نتایج جستجو برای: displaying controlled vocabularies
تعداد نتایج: 403836 فیلتر نتایج به سال:
The Spatial Information Services Stack Vocabulary Service (SISSVoc) is a Linked Data API for accessing published vocabularies. SISSVoc provides a RESTful interface via a set of URI patterns that are aligned with SKOS. These provide a standard web interface for any vocabulary which uses SKOS classes and properties. The SISSVoc implementation provides web pages for human users, and machine-readab...
The Plant Ontology Consortium (POC) (www.plantontology.org) is a collaborative effort among several plant databases and experts in plant systematics, botany and genomics. A primary goal of the POC is to develop simple yet robust and extensible controlled vocabularies that accurately reflect the biology of plant structures and developmental stages. These provide a network of vocabularies linked ...
Controlled medical vocabularies have become increasingly important in a range of medical informatics applications. However, the extensive size of most vocabularies often makes it diicult for users to gain an understanding of their contents. In previous work, we have investigated the partitioning of a large semantic-network based medical vocabulary into smaller units, for the purpose of easier g...
The National Library of Medicine (NLM) and the Agency for Health Care Policy and Research (AHCPR) are sponsoring a test to determine the extent to which a combination of existing health-related terminologies covers vocabulary needed in health information systems. The test vocabularies are the 30 that are fully or partially represented in the 1996 edition of the Unified Medical Language System (...
Within the archaeology domain, datasets frequently refer to time periods using a variety of textual or numeric formats. Traditionally controlled vocabularies of time periods have used classification notation and the collocation of terms in the printed form to represent and convey tacit information about the relative order of concepts. The emergence of the semantic web entails encoding this know...
The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocabularies and classifications that cover several domains of molecular and cellular biology and are freely available for community use in the annotation of genes, gene products and sequences. Many model organism databases and genome annotation groups use the GO and contribute their annotation sets t...
To ensure robust, reliable, retrievable and sharable metadata, the University of Houston (UH) Libraries initiated a Metadata Upgrade Project in 2013 to systematically audit and refine the quality of the metadata in the University of Houston Digital Library (UHDL). Still in progress, the Metadata Upgrade Project has already produced significant discoverability improvements in the UHDL’s legacy m...
This research was aimed at constructing a thesaurus of the ethnic groups in Mekong River Basin that is compilation controlled vocabularies both Thai and English language, with digital platform enables semantic search linked open data. The method involved four steps: (1) organization knowledge content; (2) construction thesaurus; (3) development platform; (4) evaluation. concepts theories used c...
The domain-specific track uses test collections from the social science domain to test monolingual and cross-language retrieval in structured bibliographic databases. Special attention is given to the existence of controlled vocabularies for content description and their potential usefulness in retrieval. Test collections and topics are provided in German, English and Russian. This year, a new ...
The Kinematic Models for Design Digital Library (KMODDL) exemplifies digital collections in which groups of objects are versions of the same resource and which resources are related to one another taxonomically. Other objects in the collection are supplementary materials that explicitly cite the primary KMODDL resources. To manage the complex relationships among KMODDL objects while maintaining...
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