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Bridging the gap between search and IR

This article discusses the challenges and opportunities in bridging the gap between search technology and information retrieval (IR) education. Despite the increasing importance of enterprise search in a data-driven world, there are no comprehensive undergraduate courses specifically for IR, nor sufficient awareness of enterprise search management in existing programs. The lack of qualified professionals and accessible resources hinders the advancement of search applications within organizations. The article calls for universities to develop specialized courses and for enterprises to collaborate with academic research, addressing the need for better-trained personnel in the evolving landscape of big data and search technologies.

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Bridging the gap between search and IR

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  1. Bridging the gap between search and IR Martin White Managing Director, Intranet Focus Ltd. martin.white@intranetfocus.com ISKO

  2. In the beginning…… Gerard Salton 1965 John Mashey 1997 Charles Bourne 1963

  3. 75% Enterprise Search and Findability Study 2012 www.findwise.com

  4. 15% Enterprise Search and Findability Study 2012 www.findwise.com

  5. Search is complex

  6. 18 Chapters 900 pages 1800 references

  7. The reality!

  8. Big Data Content Analytics Enterprise Search Mobile Search IT Business Social Search Activity Search Search-based applications Business Intelligence

  9. The search team!

  10. The current situation • There are no 3yr undergraduate courses in information retrieval taught anywhere in the world • There are many universities that have IR research departments and offer MSc and PhD opportunities • Most courses in information science teach IR as a module and in general do not cover enterprise search management. E.g. • Business planning, resourcing and management • Search application specification, selection and implementation • Search tuning on diverse, heterogeneous content • Very difficult to gain access to enterprise test collections

  11. Big Data • However every search application vendor is now positioning themselves to be in the Big Data market • Universities are rushing to provide Data Science courses, initially at Masters level but now at undergraduate level • But Big Data without enterprise search does not work

  12. Information Science is Multidisciplinary Linguistics

  13. An enterprise perspective • No courses available on enterprise search management • No awareness of developments in search technology that could eventually appear in commercial applications or be incorporated into open source applications • Most courses in information science teach IR as a module and in general do not cover enterprise search management. • There are around 100+ books on IR but only one on enterprise search • There are no mechanisms to locate and obtain academic research papers

  14. The implications • Search vendors and search systems integrators cannot find the staff they need to support development and customer support • Open source developers find it difficult to keep up with IR developments • Organisations cannot find the staff they need to create search support teams • HR departments do not have an appreciation of skills, salaries and career development for search specialists • HR agencies also have little idea of ‘search’

  15. Actions • Universities need to develop enterprise search/big data courses at undergraduate level • Enterprises need to make test collections available to the IR community • Enterprises need to be open to working with IR research teams • Publishers and academics should look at how IR research can be made more accessible • There is probably scope for an inter-disciplinary journal on ES • IR and ES conferences should be more accessible to the two communities

  16. The Search Circle

  17. Questions and comments

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