MINING DEEP KNOWLEDGE FROM SCIENTIFIC NETWORKS✓
AMiner is the 2012 renamed search engine Arnetminer. Originally, Arnetminer started in 2006 as a directory from scientists from the field of computer science, which showed co-authorships in particular, quickly developed into a search engine, which offered a search for publications, conferences, etc.. It was developed by the Knowledge Engineering Group of Tsinghua University in Beijing, China. AMiner can be seen as the first web search service that introduces the profiling concept and displays the entire scientific output of an author that can be searched through collaborative links between authors. Thus, the document is no longer the focus of the scientific search, but rather the personal profiles of the scientists and their scientific activities.
|Developer||Tsinghua University-Knowledge Engineering Group|
|Country of Origin||China|
|2012 - [...]||Tsinghua University-Knowledge Engineering Group|
|Topic||Academic, Scientific or Educational Search engine|
|Robot/Crawler based, algorithmic search
SeEn with analysing, data mining tools
|Used SeEn||AMiner (formerly ArnetMiner)|
|Older Version||Internet Archive / WebCite|
|Ortega, J. L. (2014): »Tsinghua University in China first introduced the concept of the
personal profile, an element that revolves around the entire structure of its
search engine. In addition, it also presented several visualization instruments
and elaborated information that enrich the assessment of authors and
|Wikipedia: »ArnetMiner (AMiner) is designed to search and perform data mining operations against academic publications on the Internet,
using social network analysis to identify connections between researchers, conferences, and publications.
This allows it to provide services such as expert finding, geographic search, trend analysis, reviewer recommendation, association search,
course search, academic performance evaluation, and topic modeling.
ArnetMiner was created as a research project in social influence analysis, social network ranking, and social network extraction.
A number of peer-reviewed papers have been published arising from the development of the system. It has been in operation for more
than three years, and has indexed 130,000,000 researchers and more than 200 million publications.
The research was funded by the Chinese National High-tech R&D Program and the National Science Foundation of China.
ArnetMiner is commonly used in academia to identify relationships between and draw statistical correlations about research and researchers.
It has attracted more than 10 million independent IP accesses from 220 countries and regions. The product has been used in Elsevier's SciVerse
platform, and academic conferences such as SIGKDD, ICDM, PKDD, WSDM.« Source|
|Wikipedia: »It was initiated and created by professor Jie Tang from Tsinghua University, China. It was first launched in March 2006.
The following provide a list of updates in the past years:
March 2006, Version 0.1, Functions include researcher profiling, expert search, conference search, and publication search.
The system was developed in Perl;
August 2006, Version 1.0, The system was re-implemented in Java;
July 2007, Version 2.0, New functions include researcher interest mining, association search, survey paper finding (unavailable now);
April 2008, Version 3.0, New functions include query understanding, new GUI, and search log analysis;
November 2008, Version 4.0, New functions include graph search, topic modeling, NSF/NSFC funding information extraction;
April 2009, Version 5.0, New functions include Profile edition, open API service, Bole search, course search (unavailable now);
December 2009, Version 6.0, New functions include academic performance evaluation, user feedback, conference analysis;
May 2010, Version 7.0, New functions include name disambiguation, paper-reviewer recommendation, ArnetPage creation;
March 2012, Version II, renamed as AMiner, rewrote all the codes and redesign the GUI. New functions include: geographic search, ArnetAPP platform.
June 2014, Version II, renamed as AMiner, rewrote all the codes and redesign the GUI. New functions include: geographic search, ArnetAPP platform.
December 2015, a completely new version got online.
May 2017, professional version got online.
April 2018, New functions include Trend Analysis, a deep learning based Name Disambiguation« Source|
|Wikipedia: »ArnetMiner published several datasets for academic research purpose, including Open Academic Graph, DBLP+citation (a data set augmenting citations into the DBLP data from Digital Bibliography & Library Project), Name Disambiguation, Social Tie Analysis.« Source|
|ArnetMiner is for Academic research social network analysis and mining system Source|
|Ortega, J. L. (2014): »However, the service also contains several anomalies and inconsistencies, such as a deficient search mechanism, a lack of source transparency, and a chaotic and unsuccessful design. These rather serious problems undermine the user’s trust in this tool as a reliable source not only for research evaluation but also for academic information retrieval.« Source|
Features & Functionality
|Wikipedia: »ArnetMiner automatically extracts the researcher profile from the web. It collects and identifies the relevant pages, then uses a unified approach to extract data from the identified documents. It also extracts publications from online digital libraries using heuristic rules. It integrates the extracted researchers’ profiles and the extracted publications. It employs the researcher name as the identifier. A probabilistic framework has been proposed to deal with the name ambiguity problem in the integration. The integrated data is stored into a researcher network knowledge base (RNKB).« Source|
|Example results page for "sand": Source|
References & further Publications
|Wikipedia (EN): https://en.wikipedia.org/wiki/Arnetminer|
|Wikipedia (Others): n.a.|
|Ortega, J. L. (2014): AMiner: science networking as an information source URL: https://dx.doi.org/10.1016/B978-1-84334-791-0.50010-X|
|Arnetminer: search and mining of academic social networks URL: http://web.archive.org/web/20120305202047/https://aminer.org/introduction|
|Arnetminer Introduction URL: http://web.archive.org/web/20181229171619/https://aminer.org/introduction|