activity
20182022
most citedKnowledge Graphs for Processing Scientific Data: Challenges and Prospects

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.DB2022

SymphonyDB: A Polyglot Model for Knowledge Graph Query Processing

Masoud Salehpour, Joseph G. Davis

Unlocking the full potential of Knowledge Graphs (KGs) to enable or enhance various semantic and other applications requires Data Management Systems (DMSs) to efficiently store and…

cs.DB2022

Towards Diversity-tolerant RDF-stores

Masoud Salehpour, Joseph G. Davis

We propose a novel approach to designing RDF-stores with the goal of improving the consistency and predictability of query performance. When designing these systems, three properti…

cs.DB20201 cited

Knowledge Graphs for Processing Scientific Data: Challenges and Prospects

Masoud Salehpour, Joseph G. Davis

There is growing interest in the use of Knowledge Graphs (KGs) for the representation, exchange, and reuse of scientific data. While KGs offer the prospect of improving the infrast…

cs.DB2020

A Comparative Analysis of Knowledge Graph Query Performance

Masoud Salehpour, Joseph G. Davis

As Knowledge Graphs (KGs) continue to gain widespread momentum for use in different domains, storing the relevant KG content and efficiently executing queries over them are becomin…

cs.DB2020

The Effects of Different JSON Representations on Querying Knowledge Graphs

Masoud Salehpour, Joseph G. Davis

Knowledge Graphs (KGs) have emerged as the de-facto standard for modeling and querying datasets with a graph-like structure in the Semantic Web domain. Our focus is on the performa…

cs.SE2018

Diversity, Productivity, and Growth of Open Source Developer Communities

Qingye Jiang, Young Choon Lee, Joseph G. Davis +1

The open source development model has become a paradigm shift from traditional in-house/closed-source software development model, with many successes. Traditionally, open source pr…