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{{Inproceedings
 
{{Inproceedings
|Referiert=False
+
|Referiert=True
 
|Title=SUMMA: A Common API for Linked Data Entity Summaries
 
|Title=SUMMA: A Common API for Linked Data Entity Summaries
 
|Year=2015
 
|Year=2015
 +
|Month=Juni
 
|Booktitle=Engineering the Web in the Big Data Era
 
|Booktitle=Engineering the Web in the Big Data Era
 
|Pages=430-446
 
|Pages=430-446
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|Editor=Cimiano, Philipp and Frasincar, Flavius and Houben, Geert-Jan and Schwabe, Daniel
 
|Editor=Cimiano, Philipp and Frasincar, Flavius and Houben, Geert-Jan and Schwabe, Daniel
 
|Volume=9114
 
|Volume=9114
 +
|Note=Best Research Paper Nominee
 
}}
 
}}
 
{{Publikation Tool
 
{{Publikation Tool
 
|Tool=Summarum
 
|Tool=Summarum
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{{Publikation Dataset
 
|Dataset=DBpedia PageRank
 
 
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{{Publikation Details
 
{{Publikation Details
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|DOI Name=10.1007/978-3-319-19890-3_28
 
|DOI Name=10.1007/978-3-319-19890-3_28
 
|Projekt=SumOn, XLiMe
 
|Projekt=SumOn, XLiMe
|Forschungsgruppe=Wissensmanagement
+
|Forschungsgruppe=Web Science und Wissensmanagement
 
}}
 
}}
 
{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl

Aktuelle Version vom 22. Juni 2016, 10:37 Uhr


SUMMA: A Common API for Linked Data Entity Summaries


SUMMA: A Common API for Linked Data Entity Summaries



Published: 2015 Juni
Herausgeber: Cimiano, Philipp and Frasincar, Flavius and Houben, Geert-Jan and Schwabe, Daniel
Buchtitel: Engineering the Web in the Big Data Era
Ausgabe: 9114
Seiten: 430-446
Verlag: Springer International Publishing

Referierte VeröffentlichungNote: Best Research Paper Nominee

BibTeX


Kurzfassung
Linked Data knowledge sources such as DBpedia, Freebase, and Wikidata currently offer large amounts of factual data. As the amount of information that can be grasped by users is limited, data summaries are needed. If a summary relates to a specific entity we refer to it as entity summarization. Unfortunately, in many settings, the summaries of entities are tightly bound to user interfaces. This practice poses problems for efficient and objective comparison and evaluation.

In this paper we focus on the question of how to make summaries exchangeable between multiple interfaces and multiple summarization services in order to facilitate evaluation and testing. We introduce SUMMA, an API definition that enables to decouple generation and presentation of summaries. It enables multiple consumers to retrieve summaries from multiple providers in a unified and lightweight way.

ISBN: 978-3-319-19889-7
Download: Media:Paper 92 final.pdf
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-19890-3_28

Projekt

SumOnXLiMe


Verknüpfte Tools

LinkSUM


Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet

Semantische Suche, Data Mining, Entitätszusammenfassung