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Web search leader Google Inc. (GOOG.O: Quote, Profile, Research) on Wednesday unveiled Google Scholar, a new search product aimed at helping users search scholarly literature such as technical reports, theses and abstracts.
Google Scholar, at [scholar.google.com,...] searches a specific subset of Google's index and covers a wide swath of fields, from medicine and physics to economics and computer science
Looks like Google is trying to build a niche engine, something like [scirus.com....] For me, Google Scholars it is giving the same set of results as normal Google, is anyone seeing anything different at this new URL?
I'm amazed at how it succeeds at correctly pulling out journal titles and the like within a page. This is remarkable considering how semantically poor ordinary HTML is. (With richer markup, or something like Dublin Core metadata, it would be easy, but apparently ordinary HTML and a good algorithm can take us a long way.) There seems to be consistent minor flaw in thinking address fragments are actually authors' names, but otherwise I give it two big thumbs up! Eugene Garfield should be nervous.
Anyway, great work Google! I can see thousands of university students, scientists and researchers alike jumping for joy with this one :)
Nothing compares to using well known libraries to obtain the proper information.
Google will have to license the archives of the New York Times, Wall Street Journal, Business Week and many other serious publications to deliver a good product for scholars.
As an example, I didn't know the source of evil was already involved in natural language technology long before Google was conceived.
The following document wasn't retrieved by Google. It was obtained via a well-known New York library.
Microsoft increases ownership in NLI
December 3, 1990
BELLEVUE, Wash.-- Microsoft Corp. and Natural Language Inc. (NLI) Monday announced that Microsoft has increased its ownership in and participation with NLI.
Specifically, Microsoft has invested $1 million in the private company, bringing its total ownership to over 10 percent. Microsoft and NLI also announced today that they are actively working to investigate the use of natural language technology in future versions of Microsoft's products.
NLI is the leading vendor of natural language technology. Microsoft has been an investor in Natural Language since June 1987. At that time, the companies signed a product licensing agreement granting Microsoft's rights to integrate NLI technology with Microsoft products. Today's announcement strengthens the commitment between the two companies.
William H. Gates, Microsoft chairman, commented, ``Microsoft's goal is to continue enhancing functionality of its user interfaces to serve a broader group of people. We believe that natural language access is an important component of our vision of providing `information at your fingertips.' We have always recognized NLI as having the best natural language technology.''
Nathan Myhrvold, Microsoft's vice president of advanced technology and business development, added, ``We have spent the last five years establishing graphical user interfaces as the standard computing metaphor. We now intend to extend that metaphor by incorporating new technologies, including natural language.''
Tania Amochaev, NLI president and chief executive officer, commented, ``Microsoft's increased participation is a recognition not only of the importance of natural language access, but also that our technology delivers practical benefits to end-users. Microsoft's systems software provides an ideal platform to deliver the benefits of natural language to a broader base.''
Microsoft Corp. (NASDAQ:MSFT) develops, markets and supports a wide range of software for business and professional use, including operating systems, language and application programs, as well as books, hardware and CD-ROM products for the microcomputer marketplace.
NLI develops and markets database tools, based on proprietary natural language technology, that enables end-users to access relational database management systems in English.
NLI's family of natural language products support all major relational database management systems, including SYBASE, Oracle, Ingres, Informix, and Rdb. They run on all major UNIX computers and VAX/VMS and RISC/ULTRIX computers from Digital Equipment Corp.
NLI currently has more than 100 Fortune 1000 customers in industries including financial and information services, pharmaceutical, manufacturing and telecommunications.
The company distributes its products through a direct sales force. It also offers consulting services to assist in training as well as application prototyping and development.
NLI employs 60 people at its headquarters in Berkeley, Calif., and five regional sales offices.
Founded in 1984, NLI has raised $12.2 million in equity financing, including the investment announced today. Other investors include: Brentwood Associates, Asset Management Associates, Norwest Venture Capital, EG&G Venture Partners, Glenwood Investment Ventures, Bryan & Edwards, and Stanford University.
CONTACT: Natural Language Inc. Amy Romanoff, 415/841-3500
Copyright (c) 1990, Business Wire
For example, I looked for some business 3-letter acronyms e.g. ERP, CRM, and got mainly people's initials or surnames in the top hits.
However, when I tried to use a TLA that is not common in business, e.g. TFA (trans monounsaturated fatty acid), the hits were more relevant.
I am not sure how the engine can give a lower weightage to people's initials, but it would help if this could be done.
(I also sent this feedback to the G-S email address)
It's improved my life considerably, and it's only been out for a few days! I particularly like the way it integrates pdfs from the web into the results along with pdfs from journal archives - something that hasn't been possible in a single search before.
Makes the existing journal search tools look prehistoric.
Mmm, try this link Imaster:
It returns academic papers about PageRank instead of just web urls and suchlike.
Try this link:
It returns what really happened at North Carolina and I am not allowed to get the Introduction to the GIMP because I don't have the subscriptions!
Much of the peer-reviewed material has been made available to Google by publishers, including Nature Publishing Group, the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers, through a pilot cross-publisher search engine called CrossRef Search.
Publishers have arranged for Google robots to scan the full texts of their articles. Users clicking on a hit returned by Google Scholar are directed to the article on the publisher's site, where subscribers can access full text and non-subscribers get an abstract or information on how to buy an article.
Google Scholar has a subversive feature, however. Each hit also links to all the free versions of the article it has found saved on other sites, for example on personal home pages, elsewhere on the Internet.