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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Timely Semantics: A Study of a Stream-based Ranking System for Entity Relationships
Organization Unit
  • Lorenz Fischer
  • Roi Blanco
  • Peter Mika
  • Abraham Bernstein
  • Marcello Arenas
  • Oscar Cocho
  • Elena Simperl
  • Markus Strohmeier
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Event Title The 14th International Semantic Web Conference
Event Type conference
Event Location Bethlehem, PA, USA
Event Start Date October 11 - 2015
Event End Date October 15 - 2015
Series Name Lecture Notes in Computer Science
Place of Publication Heidelberg, Germany
Abstract Text In recent years, search engines have started presenting se- mantically relevant entity information together with document search results. Entity ranking systems are used to compute recommendations for related entities that a user might also be interested to explore. Typically, this is done by ranking relationships between entities in a semantic knowledge graph using signals found in a data source as well as type annotations on the nodes and links of the graph. However, the process of producing these rankings can take a substantial amount of time. As a result, entity ranking systems typically lag behind real-world events and present relevant entities with outdated relationships to the search term or even outdated entities that should be replaced with more recent relations or entities. This paper presents a study using a real-world stream-processing based implementation of an entity ranking system, to understand the effect of data timeliness on entity rankings. We describe the system and the data it processes in detail. Using a longitudinal case-study, we demonstrate (i) that low-latency, large-scale entity relationship ranking is feasible using moderate resources and (ii) that stream-based entity ranking improves the freshness of related entities while maintaining relevance.
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Official URL
Digital Object Identifier 10.1007/978-3-319-25010-6_28
Other Identification Number merlin-id:12212
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