منابع مشابه
MetaData for Database Mining
At present, a machine learning application is accomplished by carefully crafting a single table from an often complex, multi-table database. The metadata necessary to create this table is rarely formally recorded, and is sometimes implicit in the structure of the database or the typing of the attributes. We categorize the types of metadata that we have encountered in our work with machine learn...
متن کاملMetadata Extraction using Text Mining
Grid technologies have proven to be very successful in the area of eScience, and healthcare in particular, because they allow to easily combine proven solutions for data querying, integration, and analysis into a secure, scalable framework. In order to integrate the services that implement these solutions into a given Grid architecture, some metadata is required, for example information about t...
متن کاملPreventing eye injuries in quarries
Eye injuries often occur in the workplace in low and middle-income countries, particularly in the construction, agricultural, mining, and manufacturing industries. Even if there are safety regulations in these industries, their enforcement is often unsatisfactory, and owners are not required to provide safety equipment. In 2005, Christian Medical College in Vellore, India, conducted a pilot stu...
متن کاملText Metadata Mining: Exploring its Potential
The importance of metadata in digital libraries underlies the development of schemas such as Dublin Core and frameworks for interoperability such as RDF. Metadata offer important access points for information retrieval. Indeed the need to organize for retrieval has been a key motivating factor in developing the Library of Congress Subject Headings and the Medical Subject Headings (MeSH), two ex...
متن کاملMetadata- and Ontology-Based Semantic Web Mining
The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. The vision of the Semantic Web introduces the next generation of the Web by establishing a layer of machine-understandable data e.g. for software agents, sophisticated search engines and Web services. The success of the Semantic Web crucially depends on the easy creation, integration and...
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ژورنال
عنوان ژورنال: Bulletin of the American Society for Information Science and Technology
سال: 2005
ISSN: 0095-4403
DOI: 10.1002/bult.267