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Automatic Facet Generation and Selection over Knowledge Graphs

Feddoul, Leila and Schindler, Sirko and Löffler, Frank (2019) Automatic Facet Generation and Selection over Knowledge Graphs. In: Lecture Notes in Computer Science, pp. 310-325. Springer. SEMANTiCS 2019, 09.-12. Sep. 2019, Karlsruhe, Germany. DOI: 10.1007/978-3-030-33220-4_23 ISBN 978-3-030-33219-8

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-33220-4_23

Abstract

With the continuous growth of the Linked Data Cloud, adequate methods to efficiently explore semantic data are increasingly required. Faceted browsing is an established technique for exploratory search. Users are given an overview of a collection's attributes that can be used to progressively refine their filter criteria and delve into the data. However, manual facet predefinition is often inappropriate for at least three reasons: Firstly, heterogeneous and large scale knowledge graphs offer a huge number of possible facets. Choosing among them may be virtually impossible without algorithmic support. Secondly, knowledge graphs are often constantly changing, hence, predefinitions need to be redone or adapted. Finally, facets are generally applied to only a subset of resources (e.g., search query results). Thus, they have to match this subset and not the knowledge graph as a whole. Precomputing facets for each possible subset is impractical except for very small graphs. We present our approach for automatic facet generation and selection over knowledge graphs. We propose methods for (1) candidate facet generation and (2) facet ranking, based on metrics that both judge a facet in isolation as well as in relation to others. We integrate those methods in an overall system workflow that also explores indirect facets, before we present the results of an initial evaluation.

Item URL in elib:https://elib.dlr.de/127980/
Document Type:Conference or Workshop Item (Speech)
Title:Automatic Facet Generation and Selection over Knowledge Graphs
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Feddoul, Leilaleila.feddoul (at) uni-jena.dehttps://orcid.org/0000-0001-8896-8208
Schindler, SirkoSirko.Schindler (at) dlr.dehttps://orcid.org/0000-0002-0964-4457
Löffler, Frankfrank.loeffler (at) uni-jena.dehttps://orcid.org/0000-0001-6643-6323
Date:9 September 2019
Journal or Publication Title:Lecture Notes in Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
DOI :10.1007/978-3-030-33220-4_23
Page Range:pp. 310-325
Publisher:Springer
Series Name:Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings
ISBN:978-3-030-33219-8
Status:Published
Keywords:Faceted Browsing Facet Ranking Knowledge Graph Exploratory Search
Event Title:SEMANTiCS 2019
Event Location:Karlsruhe, Germany
Event Type:international Conference
Event Dates:09.-12. Sep. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Datamangagement and Analysis
Deposited By: Schindler, Sirko
Deposited On:15 Nov 2019 08:14
Last Modified:15 Nov 2019 08:14

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