STM publisher Elsevier, Netherlands, has collaborated with Tsinghua University Department of Computer Science and Technology in Beijing to introduce four new research productivity enhancing applications for SciVerse Applications.
The applications – GeneTUKit, Company Search, Patent Search and Topic Cloud – seek to help researchers identify the hottest topics being published, find relevant companies, patents or experts, and automatically discover genes within articles.
GeneTUKit recognises gene mentions in article and abstract content within SciVerse ScienceDirect or SciVerse Scopus and links the concepts to knowledge databases like NCBI. Company Search identifies companies relevant to a SciVerse ScienceDirect search query and links to profile information on PatentMiner. Patent Search finds patents related to a SciVerse Hub or SciVerse ScienceDirect search query, ranks results based on relevance and links to patents on PatentMiner. Topic Cloud displays top subtopics related to a SciVerse ScienceDirect query as a word cloud.
Elsevier began collaborating in late 2010 with Associate Professor Jie Tang at the Department of Computer Science and Technology at Tsinghua University to develop Expert Search, an application that identifies computer science experts through Arnetminer, followed by the development of the Company Search, Patent Search and Topic Cloud applications. Elsevier partnered with Assistant Professor Minlie Huang to create the GeneTUKit application.
The ongoing collaboration has also led to the launch of the China Science Challenge, an online competition open to university students to develop solutions that help researchers in their research tasks.
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