Semantic Metadata Generation
نویسنده
چکیده
Taxonomy development and maintenance has traditionally been a laborious and on-going challenge, not to mention costly. The most effective approach is to use rules-based categorization, providing enterprises complete control of rules-based descriptors unique to their organization. Since all rules can be defined and managed, error-prone results utilizing “training” algorithms typically found in other approaches are eliminated.
منابع مشابه
Metadata Enrichment for Automatic Data Entry Based on Relational Data Models
The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, ...
متن کاملOntology based Semantic Metadata for Geoscience Data
In Geoscience domain, large amounts of data are accessible, however they vary in formats and are stored at various organizations leading to problems of data discovery, data interoperability and usability. In this paper, we propose a new semantic metadata paradigm based on ontologies and the use of Semantic Web languages. Our suggested data model ontology is used to guide the generation of metad...
متن کاملDetecting Quality Problems in Semantic Metadata without the Presence of a Gold Standard
Detecting quality problems in semantic metadata is crucial for ensuring a high quality semantic web. Current approaches are primarily focused on the algorithms used in semantic metadata generation rather than on the data themselves. They typically require the presence of a gold standard and are not suitable for assessing the quality of semantic metadata. This paper proposes a novel approach, wh...
متن کاملAHP Techniques for Trust Evaluation in Semantic Web
The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...
متن کاملSemantic Web Construction: An Inquiry of Authors' Views on Collaborative Metadata Generation
Increasing the amount and quality of metadata is essential for realizing the Semantic Web. The research reported on in this article addresses this topic by investigating how resource authors might best collaborate with metadata experts to expedite and improve metada-ta production. Resource authors, working as scientists at the National Institute of Environmental Health Sciences (NIEHS), were su...
متن کاملAutomatic and Manual Annotation Using Flexible Schemas for Adaptation on the Semantic Desktop
Adaptive Hypermedia builds upon the annotation and adaptation of content. As manual annotation has proven to be the main bottleneck, all means for supporting it by reusing automatically generated metadata are helpful. In this paper we discuss two issues. The first is the integration of a generic AH authoring environment MOT into a semantic desktop environment. In this setup, the semantic deskto...
متن کامل