Open Source Digital Library Software: Building bridges not islands using Greenstone
This event took place on Wednesday 30 May 2007 at 11:30
Dr David Bainbridge University of Waikato, New Zealand
A prominent digital library researcher recently likened the development of open source digital library software as "more like stepping on the toes of others rather than standing on the shoulders of giants". The remark (said more out of exasperation than anything else) refers to the trend in digital library software development of building standalone systems, of development teams preferring to "roll their own" software solution rather than tap in to other open source DL projects. This is an issue we have been addressing in the Greenstone digital library project over the last few years. Drawing upon protocols such as SRW and OAI, document and metadata standards such as MOD and METS, and other web-based technologies, in this talk I will illustrate various ways Greenstone can be used to build those bridges rather than remain an island.
This event took place on Wednesday 30 May 2007 at 11:30
A prominent digital library researcher recently likened the development of open source digital library software as "more like stepping on the toes of others rather than standing on the shoulders of giants". The remark (said more out of exasperation than anything else) refers to the trend in digital library software development of building standalone systems, of development teams preferring to "roll their own" software solution rather than tap in to other open source DL projects. This is an issue we have been addressing in the Greenstone digital library project over the last few years. Drawing upon protocols such as SRW and OAI, document and metadata standards such as MOD and METS, and other web-based technologies, in this talk I will illustrate various ways Greenstone can be used to build those bridges rather than remain an island.
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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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