TY - GEN
T1 - Perceptual relational attributes
T2 - 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
AU - Valle Torre, Manuel
AU - Ye, Mengmeng
AU - Lofi, Christoph
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Modelling
KW - Perceptual Attributes
KW - Query-By-Example Navigation
KW - User-Generated Attribute Values
UR - http://www.scopus.com/inward/record.url?scp=85072106773&partnerID=8YFLogxK
U2 - 10.18420/btw2019-11
DO - 10.18420/btw2019-11
M3 - Conference contribution
AN - SCOPUS:85072106773
VL - P-289
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 169
EP - 189
BT - Datenbanksysteme fur Business, Technologie und Web, BTW 2019 and 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme", DBIS 2019
A2 - Grust, Torsten
A2 - Naumann, Felix
A2 - Bohm, Alexander
A2 - Lehner, Wolfgang
A2 - Harder, Theo
A2 - Rahm, Erhard
A2 - Heuer, Andreas
A2 - Klettke, Meike
A2 - Meyer, Holger
PB - Gesellschaft fur Informatik (GI)
Y2 - 4 March 2019 through 8 March 2019
ER -