3 papers
cs.DB2022
Integrating connection search in graph queries
Angelos Christos Anadiotis, Ioana Manolescu, Madhulika Mohanty
Graph data management and querying has many practical applications. When graphs are very heterogeneous and/or users are unfamiliar with their structure, they may need to find how t…
cs.DB2017
Spec-QP: Speculative Query Planning for Joins over Knowledge Graphs
Madhulika Mohanty, Maya Ramanath, Mohamed Yahya +1
Organisations store huge amounts of data from multiple heterogeneous sources in the form of Knowledge Graphs (KGs). One of the ways to query these KGs is to use SPARQL queries over…
cs.IR2017
KlusTree: Clustering Answer Trees from Keyword Search on Graphs
Madhulika Mohanty, Maya Ramanath
Graph structured data on the web is now massive as well as diverse, ranging from social networks, web graphs to knowledge-bases. Effectively querying this graph structured data is…