An interactive metadata model for structural, descriptive, and referential representation of scholarly output

摘要: The scientific metadata model proposed in this article encompasses both classical descriptive such as those defined the Dublin Core Metadata Element Set (DC) and innovative structural referential properties that go beyond model. Structural capture vocabulary research publications; include not only citations but also data about other types of scholarly output is based on or related to same publication. describes structural, descriptive, (SDR) elements explains underlying assumptions justifications for each major component ScholarWiki, an experimental system developed a proof concept, was built over wiki platform allow user interaction with editing, deleting, adding metadata. By allowing encouraging scholars (both authors users) participate knowledge editing enhancing process, larger community will benefit from more accurate effective information retrieval. ScholarWiki utilizes machine-learning techniques can automatically produce self-enhanced by learning contribute, which add intelligence enhance update publication Wiki pages.