activity
20182023
most citedTowards Large-Scale Small Object Detection: Survey and Benchmarks

637 citations · 875 across the 23 of their papers we have counts for

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Showing cs.IRShow all

8 papers · 1 filter

cs.IR2020★ 1 cited

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…

cs.IR2020

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…

cs.IR2020

Relaxing Relationship Queries on Graph Data

Shuxin Li, Gong Cheng, Chengkai Li

In many domains we have witnessed the need to search a large entity-relation graph for direct and indirect relationships between a set of entities specified in a query. A search re…

cs.IR2019

GREASE: A Generative Model for Relevance Search over Knowledge Graphs

Tianshuo Zhou, Ziyang Li, Gong Cheng +2

Relevance search is to find top-ranked entities in a knowledge graph (KG) that are relevant to a query entity. Relevance is ambiguous, particularly over a schema-rich KG like DBped…

cs.IR2019★ 3 cited

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…

cs.IR2019★ 18 cited

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…

cs.IR2019

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…

cs.IR2018

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…