Difference between revisions of "Entity Summary"

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== Evaluation ==
 
== Evaluation ==
 +
 +
{| class="wikitable"
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! System
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! style="font-style: italic;" | k = 5
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! FACES % ↑
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! style="font-style: italic;" | k = 10
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! FACES % ↑
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! time/entity in seconds
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|-
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| FACES
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| 1.4314
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| NA
 +
| 4.3350
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| NA
 +
| 0.76 sec.
 +
|-
 +
| RELIN
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| 0.4981
 +
| 187 %
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| 2.5188
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| 72 %
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| 10.96 sec.
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|-
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| RELINM
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| 0.6008
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| 138 %
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| 3.0906
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| 40 %
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| 11.08 sec.
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|-
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| SUMMARUM
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| 1.2249
 +
| 17 %
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| 3.4207
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| 27 %
 +
| NA
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|-
 +
| Ideal summ agreement
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| 1.9168
 +
|
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| 4.6415
 +
|
 +
|
 +
|+ align="bottom" style="caption-side: bottom" Table 1. Evaluating the quality of summaries under each setting, % quality improvement (↑) using FACES compared to others for k=5 and k=10, respectively and average time taken per entity.
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 +
|}
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 +
 
=== Dataset ===
 
=== Dataset ===
 
Evauation data is available for download [http://knoesis.wright.edu/researchers/kalpa/faces_evaluation.zip download]
 
Evauation data is available for download [http://knoesis.wright.edu/researchers/kalpa/faces_evaluation.zip download]

Revision as of 21:37, 13 May 2014

Creating Faceted (divesified) Entity Summaries

Creating entity summaries has been of contemporary interest in the Semantic Web community in the recet past. In our approach called FACES: FACed Entity Summaries, we are interested in generating diversified and user friendly summaries.


Evaluation

System k = 5 FACES % ↑ k = 10 FACES % ↑ time/entity in seconds
FACES 1.4314 NA 4.3350 NA 0.76 sec.
RELIN 0.4981 187 % 2.5188 72 % 10.96 sec.
RELINM 0.6008 138 % 3.0906 40 % 11.08 sec.
SUMMARUM 1.2249 17 % 3.4207 27 % NA
Ideal summ agreement 1.9168 4.6415
align="bottom" style="caption-side: bottom" Table 1. Evaluating the quality of summaries under each setting, % quality improvement (↑) using FACES compared to others for k=5 and k=10, respectively and average time taken per entity.


Dataset

Evauation data is available for download download