BASE (search engine)

BASE (Bielefeld Academic Search Engine) is a multi-disciplinary search engine to scholarly internet resources, created by Bielefeld University Library in Bielefeld, Germany. It is based on free and open-source software such as Apache Solr and VuFind.[1] It harvests OAI metadata from institutional repositories and other academic digital libraries that implement the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), and then normalizes and indexes the data for searching. In addition to OAI metadata, the library indexes selected web sites and local data collections, all of which can be searched via a single search interface.

Users can search bibliographic metadata including abstracts, if available. However, BASE does not currently offer full text search. It contrasts with commercial search engines in multiple ways, including in the types and kinds of resources it searches and the information it offers about the results it finds. Results can be narrowed down using drill down menus (faceted search). Bibliographic data is provided in several formats, and the results may be sorted by multiple fields, such as by author or year of publication.

Paying customers include EBSCO Information Services who integrated BASE into their EBSCO Discovery Service (EDS).[2] Non-commercial services can integrate BASE search for free using an API. BASE becomes an increasingly important component of open access initiatives concerned with enhancing the visibility of their digital archive collections.[3]

On 6 October 2016, BASE surpassed the 100 million documents threshold having indexed 100,183,705 documents from 4,695 content sources.

BASE (Bielefeld Academic Search Engine)
Type of site
Academic Internet search engine
Available inChinese (simplified), German, English, French, Spanish (Castilian), Polish, Greek, Ukrainian
Area servedWorldwide
OwnerBielefeld University Library
LaunchedJune 24, 2004
Current statusActive

See also


  1. ^ Pieper, Dirk (May 18, 2011). "BASE Migration". InetBib. Retrieved August 27, 2013.
  2. ^ Price, Gary (December 7, 2015). "Content from Bielefeld University's BASE Database Now Searchable in EBSCO Discovery Service". Library Journal INFOdocket. Retrieved July 10, 2017.
  3. ^ Lochman, Martin (March 23, 2017). "Open Archives Initiative service providers: Enhancing the visibility of research in Malta". Retrieved April 13, 2017.


  • Lossau, Norbert. 2004. "Search Engine Technology and Digital Libraries: Libraries Need to Discover the Academic Internet," D-Lib Magazine, Volume 10, Number 6, June 2004. doi:10.1045/june2004-lossau
  • Summann, Friedrich and Norbert Lossau. 2004. "Search Engine Technology and Digital Libraries: Moving from Theory to Practice," D-Lib Magazine, Volume 10, Number 9, September 2004. doi:10.1045/september2004-lossau

External links

COnnecting REpositories

CORE (COnnecting REpositories) is a service provided by the Knowledge Media Institute, based at The Open University, United Kingdom. The goal of the project is to aggregate all open access content distributed across different systems, such as repositories and open access journals, enrich this content using text mining and data mining, and provide free access to it through a set of services. The CORE project also aims to promote open access to scholarly outputs. It fully supports the taxpayer's entitlement to the research they have funded and facilitates the wide dissemination of the open access content. CORE works closely with digital libraries and institutional repositories.

Based on the open access fundamental principles, as they were described in the Budapest Open Access Initiative, the open access content not only must be openly available to download and read, but it must also allow its reuse, both by humans and machines. As a result, there was a need to exploit the content reuse, which could be made possible with the implementation of a technical infrastructure. Thus the CORE project started with the goal of connecting metadata and full-text outputs offering, via the content aggregation, value-added services, and opening new opportunities in the research process.

Currently there are existing commercial academic search systems, such as Google Scholar, which provide search and access level services, but do not support programmable machine access to the content, for example with the use of an API or data dumps. This limits the further reuse of the open access content, for example, with regards to text and data mining. Taking into consideration that there are three access levels to content: 1. access at the granularity of papers, 2. analytical access and granularity of collections and 3. programmable machine access to data the programmable machine access is the main feature that distinguishes CORE from Google Scholar and Microsoft Academic Search.

List of search engines

This is a list of search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases. For a list of search engine software, see List of enterprise search vendors.

Projects +

This page is based on a Wikipedia article written by authors (here).
Text is available under the CC BY-SA 3.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.