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Conceptual views for entity-centric search: turning data into meaningful concepts

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dc.contributor.authorSelke, Joachim
dc.contributor.authorHomoceanu, Silviu
dc.contributor.authorBalke, Wolf-Tilo
dc.contributor.editorHärder, Theo
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorSchöning, Harald
dc.contributor.editorSchwarz, Holger
dc.date.accessioned2019-01-17T10:36:45Z
dc.date.available2019-01-17T10:36:45Z
dc.date.issued2011
dc.description.abstractThe storage, management, and retrieval of entity data has always been among the core applications of database systems. However, since nowadays many people access entity collections over the Web (e.g., when searching for products, people, or events), there is a growing need for integrating unconventional types of data into these systems, most notably entity descriptions in unstructured textual form. Prime examples are product reviews, user ratings, tags, and images. While the storage of this data is well-supported by modern database technology, the means for querying it in semantically meaningful ways remain very limited. Consequently, in entity-centric search suffers from a growing semantic gap between the users' intended queries and the database's schema. In this paper, we introduce the notion of conceptual views, an innovative extension of traditional database views, which aim to uncover those query-relevant concepts that are primarily reflected by unstructured data. We focus on concepts that are vague in nature and cannot be easily extracted by existing technology (e.g., business phone and romantic movie). After discussing different types of concepts and conceptual queries, we present two case studies, which illustrate how meaningful conceptual information can automatically be extracted from existing data, thus enabling the effective handling of vague real-world query concepts.en
dc.identifier.isbn978-3-88579-274-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19587
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-180
dc.titleConceptual views for entity-centric search: turning data into meaningful conceptsen
dc.typeText/Conference Paper
gi.citation.endPage346
gi.citation.publisherPlaceBonn
gi.citation.startPage327
gi.conference.date02.-04.03.2011
gi.conference.locationKaiserslautern
gi.conference.sessiontitleRegular Research Papers

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