Difference between revisions of "Entity Summary"

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|+ align="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.
 
|+ align="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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{| class="wikitable"
 +
! System
 +
! style="font-style: italic;" | k = 5
 +
! FACES %↑
 +
! style="font-style: italic;" | k = 10
 +
! FACES %↑
 +
|-
 +
| FACES
 +
| 1.8649
 +
| NA
 +
| 5.6931
 +
| NA
 +
|-
 +
| RELIN
 +
| 0.7339
 +
| 154 %
 +
| 3.3993
 +
| 69 %
 +
|-
 +
| RELINM
 +
| 0.8695
 +
| 114 %
 +
| 4.1551
 +
| 37 %
 +
|-
 +
| SUMMARUM
 +
| 1.6484
 +
| 13 %
 +
| 4.4919
 +
| 27 %
 +
|-
 +
| Ideal summ agreement
 +
| 2.3194
 +
|
 +
| 5.6228
 +
|
 +
|+ align="bottom" | Table 2. Evaluating the quality of correct concepts picked using property overlap under each setting, % quality improvement (↑) using FACES compared to others for k=5 and k=10, respectively.
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|}
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{| class="wikitable"
 +
! Experiment
 +
! FACES %
 +
! RELINM %
 +
! SUMMARUM %
 +
|-
 +
| Experiment 1
 +
| 84 %
 +
| 16 %
 +
| NA
 +
|-
 +
| Experiment 2
 +
| 54 %
 +
| 16 %
 +
| 30 %
 +
|+ align="bottom" | Table 3. Evaluating user preferences for entity summaries using 69 user participants.
 
|}
 
|}
  

Revision as of 18:07, 14 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
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.


System k = 5 FACES %↑ k = 10 FACES %↑
FACES 1.8649 NA 5.6931 NA
RELIN 0.7339 154 % 3.3993 69 %
RELINM 0.8695 114 % 4.1551 37 %
SUMMARUM 1.6484 13 % 4.4919 27 %
Ideal summ agreement 2.3194 5.6228
Table 2. Evaluating the quality of correct concepts picked using property overlap under each setting, % quality improvement (↑) using FACES compared to others for k=5 and k=10, respectively.


Experiment FACES % RELINM % SUMMARUM %
Experiment 1 84 % 16 % NA
Experiment 2 54 % 16 % 30 %
Table 3. Evaluating user preferences for entity summaries using 69 user participants.


Dataset

Evauation data is available for download download

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