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dc.contributor.authorSteiner, Thomas
dc.contributor.authorVerborgh, Ruben
dc.contributor.authorGabarró Vallès, Joaquim
dc.contributor.authorVan de Walle, Rik
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.identifier.citationSteiner, T. [et al.]. Adding meaning to Facebook microposts via a mash-up API and tracking its data provenance. A: Next Generation Web Services Practices. "2011 7th International Conference on Next Generation Web Services Practices (NWeSP)". Salamanca: IEEE Computer Society Publications, 2011, p. 342-345.
dc.description.abstractThe social networking website Facebook offers to its users a feature called “status updates” (or just “status”), which allows users to create microposts directed to all their contacts, or a subset thereof. Readers can respond to microposts, or in addition to that also click a “Like” 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). Therefore, we have implemented a RESTful 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 in order to deliver its output. In this paper, we describe how one can keep track of provenance, and credit back the contributions of each single API to the combined result of all APIs. In addition to that, we show how the existence of provenance metadata can help understand the way a combined result is formed, and optimize the result combination process. Therefore, we use the HTTP Vocabulary in RDF and the Provenance Vocabulary. The main contribution of our work is a description of how provenance metadata can be automatically added to the output of mash-up APIs like the one presented here.
dc.format.extent4 p.
dc.publisherIEEE Computer Society Publications
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshData mining
dc.titleAdding meaning to Facebook microposts via a mash-up API and tracking its data provenance
dc.typeConference lecture
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.subject.inspecClassificació INSPEC::Cybernetics::Artificial intelligence::Knowledge engineering::Knowledge acquisition::Data mining
dc.rights.accessOpen Access
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorSteiner, T.; Verborgh, R.; Gabarro, J.; Van de Walle, R.
upcommons.citation.contributorNext Generation Web Services Practices
upcommons.citation.publicationName2011 7th International Conference on Next Generation Web Services Practices (NWeSP)
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Llevat que s'hi indiqui el contrari, els continguts d'aquesta obra estan subjectes a la llicència de Creative Commons: Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya