Perceptual relational attributes

Perceptual relational attributes: Navigating and discovering shared perspectives from user-generated reviews

Valle Torre, M. (TU Delft Web Information Systems)
Ye, Mengmeng (Student TU Delft)
Lofi, C. (TU Delft Web Information Systems)

Grust, Torsten (editor)
Naumann, Felix (editor)
Bohm, Alexander (editor)
Lehner, Wolfgang (editor)
Harder, Theo (editor)
Rahm, Erhard (editor)
Heuer, Andreas (editor)
Klettke, Meike (editor)
Meyer, Holger (editor)

2019

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.

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

http://resolver.tudelft.nl/uuid:fed231a1-38dc-4ba5-89bd-717994022a51

https://doi.org/10.18420/btw2019-11

Gesellschaft fur Informatik (GI)

9783885796831

Datenbanksysteme fur Business, Technologie und Web, BTW 2019 and 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", DBIS 2019, P-289

Datenbanksysteme 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, 2019-03-04 → 2019-03-08, Rostock, Germany

Institutional Repository

conference paper

© 2019 M. Valle Torre, Mengmeng Ye, C. Lofi