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Ruben Verborgh

Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance

Thomas Steiner, Ruben Verborgh, Joaquim Gabarró Vallés, and Rik Van de Walle

Social networking sites such as Facebook or Twitter let their users create microposts directed to all, or a subset of their contacts. Users can respond to microposts, or in addition to that, also click a Like or ReTweet button to show their appreciation for a certain micropost. Adding semantic meaning in the sense of unambiguous intended ideas to such microposts can, for example, be achieved via Natural Language Processing (NLP) and named entity disambiguation. Therefore, we have implemented a mash-up NLP API, which is based on a combination of several third party NLP APIs in order to retrieve more accurate results in the sense of emergence. In consequence, our API uses third party APIs opaquely in the background to deliver its output. In this paper, we describe how one can keep track of data provenance and credit back the contributions of each single API to the joint result of the combined mash-up API. Therefore, we use the HTTP Vocabulary in RDF and the Provenance Vocabulary. In addition to that, we show how provenance metadata can help understand the way a combined result is formed, and optimize the result formation process.

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Published in 2013 in International Journal of Computer Information Systems and Industrial Management.

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Cite this article easily using its BibTeX entry: 

@article{steiner_ijcisim_2013,
  title = {Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation {APIs} and Tracking Their Data Provenance},
  author = {Steiner, Thomas and Verborgh, Ruben and Gabarr\'o Vall\'es, Joaquim and Van de Walle, Rik},
  journal = {International Journal of Computer Information Systems and Industrial Management},
  year = 2013,
  volume = 5,
  pages = {69--78},
  publisher = {MIR Labs},
  url = {http://www.mirlabs.org/ijcisim/regular_papers_2013/Paper82.pdf},
}

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ACM
Thomas Steiner, Ruben Verborgh, Joaquim Gabarró Vallés, and Rik Van de Walle. 2013. Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance. International Journal of Computer Information Systems and Industrial Management 5, (2013), 69–78.
APA
Steiner, T., Verborgh, R., Gabarró Vallés, J., & Van de Walle, R. (2013). Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance. International Journal of Computer Information Systems and Industrial Management, 5, 69–78.
IEEE
T. Steiner, R. Verborgh, J. Gabarró Vallés, and R. Van de Walle, “Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance,” International Journal of Computer Information Systems and Industrial Management, vol. 5, pp. 69–78, 2013.
LNCS
Steiner, T., Verborgh, R., Gabarró Vallés, J., Van de Walle, R.: Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance. International Journal of Computer Information Systems and Industrial Management. 5, 69–78 (2013).
MLA
Steiner, Thomas, et al. “Adding Meaning to Social Network Microposts via Multiple Named Entity Disambiguation APIs and Tracking Their Data Provenance.” International Journal of Computer Information Systems and Industrial Management, vol. 5, MIR Labs, 2013, pp. 69–78.

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