Topic
Meta Data Services
About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.
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01 Jan 2010
TL;DR: This research presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually cataloging and cataloging data in order to centrally manage resources.
Abstract: Metadata is an increasingly central tool in the current web environment, enabling large-scale, distributed management of resources. Recent years has seen a growth in interaction between previously ...
38 citations
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28 Nov 2006
TL;DR: In this article, a metabase formed from metadata can be used for various data management operations, such as enhanced data management, enhanced data identification, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data.
Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.
38 citations
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TL;DR: The replication and distribution mechanisms the authors have designed and implemented into the AMGA Metadata Catalog, which is part of the gLite software stack being developed for the EGEE project, are presented.
Abstract: Catalog Services play a vital role on Data Grids by allowing users and applications to discover and locate the data needed. On large Data Grids, with hundreds of geographically distributed sites, centralized Catalog Services do not provide the required scalability, performance or fault-tolerance. In this article, we start by presenting and discussing the general requirements on Grid Catalogs of applications being developed by the EGEE user community. This provides the motivation for the second part of the article, where we present the replication and distribution mechanisms we have designed and implemented into the AMGA Metadata Catalog, which is part of the gLite software stack being developed for the EGEE project. Implementing these mechanisms in the catalog itself has the advantages of not requiring any special support from the relational database back-end, of being database independent, and of allowing tailoring the mechanisms to the specific requirements and characteristics of Metadata Catalogs.
38 citations
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19 May 2008TL;DR: The main contribution of the work presented in this paper is an overview of metadata and their management in the Taverna workflow system, and distinguishes two classes of metadata: metadata that describe workflow related entities, such as services, workflows and sub- workflows, and metadata that describes workflow executions, also known as workflow provenance.
Abstract: There seems to be a general consensus on the crucial role metadata can play for enhancing the functionalities of scientific workflows systems, e.g., workflow and service discovery, composition and provenance browsing, among others. However, in most cases their management is under-specified, if not left unaddressed at all. A step in this direction, the main contribution of the work presented in this paper is an overview of metadata and their management in the Taverna workflow system. In Taverna, we consider metadata to be a first class citizen in the system, in the sense that we fully cover their life cycle from their creation, through their use and curation until their eventual removal. We present the main steps of this cycle and present the models used for metadata specification. In doing so, we distinguish two classes of metadata: metadata that describe workflow related entities, such as services, workflows and sub- workflows, and metadata that describe workflow executions, also known as workflow provenance.
38 citations
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IBM1
TL;DR: In this article, a method, system and computer program product for managing source annotation metadata is described, which may include maintaining a set of metadata, maintaining data/metadata relationships between individual units of the metadata and individual unit of the source data, and maintaining metadata/metadata relationship between individual unit's metadata.
Abstract: A method, system and computer program product for managing source annotation metadata. The metadata management technique may include maintaining a set of metadata, maintaining data/metadata relationships between individual units of the metadata and individual units of the source data, and maintaining metadata/metadata relationships between individual units of the metadata. The metadata/metadata relationships define two or more intersecting search pathways through the metadata that intersect at one or more metadata units belonging to more than one search domain.
38 citations