This form allows you to retrieve Digital Object Identifiers (DOIs) for journal articles, books, and chapters by simply cutting and pasting the reference list into the box below. You may use the form with any reference style, although the tool works most reliably if references are formatted in a standard style such as shown in this example:
CrossRef currently provides three ways for you to locate a DOI.
* If you have bibliographic data for a item and would like to find the DOI, please use the metadata section of this form.
* If you only have an article title and author, please use the article title search section of this form.
* If you have the text of a bibliographic reference, please use our automatic parsing service described at the bottom of this page.
Open Source Discovery Portal Camp
Join the development teams from VuFind and Blacklight at PALINET, November 6, 2008, for day of discussion and sharing. We hope to examine difficult issues in developing discovery systems, such as:
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ILS Connectivity
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Authority Control
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Data Importing
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User Interface Issues
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Federated Search
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Virtual shelf list
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De-dupping
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Usage Recording and Reporting
Implementing or hacking an Open Source discovery system such as VuFind or Blacklight?
Interested in learning more about Lucene/Solr applications?
Join the development teams from VuFind and Blacklight at PALINET, November 6, 2008, for day of discussion and sharing. We hope to examine difficult issues in developing discovery systems, such as:
*
ILS Connectivity
*
Authority Control
*
Data Importing
*
User Interface Issues
*
Federated Search
*
Virtual shelf list
*
De-dupping
*
Usage Recording and Reporting
Principles of categorized search result visualization
We are developing a set of search result visualization principles, based on the premise that consistent, comprehensible visual displays built on meaningful and stable classifications will better support user understanding of search results.
1. Provide overviews of large sets of results (100-1000+)
2. Organize overviews around meaningful categories
3. Clarify and visualize category structure
4. Tightly couple category labels to result list
5. Ensure that the full category information is available
6. Support multiple types of categories and visual presentations
7. Use separate facets for each type of category
8. Arrange text for scanning/skimming
9. Visually encode quantitative attributes on a stable visual structure
The time has come for libraries, too, to negotiate for rights to index full text
By Jonathan Rochkind -- Library Journal, 2/15/2007
The ability to search and receive results in more than one database through a single interface—or metasearch—is something many of our users want. Google Scholar—the search engine of specifically scholarly content—and library metasearch products like Ex Libris's MetaLib, Serials Solution's Central Search, WebFeat, and products based on MuseGlobal used by both academic and public libraries—are all a means of providing this functionality. At the university where I work, without very much local advertising, Google Scholar has become the largest single source of links to our link resolver product, illustrating how hungry users are for metasearch.
DYNAMIC REFERENCE SIFTING: A CASE STUDY IN THE HOMEPAGE DOMAIN
Jonathan Shakes, Marc Langheinrich & Oren Etzioni
Department of Computer Science and Engineering
University of Washington
Seattle, Washington 98195-2350, USA
{jshakes|marclang|etzioni}@cs.washington.edu
(in Proceedings of the Sixth International World Wide Web Conference, pp.189-200, 1997)
SumoBrain is FREE! SumoBrain offers cross-collection searching, portfolios, alerts, and other collaboration tools, as well as bulk PDF download capabilities. Sumobrain caters to intellectual property professionals, attorneys, and users in the corporate world. While SumoBrain was conceived as a subscription service, we have decided to take the radical step of making SumoBrain completely free. As long as we can support its costs without subscription fees, it will remain free indefinitely
BOSS (Build your Own Search Service) is Yahoo!'s open search web services platform. The goal of BOSS is simple: to foster innovation in the search industry. Developers, start-ups, and large Internet companies can use BOSS to build and launch web-scale search products that utilize the entire Yahoo! Search index. BOSS gives you access to Yahoo!'s investments in crawling and indexing, ranking and relevancy algorithms, and powerful infrastructure. By combining your unique assets and ideas with our search technology assets, BOSS is a platform for the next generation of search innovation, serving hundreds of millions of users across the Web.
The eXtensible Text Framework (XTF) is a flexible indexing and query tool that supports searching across collections of heterogeneous data and presents results in a highly configurable manner. The highlights of the XTF system are described in an online brochure
Y. Tan, M. Kan, and D. Lee. JCDL '06: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, page 314--315. New York, NY, USA, ACM, (2006)