A survey of community search over big graphs

Y Fang, X Huang, L Qin, Y Zhang, W Zhang, R Cheng… - The VLDB Journal, 2020 - Springer
With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

Complex temporal question answering on knowledge graphs

Z Jia, S Pramanik, R Saha Roy, G Weikum - Proceedings of the 30th …, 2021 - dl.acm.org
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …

Keyword search on large graphs: A survey

J Yang, W Yao, W Zhang - Data Science and Engineering, 2021 - Springer
With the prevalence of Internet access and online services, various big graphs are
generated in many real applications (eg, online social networks and knowledge graphs). An …

[PDF][PDF] Effective community search for large attributed graphs

Y Fang, CK Cheng, S Luo, J Hu - Proceedings of the VLDB Endowment, 2016 - hub.hku.hk
Given a graph G and a vertex q∈ G, the community search query returns a subgraph of G
that contains vertices related to q. Communities, which are prevalent in attributed graphs …

Attribute truss community search

X Huang, LVS Lakshmanan - arxiv preprint arxiv:1609.00090, 2016 - arxiv.org
Recently, community search over graphs has attracted significant attention and many
algorithms have been developed for finding dense subgraphs from large graphs that contain …

BLINKS: ranked keyword searches on graphs

H He, H Wang, J Yang, PS Yu - Proceedings of the 2007 ACM SIGMOD …, 2007 - dl.acm.org
Query processing over graph-structured data is enjoying a growing number of applications.
A top-k keyword search query on a graph finds the top k answers according to some ranking …

Ease: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data

G Li, BC Ooi, J Feng, J Wang, L Zhou - Proceedings of the 2008 ACM …, 2008 - dl.acm.org
Conventional keyword search engines are restricted to a given data model and cannot
easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an …

Data-driven web APIs recommendation for building web applications

L Qi, Q He, F Chen, X Zhang, W Dou… - IEEE transactions on big …, 2020 - ieeexplore.ieee.org
The ever-increasing popularity of web APIs allows app developers to leverage a set of
existing web APIs to achieve their sophisticated objectives. The heavily fragmented …

Spark: top-k keyword query in relational databases

Y Luo, X Lin, W Wang, X Zhou - Proceedings of the 2007 ACM SIGMOD …, 2007 - dl.acm.org
With the increasing amount of text data stored in relational databases, there is a demand for
RDBMS to support keyword queries over text data. As a search result is often assembled …

Keyword search on structured and semi-structured data

Y Chen, W Wang, Z Liu, X Lin - Proceedings of the 2009 ACM SIGMOD …, 2009 - dl.acm.org
Empowering users to access databases using simple keywords can relieve the users from
the steep learning curve of mastering a structured query language and understanding …