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|Title=SUMMA: A Common API for Linked Data Entity Summaries | |Title=SUMMA: A Common API for Linked Data Entity Summaries | ||
|Year=2015 | |Year=2015 | ||
| − | |Booktitle= | + | |Booktitle=Engineering the Web in the Big Data Era |
| − | |Publisher= | + | |Pages=430-446 |
| + | |Publisher=Springer International Publishing | ||
| + | |Editor=Cimiano, Philipp and Frasincar, Flavius and Houben, Geert-Jan and Schwabe, Daniel | ||
| + | |Volume=9114 | ||
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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. | 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=Paper 92 final.pdf, | |Download=Paper 92 final.pdf, | ||
| + | |Link=http://dx.doi.org/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=Wissensmanagement | ||
Version vom 27. Juni 2015, 12:36 Uhr
SUMMA: A Common API for Linked Data Entity Summaries
SUMMA: A Common API for Linked Data Entity Summaries
Published: 2015
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 Veröffentlichung
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
Semantische Suche, Data Mining, Entitätszusammenfassung