activity
20092020
most citedA knowledge representation meta-model for rule-based modelling of signalling networks

13 citations · 30 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LO2020★ 3 cited

Reversibility and Composition of Rewriting in Hierarchies

Russ Harmer, Eugenia Oshurko

In this paper, we study how graph transformations based on sesqui-pushout rewriting can be reversed and how the composition of rewrites can be constructed. We illustrate how such r…

cs.AI2020

Knowledge representation and update in hierarchies of graphs

Russ Harmer, Eugenia Oshurko

A mathematical theory is presented for the representation of knowledge in the form of a directed acyclic hierarchy of objects in a category where all paths between any given pair o…

cs.DB2019

Schema Validation and Evolution for Graph Databases

Angela Bonifati, Peter Furniss, Alastair Green +3

Despite the maturity of commercial graph databases, little consensus has been reached so far on the standardization of data definition languages (DDLs) for property graphs (PG). Th…

cs.AI2016★ 13 cited

A knowledge representation meta-model for rule-based modelling of signalling networks

Adrien Basso-Blandin, Walter Fontana, Russ Harmer

The study of cellular signalling pathways and their deregulation in disease states, such as cancer, is a large and extremely complex task. Indeed, these systems involve many parts…

cs.LO2015

Proceedings Tenth International Workshop on Developments in Computational Models

Ugo Dal Lago, Russ Harmer

This volume contains the papers presented at the Tenth International Workshop on Developments in Computational Models (DCM) held in Vienna, Austria on 13th July 2014, as part of th…

cs.LO2015★ 2 cited

Thermodynamic graph-rewriting

Vincent Danos, Russell Harmer, Ricardo Honorato-Zimmer

We develop a new thermodynamic approach to stochastic graph-rewriting. The ingredients are a finite set of reversible graph-rewriting rules called generating rules, a finite set of…

cs.OH2009★ 12 cited

Rule-based Modelling and Tunable Resolution

Russ Harmer

We investigate the use of an extension of rule-based modelling for cellular signalling to create a structured space of model variants. This enables the incremental development of r…