Software

The Keyword Aggregator web service: a tool for managing digital objects' keywords

Commonwealth Scientific and Industrial Research Organisation
Car, Nicholas ; Benn, David ; Cox, Simon ; Yu, Jonathan
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/5a6156e250aec&rft.title=The Keyword Aggregator web service: a tool for managing digital objects' keywords&rft.identifier=https://doi.org/10.4225/08/5a6156e250aec&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The need to tag digital objects in various repositories such as datasets or scientific papers to allow for thematic classification is a well-known problem. In some cases a free tagging approach is used where contributors can add any keywords they desire while in other cases, selection from a controlled vocabulary is mandated. To enable repository managers to allow both free tagging and the use of controlled vocabularies, we have created the Keyword Aggregator (KWA) system, key aspects of which are outlined next. A web service that: provides fast search access to vocabulary content; stores multiple, controlled, vocabularies of terms; permits the addition of new keywords. An example widget that makes use of the web service and can be embedded in a web page. Use of a relational database that captures keyword use statistics. A management methodology that: allows particular vocabularies to be selected for use on a per-widget instance basis; allows vocabulary updating through storage in versioned repositories; stores vocabularies with vocabulary-level metadata enabling vocabulary discovery; permits one vocabulary to link to a single term in another vocabulary (allows a 'vocabulary-of-vocabularies'). The focus of KWA is on the creation of a flexible keyword aggregation, management and search system for science keywords, however vocabularies of any kind could, in principle, be handled by this system. This release allows KWA to be run under Python 2 or 3 and more importantly, adds containerisation support via Docker to simplify deployment. In addition, graph loading scripts were added and various internal improvements and bug fixes were made. See the README.pdf supporting attachment for more detail.&rft.creator=Car, Nicholas &rft.creator=Benn, David &rft.creator=Cox, Simon &rft.creator=Yu, Jonathan &rft.date=2018&rft.edition=v2&rft.relation=http://mssanz.org.au/modsim2015/C8/benn.pdf&rft.relation=https://publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP154376&sb=RECENT&expert=false&n=3&rpp=25&page=1&tr=70&q=Vocabulary&dr=all&rft_rights=CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence) https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2018.&rft_subject=keyword&rft_subject=aggregation&rft_subject=vocabulary&rft_subject=semantic web&rft_subject=RDF&rft_subject=SKOS&rft_subject=OWL&rft_subject=triple store&rft_subject=web service&rft_subject=Information retrieval and web search&rft_subject=Data management and data science&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Information systems not elsewhere classified&rft_subject=Information systems&rft_subject=Computational logic and formal languages&rft_subject=Theory of computation&rft_subject=Other information and computing sciences not elsewhere classified&rft_subject=Other information and computing sciences&rft.type=Computer Program&rft.language=English Access the software
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CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)
https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/

Data is accessible online and may be reused in accordance with licence conditions

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Brief description

The need to tag digital objects in various repositories such as datasets or scientific papers to allow for thematic classification is a well-known problem. In some cases a free tagging approach is used where contributors can add any keywords they desire while in other cases, selection from a controlled vocabulary is mandated. To enable repository managers to allow both free tagging and the use of controlled vocabularies, we have created the Keyword Aggregator (KWA) system, key aspects of which are outlined next. A web service that: provides fast search access to vocabulary content; stores multiple, controlled, vocabularies of terms; permits the addition of new keywords. An example widget that makes use of the web service and can be embedded in a web page. Use of a relational database that captures keyword use statistics. A management methodology that: allows particular vocabularies to be selected for use on a per-widget instance basis; allows vocabulary updating through storage in versioned repositories; stores vocabularies with vocabulary-level metadata enabling vocabulary discovery; permits one vocabulary to link to a single term in another vocabulary (allows a 'vocabulary-of-vocabularies'). The focus of KWA is on the creation of a flexible keyword aggregation, management and search system for science keywords, however vocabularies of any kind could, in principle, be handled by this system. This release allows KWA to be run under Python 2 or 3 and more importantly, adds containerisation support via Docker to simplify deployment. In addition, graph loading scripts were added and various internal improvements and bug fixes were made. See the README.pdf supporting attachment for more detail.

Available: 2018-01-19

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Related Publications

  • Associated with Benn, D., Car, N.J., Yu, J. and Cox, S.J.D. (2015). The Keyword Aggregator web service: a tool and methodology for managing digital objects’ keywords. In Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2015, pp. 490–496. ISBN: 978-0-9872143-5-5. www.mssanz.org.au/modsim2015/C8/benn.pdf
    uri : mssanz.org.au/modsim2015/C8/benn.pdf

    Walmsley, B.J., Oddy, V.H., Gudex, B.W., Mayer, D.G. and McPhee, M.J. (2015). Transformation of the BeefSpecs fat calculator: Addressing eating quality and production efficiency with on-farm decision making. In Weber, T., McPhee, M.J. and Anderssen, R.S. (eds) MODSIM2015, 21st International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2015, pp. 490–496. ISBN: 978-0-9872143-5-5. www.mssanz.org.au/modsim2015/B4/walmsley.pdf

  • Associated with Car, Nick; Cox, Simon; Frazier, Jane; Benn, David; Yu, Jonathan (2015), A "vocabulary of vocabularies" with tools for users, eResearch Australasia 2015, Brisbane, 19 - 23 October, 2015, 3 p.
    uri : publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP154376&sb=RECENT&expert=false&n=3&rpp=25&page=1&tr=70&q=Vocabulary&dr=all

    Car, Nick; Cox, Simon; Frazier, Jane; Benn, David; Yu, Jonathan (2015), A "vocabulary of vocabularies" with tools for users, eResearch Australasia 2015, Brisbane, 19 - 23 October, 2015, 3 p.

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Subjects
Computational Logic and Formal Languages | Data Management and Data Science | Information and Computing Sciences | Information Retrieval and Web Search | Information Systems | Information Systems Not Elsewhere Classified | OWL | Other Information and Computing Sciences | Other Information and Computing Sciences Not Elsewhere Classified | RDF | SKOS | Theory of Computation | aggregation | keyword | semantic web | triple store | vocabulary | web service |

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