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  • B3-2

    Final published version, 2 MB, PDF-document

DOI

Effectively modelling and querying experience items like movies, books, or games in databases is challenging because these items are better described by their resulting user experience or perceived properties than by factual attributes. However, such information is often subjective, disputed, or unclear. Thus, social judgments like comments, reviews, discussions, or ratings have become a ubiquitous component of most Web applications dealing with such items, especially in the e-commerce domain. However, they usually do not play major role in the query process, and are typically just shown to the user. In this paper, we will discuss how to use unstructured user reviews to build a structured semantic representation of database items such that these perceptual attributes are (at least implicitly) represented and usable for navigational queries. Especially, we argue that a central challenge when extracting perceptual attributes from social judgments is respecting the subjectivity of expressed opinions. We claim that no representation consisting of only a single tuple will be sufficient. Instead, such systems should aim at discovering shared perspectives, representing dominant perceptions and opinions, and exploiting those perspectives for query processing.

Original languageEnglish
Title of host publicationDatenbanksysteme fur Business, Technologie und Web, BTW 2019 and 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", DBIS 2019
EditorsTorsten Grust, Felix Naumann, Alexander Bohm, Wolfgang Lehner, Theo Harder, Erhard Rahm, Andreas Heuer, Meike Klettke, Holger Meyer
PublisherGesellschaft fur Informatik (GI)
Pages169-189
Number of pages21
VolumeP-289
ISBN (Electronic)9783885796831
DOIs
Publication statusPublished - 2019
EventDatenbanksysteme fur Business, Technologie und Web, BTW 2019 and 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", DBIS 2019 - Database Systems for Business, Technology and Web, BTW 2019 and 18th Symposium of the GI Department "Databases and Information Systems", DBIS 2019 - Rostock, Germany
Duration: 4 Mar 20198 Mar 2019

Conference

ConferenceDatenbanksysteme fur Business, Technologie und Web, BTW 2019 and 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", DBIS 2019 - Database Systems for Business, Technology and Web, BTW 2019 and 18th Symposium of the GI Department "Databases and Information Systems", DBIS 2019
CountryGermany
CityRostock
Period4/03/198/03/19

    Research areas

  • Modelling, Perceptual Attributes, Query-By-Example Navigation, User-Generated Attribute Values

ID: 66629524