TY - GEN
T1 - Exploring Large Scholarly Networks with Hermes
AU - Durand, Gabriel Campero
AU - Janardhana, Anusha
AU - Pinnecke, Marcus
AU - Shakeel, Yusra
AU - Krüger, Jacob
AU - Leich, Thomas
AU - Saake, Gunter
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2018
Y1 - 2018
N2 - Every year, the number of scientific publications increases, adding complexity to the networks of collaborations, citations, and topics, in which papers are embedded. Analyzing these networks with efficient tools is important to help researchers identify relevant works and understand scientific impact. However, available tools face several limitations, indicating that there is still room for improvement. We present Hermes, a prototype for exploring large and heterogeneous scholarly networks. Hermes allows users to seamlessly navigate diverse types of networks within a single graph, spanning hundreds of millions of nodes and relationships. Our prototype achieves reasonable responsiveness on commodity hardware through: a) comprehensive indexing, b) a careful coupling of a graph database and a search engine, and c) incremental processing of temporal queries. In this demonstration, we explain the techniques we adopt and illustrate how to use Hermes for exploring the Microsoft Academic Graph.
AB - Every year, the number of scientific publications increases, adding complexity to the networks of collaborations, citations, and topics, in which papers are embedded. Analyzing these networks with efficient tools is important to help researchers identify relevant works and understand scientific impact. However, available tools face several limitations, indicating that there is still room for improvement. We present Hermes, a prototype for exploring large and heterogeneous scholarly networks. Hermes allows users to seamlessly navigate diverse types of networks within a single graph, spanning hundreds of millions of nodes and relationships. Our prototype achieves reasonable responsiveness on commodity hardware through: a) comprehensive indexing, b) a careful coupling of a graph database and a search engine, and c) incremental processing of temporal queries. In this demonstration, we explain the techniques we adopt and illustrate how to use Hermes for exploring the Microsoft Academic Graph.
U2 - 10.5441/002/edbt.2018.76
DO - 10.5441/002/edbt.2018.76
M3 - Conference contribution
SP - 650
EP - 653
BT - International Conference on Extending Database Technology (EDBT)
PB - OpenProceedings.org
ER -