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DIY-CDR: an ontology-based, Do-It-Yourself component discoverer and recommender

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Abstract

The do-it-yourself (DIY) culture has been continuously articulated since mid-1920s. The DIY spirit gets gradually spread because people realize that DIY activities are a way to confirm their personal creativities, outsource results, and expand their social contacts. We are motivated to design and implement a computing environment to support users to DIY their personalized Internet-of-things (IoT) applications. Before a person starts his DIY processes, it is important for him to find proper components that meet his needs. This article records our recent results concerning how to automatically discover and recommend existing components to users. The controlled fully automated ontology-assisted matching strategy (C-FOAM) is a matching strategy that contains algorithms at three different levels—string, lexical, and conceptual (or graphical). In this paper, we extend C-FOAM and embed it in a component discovery and recommendation module, which is called do-it-yourself component discoverer and recommender (DIY-CDR). DIY-CDR also uses semantic decision tables (SDT) to gather user specific decision rules and set up parameters for C-FOAM.

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Notes

  1. YouTube (http://www.youtube.com) is a website for uploading, publishing, and sharing videos.

  2. Yahoo! Pipes (http://pipes.yahoo.com) is an online application to help users to create web-based applications through its graphical web interface.

  3. OpenChord (http://www.openchord.org) is an open-source kit for interpreting inputs from a regular or electronic guitar to computer commands.

  4. Zoho Creator (http://www.zoho.com) is an online tool to create online database applications.

  5. Scratch (http://scratch.mit.edu/) supports users to create and share stories, games, music, and art.

  6. Arduino (http://www.arduino.cc/) is an open-source electronics prototyping platform, which can receive input from a variety of sensors.

  7. http://www.opengeospatial.org/standards.

  8. http://www.w3.org/TR/rdf-schema/.

  9. http://en.wikipedia.org/wiki/Web_Ontology_Language.

  10. http://www.w3.org/Submission/SWRL/.

  11. For example, \( \left\langle {\gamma_{2} ,YP_{1} , is\, an\, instance\, of, has\, instance\, of, Yahoo pipe} \right\rangle \).

  12. The data are retrieved on Nov. 20, 2010 (http://pipes.yahoo.com/pipes/search?r=module:fetch).

  13. http://www.eclipse.org/.

  14. Concerning the string matching algorithms, we have reused the implementation from the SecondString project [9].

  15. Collibra is a spinoff company from VUB STARLab. Collibra Studio, which is one of its main products, allows the creation of business semantics models that provide unambiguous definitions, identifications, and mappings toward existing data sources.

  16. http://www.w3.org/TR/owl-ref/.

  17. http://jena.sourceforge.net/.

  18. http://www.w3.org/TR/rdf-sparql-query/.

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Acknowledgments

The work has been supported by the EU ITEA-2 Project 2008005 “Do-it-Yourself Smart Experiences”, founded by IWT 459. The project (DIY-SE, http://dyse.org:8080) aims at allowing citizens to obtain highly personalized and social experiences of smart objects at home and in the public areas, by enabling them to easily DIY applications in their smart living environments.

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  1. Semantic Technology and Application Research Laboratory (STARLab), Department of Computer Science, Vrije Universiteit Brussel, Building G-10, 1050, Elsene, Belgium

    Yan Tang & Robert Meersman

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Correspondence to Yan Tang.

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Tang, Y., Meersman, R. DIY-CDR: an ontology-based, Do-It-Yourself component discoverer and recommender. Pers Ubiquit Comput 16, 581–595 (2012). https://doi.org/10.1007/s00779-011-0416-y

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