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Domain-Specific Semantic Search Applications: Example SoftwareFinder

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Semantic Applications

Abstract

Domain-specific semantic search applications extend traditional full-text search by semantic application logic, supporting a specific use case. This article describes SoftwareFinder, a semantic search application for software components. Features are semantic faceted search, semantic auto-suggest, and similar product recommendations. Software architecture rationales, as well as a methodology for ontology development are presented.

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References

  1. Deuschel T, Greppmeier C, Humm BG, Stille W (2014) Semantically faceted navigation with topic pies. ACM Press, Leipzig

    Book  Google Scholar 

  2. Hopkins J (2000) Component primer. Commun ACM 43(10):27–30

    Article  Google Scholar 

  3. Humm BG, Ossanloo H (2016) A semantic search engine for software components. IADIS Press, Mannheim, pp 127–135

    Google Scholar 

  4. Humm BG, Ossanloo H (2017) Cost-effective semi-automatic ontology development from large domain terminology. In: Proceedings of the collaborative European research conference (CERC 2017), Karlsruhe

    Google Scholar 

  5. Larson SC (1931) The shrinkage of the coefficient of multiple correlation. J Educ Psychol 22:45

    Article  Google Scholar 

  6. Russell SJ, Norvig P (2009) Artificial intelligence: a modern approach, 3rd edn. Pearson Education, Upper Saddle River

    MATH  Google Scholar 

  7. Schwartz AS, Hearst MA (2003) A simple algorithm for identifying abbreviation definitions in biomedical text. Pac Symp Biocomput 2003:451–462

    MATH  Google Scholar 

  8. Sirisha J, Subbarao B, Kavitha D (2015) A Cram on semantic web components. Int J Adv Res Comput Sci 6(3):62–67. 6 p

    Google Scholar 

  9. Spinellis D, Raptis K (2000) Component mining: a process and its pattern language. Inf Softw Technol 42(9):609–617

    Article  Google Scholar 

  10. Winkler WE (1999) The state of record linkage and current research problems. US Census Bureau, Washington, DC

    Google Scholar 

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Correspondence to Bernhard G. Humm .

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Humm, B.G., Ossanloo, H. (2018). Domain-Specific Semantic Search Applications: Example SoftwareFinder. In: Hoppe, T., Humm, B., Reibold, A. (eds) Semantic Applications. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55433-3_17

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  • DOI: https://doi.org/10.1007/978-3-662-55433-3_17

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-55432-6

  • Online ISBN: 978-3-662-55433-3

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