21 citations · 87 across the 21 of their papers we have counts for
6 papers · 1 filter
DeepLENS: Deep Learning for Entity Summarization
Qingxia Liu, Gong Cheng, Yuzhong Qu
Entity summarization has been a prominent task over knowledge graphs. While existing methods are mainly unsupervised, we present DeepLENS, a simple yet effective deep learning mode…
ESBM: An Entity Summarization BenchMark
Qingxia Liu, Gong Cheng, Kalpa Gunaratna +1
Entity summarization is the problem of computing an optimal compact summary for an entity by selecting a size-constrained subset of triples from RDF data. Entity summarization supp…
Entity Summarization: State of the Art and Future Challenges
Qingxia Liu, Gong Cheng, Kalpa Gunaratna +1
The increasing availability of semantic data has substantially enhanced Web applications. Semantic data such as RDF data is commonly represented as entity-property-value triples. T…
Towards More Usable Dataset Search: From Query Characterization to Snippet Generation
Jinchi Chen, Xiaxia Wang, Gong Cheng +2
Reusing published datasets on the Web is of great interest to researchers and developers. Their data needs may be met by submitting queries to a dataset search engine to retrieve r…
A Framework for Evaluating Snippet Generation for Dataset Search
Xiaxia Wang, Jinchi Chen, Shuxin Li +4
Reusing existing datasets is of considerable significance to researchers and developers. Dataset search engines help a user find relevant datasets for reuse. They can present a sni…
Graph-based Ontology Summarization: A Survey
Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu +4
Ontologies have been widely used in numerous and varied applications, e.g., to support data modeling, information integration, and knowledge management. With the increasing size of…