SKO Types: an entity-based scientific knowledge objects metadata schema
نویسندگان
چکیده
During the past fifty years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative. SKO Types is an entity-oriented theory for representing and linking Scientific Knowledge Objects by defining entities, relationships between entities, and attributes of each entity in the scientific domain. In SKO management, SKO Types serve as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs.
منابع مشابه
Conventions for Knowledge Representation via RDF
The Resource Description Framework [RDF] provides a basic model to describe relationships between objects. Ultimately, it is intended to permit the representation, combination and processing of most types of metadata from Web-accessible documents or databases. However, except for representing simple metadata, its current XML-based syntax [RDF syntax] and the set of basic concept/relation types ...
متن کاملImplementing PREMIS in Container Formats
In May 2005, the PREMIS Working Group released the first version of the Data Dictionary for Preservation Metadata: Final Report, a community consensus based preservation metadata standard. PREMIS XML schemas were also published to support the implementation. Since then, many organizations started implementing PREMIS in their repositories, during which a handful of common implementation issues s...
متن کاملEssential Annotation Schema for Ecology (EASE)—A framework supporting the efficient data annotation and faceted navigation in ecology
Ecology has become a data intensive science over the last decades which often relies on the reuse of data in cross-experimental analyses. However, finding data which qualifies for the reuse in a specific context can be challenging. It requires good quality metadata and annotations as well as efficient search strategies. To date, full text search (often on the metadata only) is the most widely u...
متن کاملشناسایی روابط کتابشناختی در فهرست کتابخانه ملی ایران مبتنی بر الگوی ملزومات کارکردی پیشینههای کتابشناختی (اف آر بی آر): گام نخست در بازنمون شبکه دانش انتشارات ایرانی-اسلامی
The aim of this study is to find out the bibliographic relationships between the metadata records in the National Library and Archives of Iran (NLAI) according to FRBR model, in order to represent the Knowledge network of Iranian-Islamic publications. To achieve this objective, the content analysis method was used. The study population includes metadata records for books in NLAI for four biblio...
متن کاملAn ontology based approach to the integration of entity-relationship schemas
In schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We explicitly declare the context that is the meta information relating to the source, classification, property etc of entities, relationships or attribute values in entity-relationship (ER) schemas. We present algorithms to resolve schematic discrepancies by transforming metadata i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- J. Knowledge Management
دوره 19 شماره
صفحات -
تاریخ انتشار 2015