in libraries with the rise of the internet. Everything is connected, including our metadata. Catalogers are no longer isolated, and metadata management is no longer just an internal process. Everything we do now links to the wider world of metadata, pushing libraries into re-purposing our long-held work into the new frontiers of identity management and linked data.

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Open data is a crucial prerequisite for inventing and disseminating the innovative practices needed for agricultural development. To be usable, data must not just be open in principle—i.e., covered by licenses that allow re-use. Data must also be published in a technical form that allows it to be integrated into a wide range of applications. The webinar will be of interest to any institution seeking ways to publish and curate data in the Linked Data cloud. This webinar describes the technical solutions adopted by a widely diverse global network of agricultural research institutes for publishing research results. The talk focuses on AGRIS, a central and widely-used resource linking agricultural datasets for easy consumption, and AgriDrupal, an adaptation of the popular, open-source content management system Drupal optimized for producing and consuming linked datasets. Agricultural research institutes in developing countries share many of the constraints faced by libraries and other documentation centers, and not just in developing countries: institutions are expected to expose their information on the Web in a re-usable form with shoestring budgets and with technical staff working in local languages and continually lured by higher-paying work in the private sector. Technical solutions must be easy to adopt and freely available.

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About the Webinar In May 2012, the Library of Congress announced a new modeling initiative focused on reflecting the MARC 21 library standard as a Linked Data model for the Web, with an initial model to be proposed by the consulting company Zepheira. The goal of the initiative is to translate the MARC 21 format to a Linked Data model while retaining the richness and benefits of existing data in the historical format. In this webinar, Eric Miller of Zepheira will report on progress towards this important goal, starting with an analysis of the translation problem and concluding with potential migration scenarios for a broad-based transition from MARC to a new bibliographic framework.

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As described in the April NISO/DCMI webinar by Dan Brickley, schema.org is a search-engine initiative aimed at helping webmasters use structured data markup to improve the discovery and display of search results. Drupal 7 makes it easy to markup HTML pages with schema.org terms, allowing users to quickly build websites with structured data that can be understood by Google and displayed as Rich Snippets. Improved search results are only part of the story, however. Data-bearing documents become machine-processable once you find them. The subject matter, important facts, calendar events, authorship, licensing, and whatever else you might like to share become there for the taking. Sales reports, RSS feeds, industry analysis, maps, diagrams and process artifacts can now connect back to other data sets to provide linkage to context and related content. The key to this is the adoption standards for both the data model (RDF) and the means of weaving it into documents (RDFa). Drupal 7 has become the leading content platform to adopt these standards. This webinar will describe how RDFa and Drupal 7 can improve how organizations publish information and data on the Web for both internal and external consumption. It will discuss what is required to use these features and how they impact publication workflow. The talk will focus on high-level and accessible demonstrations of what is possible. Technical people should learn how to proceed while non-technical people will learn what is possible.

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Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files. The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day. Speaker Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.

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