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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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Proceedings ArticleDOI
06 Aug 2001
TL;DR: An application of the LOM is described to the construction of a database of resources available to public schools in Hawaii and issues encountered are reported, focusing on structural issues such as dependencies between elements.
Abstract: The Learning Object Metadata (LOM) is an emerging standard for organizing descriptions of digital or nondigital entities used to support learning. The descriptions include educational, legal, and technical characteristics of these resources. The article describes an application of the LOM to the construction of a database of resources available to public schools in Hawaii and reports on issues encountered, focusing on structural issues such as dependencies between elements. The paper illustrates why the development of metadata formats cannot be divorced from an understanding of educational context.

20 citations

11 Nov 1999
TL;DR: It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools producing metadata.
Abstract: Metadata has been identified as a key success factor in data warehouse projects. It captures all kinds of information necessary to extract, transform and load data from source systems into the data warehouse, and afterwards to use and interpret the data warehouse contents. This paper gives an overview about the role metadata plays for data warehousing and reviews existing standards, commercial solutions and research actions relevant to metadata management. It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools producing metadata. The divergence of proposed standards will probably prevent a breakthrough within the near future.

20 citations

Proceedings ArticleDOI
19 Mar 1999
TL;DR: A Web based software tool is developed that will allow specialists with the requisite domain knowledge to populate the ontology independently and handles all the logistical issues of storage, maintenance and distribution.
Abstract: The objective of the Poseidon Coastal Zone Management System project is to develop a distributed data and software architecture to locate, retrieve, utilize, and visualize information about the coastal ocean environment. The article focuses on the issues related to efficiently identifying and creating the data needed for a given task. Since scientific data sets often do not contain information about the environment in which the data was obtained, we need a method of distinguishing data based on external information, or metadata. This metadata needs to be standardized in order to facilitate searching. While many metadata standards exist, none of them are adequate for representing all the information needed for coastal zone management. We have therefore implemented existing metadata standards in an expandable object oriented structure known as the Warwick Framework. Furthermore, since metadata is expensive and tedious to produce, we have developed a Web based software tool that simplifies the process and reduces the storage of redundant information. While we can search the metadata for the information we need, we still need a common vocabulary, or ontology, to ensure that we can identify data unambiguously. Since no existing vocabulary encapsulates all aspects of the ocean sciences and ocean systems management, we have facilitated the production of such a resource by creating a Web based tool that will allow specialists with the requisite domain knowledge to populate the ontology independently. The tool handles all the logistical issues of storage, maintenance and distribution.

20 citations

Book ChapterDOI
17 Sep 2017
TL;DR: This work conducts an experimental study on an SCM-KG that merges scientific research metadata from the DBLP bibliographic source and the Microsoft Academic Graph, and demonstrates the benefits of exploiting semantic web technology to reconcile data about authors, papers, and conferences.
Abstract: Important questions about the scientific community, e.g., what authors are the experts in a certain field, or are actively engaged in international collaborations, can be answered using publicly available datasets. However, data required to answer such questions is often scattered over multiple isolated datasets. Recently, the Knowledge Graph (KG) concept has been identified as a means for interweaving heterogeneous datasets and enhancing answer completeness and soundness. We present a pipeline for creating high quality knowledge graphs that comprise data collected from multiple isolated structured datasets. As proof of concept, we illustrate the different steps in the construction of a knowledge graph in the domain of scholarly communication metadata (SCM-KG). Particularly, we demonstrate the benefits of exploiting semantic web technology to reconcile data about authors, papers, and conferences. We conducted an experimental study on an SCM-KG that merges scientific research metadata from the DBLP bibliographic source and the Microsoft Academic Graph. The observed results provide evidence that queries are processed more effectively on top of the SCM-KG than over the isolated datasets, while execution time is not negatively affected.

20 citations

Journal ArticleDOI
TL;DR: The needs for orthogonal descriptive dimensions are explained, and a method for achieving maximally efficient, independent dimensions using semantic structures realized in structured metadata is presented.
Abstract: SUMMARY This paper presents the concepts of a metadata space as it relates to cataloging and discovery. A space has multiple dimensions; in the case of resource metadata, these are descriptive dimensions. We explain the needs for orthogonal descriptive dimensions, and present a method for achieving maximally efficient, independent dimensions using semantic structures realized in structured metadata. A specific example of this system as developed in the IEEELearning Technology Standards Committee (LTSC P1484) Learning Object Metadata (LOM) is presented. The LOMis the collaborative work of many organizations including ADL, AJCC, ARIADNE, GESTALT, and IMS(see acronym list at the end of the article, following references). The scope of the concepts presented in this paper encompasses general concepts of metadata systems.

20 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202261
20212
20202
20196
20188