Entity Summary

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

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.

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

Dataset

Evauation data is available for download download