Scholar metadata and knowledge generation with human and artificial intelligence
نویسندگان
چکیده
Scholar metadata has traditionally centered on descriptive representation, which has been used as a foundation for scholarly publication repositories and academic information retrieval systems. In this paper we propose innovative and economic methods of generating knowledge-‐based structural metadata (Structural Keywords) using a combination of NLP-‐based machine learning techniques and human BLOCKIN BLOCKIN intelligence.
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ورودعنوان ژورنال:
- JASIST
دوره 65 شماره
صفحات -
تاریخ انتشار 2014