scholarly journals Lifting a Metadata Model to the Semantic Multimedia World

2011 ◽  
Vol 7 (1) ◽  
pp. 199-208 ◽  
Author(s):  
Gaetan Martens ◽  
Ruben Verborgh ◽  
Chris Poppe ◽  
Rik Van De Walle
Keyword(s):  
Metadata Model

Universal Data Warehousing Based on a Meta-Data Modeling Approach

2003 ◽  
Vol 12 (03) ◽  
pp. 325-363 ◽  
Author(s):  
Joseph Fong ◽  
Qing Li ◽  
Shi-Ming Huang
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Object Oriented ◽  
Data Models ◽  
Heterogeneous Databases ◽  
Materialized Views ◽  
Prototype System ◽  
Relational View ◽  
Metadata Model ◽  
Star Schema

Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements based on the integrated schema, catalogued in the metadata, which stores the schema of relational database (RDB) and object-oriented database (OODB). Data materialization between RDB and OODB is achieved by unloading source database into sequential file and reloading into target database, through which an object relational view can be defined so as to allow the users to obtain the same warehouse view in different data models simultaneously. We describe our procedures of building the relational view of star schema by multidimensional SQL query, and the object oriented view of the data warehouse by Online Analytical Processing (OLAP) through method call, derived from the integrated schema. To validate our work, an application prototype system has been developed in a product sales data warehousing domain based on this approach.

scholarly journals Using a Core Scientific Metadata Model in Large-Scale Facilities

2010 ◽  
Vol 5 (1) ◽  
pp. 106-118 ◽  
Author(s):  
Brian Matthews ◽  
Shoaib Sufi ◽  
Damian Flannery ◽  
Laurent Lerusse ◽  
Tom Griffin ◽  
...  
Keyword(s):  
Large Scale ◽  
Materials Science ◽  
Production Quality ◽  
Scientific Study ◽  
Quality Data ◽  
Structural Elements ◽  
Metadata Model ◽  
The Core ◽  
Future Developments ◽  
The Relationship

In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation of scientific study metadata developed within the Science & Technology Facilities Council (STFC) to represent the data generated from scientific facilities. The model has been developed to allow management of and access to the data resources of the facilities in a uniform way, although we believe that the model has wider application, especially in areas of “structural science” such as chemistry, materials science and earth sciences. We give some motivations behind the development of the model, and an overview of its major structural elements, centred on the notion of a scientific study formed by a collection of specific investigations. We give some details of the model, with the description of each investigation associated with a particular experiment on a sample generating data, and the associated data holdings are then mapped to the investigation with the appropriate parameters. We then go on to discuss the instantiation of the metadata model within a production quality data management infrastructure, the Information CATalogue (ICAT), which has been developed within STFC for use in large-scale photon and neutron sources. Finally, we give an overview of the relationship between CSMD, and other initiatives, and give some directions for future developments.    

Introducing the Data Quality Vocabulary (DQV)

Semantic Web ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 81-97
Author(s):  
Riccardo Albertoni ◽  
Antoine Isaac
Keyword(s):  
World Wide Web ◽  
Data Quality ◽  
Working Group ◽  
Best Practice ◽  
World Wide ◽  
Design Principles ◽  
Metadata Model ◽  
The World ◽  
The Web

The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality. DQV was developed by the Data on the Web Best Practice (DWBP) Working Group of the World Wide Web Consortium (W3C) between 2013 and 2017. This paper aims at providing a deeper understanding of DQV. It introduces its key design principles, components, and the main discussion points that have been raised in the process of designing it. The paper compares DQV with previous quality documentation vocabularies and demonstrates the early uptake of DQV by collecting tools, papers, projects that have exploited and extended DQV.

A Metadata-Based Approach for Unstructured Document Management in Organizations

2010 ◽  
pp. 230-252
Author(s):  
Federica Paganelli ◽  
Maria Chiara Pettenati ◽  
Dino Giuli
Keyword(s):  
Relevant Information ◽  
Document Management ◽  
Management Systems ◽  
Markup Language ◽  
Web Based ◽  
Metadata Model ◽  
Information Reuse ◽  
Organizational Information

Effectively managing documents is a strategic requirement for every organization. Available document management systems (DMSs) often lack effective functions for automatic document management. One reason is that relevant information frequently is conveyed by unstructured documents, whose content cannot be easily accessed and processed by applications. This article proposes a metadata model, the DMSML (Document Management and Sharing Markup Language) to enable and to ease unstructured document management by supporting the design of DMSs. We argue that the extensive use of this metadata language will render organizational information explicit, promoting information reuse and interoperability in a more profitable way than what is guaranteed by proprietary DMSs. We also briefly depict the design and deployment phases of a Web-based DMS prototype based on DMSML. Our overall intent is to increase the awareness of what managers should account for when considering the possibility of adopting a DMS.

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