A survey of community search over big graphs
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 …
many real applications (eg, social media and knowledge bases). An important component of …
Complex temporal question answering on knowledge graphs
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 …
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 …
generated in many real applications (eg, online social networks and knowledge graphs). An …
[PDF][PDF] Effective community search for large attributed graphs
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 …
that contains vertices related to q. Communities, which are prevalent in attributed graphs …
Attribute truss community search
Recently, community search over graphs has attracted significant attention and many
algorithms have been developed for finding dense subgraphs from large graphs that contain …
algorithms have been developed for finding dense subgraphs from large graphs that contain …
BLINKS: ranked keyword searches on graphs
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 …
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
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 …
easily adapt to unstructured, semi-structured or structured data. In this paper, we propose an …
Data-driven web APIs recommendation for building web applications
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 …
existing web APIs to achieve their sophisticated objectives. The heavily fragmented …
Spark: top-k keyword query in relational databases
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 …
RDBMS to support keyword queries over text data. As a search result is often assembled …
Keyword search on structured and semi-structured data
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 …
the steep learning curve of mastering a structured query language and understanding …