Microsoft, Google and Baidu may be competitors in the business world, but when it comes to open-access academic resources, they’re all working together – thanks to a collaboration created by Seattle’s Allen Institute for Artificial Intelligence.
The Open Academic Search working group, or OAS, was set up to unite a wide spectrum of researchers working on academic search tools.
“It’s a number of connected initiatives, but all centered on how we promote discovery,” said Marie Hagman, OAS product manager as well as product lead for Semantic Scholar at the Allen Institute.
“That work is not where people are differentiating their products,” she said. “It’s just the hard work we all have to do in order to have anything at all.”
This is where the Open Academic Search initiative can facilitate the sharing of metadata, user behavior data and other resources.
“Once you’ve done the basics, there’s no shortage of opportunities for people to innovate,” Hagman said.
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The Allen Institute for Artificial Intelligence is trying to make the advancement of academic search and analysis a collaborative process, rather than a competitive one. Companies already freely distribute some of their tools and let others use them, but it’s still not as open and cooperative as it could be, said Oren Etzioni, chief executive officer of the Seattle-based institute.
“For us it’s a call to action to say, `hey, you’ve got nothing to lose and everything to gain, put some of these building blocks in open source and let’s work on it together and it’s a win-win,'” Etzioni said.
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Some background and links from Gary Price, infoDOCKET Founder and Editor:
At the bottom of this post we’ve included several links to some of our previous posts about Microsoft Academic Search (A Preview of MAS 2.0 is also available) and Semantic Scholar from the Allen Institute for Artificial Intelligence (AI2).
Both of these tools are resources we use often and also discuss in presentations. They’re both quite impressive and are constantly improving. I encourage you to try both of them.
Google Scholar is the open web academic search tool that, like most things Google, is widely known and used but not as much as some might think when looking at referrals to academic material and comparing to Google.com and other country specific versions. You can see one example of this via Harvard’s DASH repository. Google has only made a few public announcements on the Google Scholar blog in the past few years about new and improved features. They did make one about a week ago.
I’ve found Baidu’s Academic Search tool useful but it can be challenging to use. If you can read Chinese you can access it here. Another way to access (there is no native English interface) and have some of the interface in English is to translate the Chinese into English using Google Translate.
A few more of the MANY “academic” search tools that we regularly mention on infoDOCKET.
- BASE (Bielefeld Academic Search Engine) from Bielefeld University in Germany. Numerous advanced features that librarians and all users will find useful and a massive database. As of June 20, 2017 BASE has metadata and links to 112,124,409 documents from 5,593 content sources. Btw, BASE also provides a separate database of the content sources they index (using OAI).
- ScienceOpen. Access to over 31 million open access articles and article records. Recently ScienceOpen launched MyScienceOpen with several visualization tools for academics to view research impact.
- Finally, worthy of your attention are SHARE (from ARL and the Center for Open Science) and topic/discipline specific searchable repositories (powered by COS tech) like SocArXiv and LawArXiv and the useful Digital Commons Network from bepress that searches across many bepress powered repositories.
Also from AI2: