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Cre8Blend - Analogies, Metaphors and Blends between raw text



Information and resources from the Cre8Blend project..

The Cre8Blend project represents a port of the "Dr Invetor" project to an integrated Python platform. It makes us of several other Python systems, most notably the Stanford parser and NetworkX. This project hope to generate meaningful Analogies (Metaphors and Conceptual Blends) between texts and comparable lexical data. .


Tumor Problem: Suppose you are a doctor faced with a patient who has a malignant tumor in his stomach. It is impossible to operate on the patient, but unless the tumor is destroyed the patient will die. There is a kind of ray that can be used to destroy the tumor. If the rays reach the tumor all at once at a sufficiently high intensity, the tumor will be destroyed. Unfortunately, at this intensity the healthy tissue that the rays pass through on the way to the tumor will also be destroyed. At lower intensities the rays are harmless to healthy tissue, but they will not affect the tumor either. What type of procedure might be used to destroy the tumor with the rays, and at the same time avoid destroying the healthy tissue?
Dispersion Attack: A fortress was located in the center of the country. Many roads radiated out from the fortress. A general wanted to capture the fortress with his army. The general wanted to prevent mines on the roads from destroying his army and neighboring villages. As a result the entire army could not attack the fortress along one road. However, the entire army was needed to capture the fortress. So an attack by one small group would not succeed. The general therefore divided his army into several small groups. He positioned the small groups at the heads of different roads. The small groups simultaneously converged on the fortress. In this way the army captured the fortress.

This text is processed and the main information extracted to create the following knowldge graph in concept-relation-conceptformat.

doctor face patient patient have tumor tumor destroy way It operate tissue There use stomach ray destroy ray they reach intensity
time pass time kind affect patient way use patient There destroy tumor ray avoid tumor time in tumor doctor on tumor
tumor of tissue It at patient tumor on patient ray to way ray to tumor tumor with tissue ray at ray

We depict a collection of these triples as a Force Directed Graph (FDG). An interative FDG can be found at the bottom of this page - most browsers supports it (eg FireFox and Edge). You can move nodes so read and explore each graph.

Tumour knowledge graph from the Tomour:Fortress analogy


Interactive knowledge graphs for a few Covid-19 publications
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women:
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study (Abstract)
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
COVID-19 and Italy what next
Presumed Asymptomatic Carrier Transmission
Coronavirus disease 2019 (COVID-19) Situation Report � 72
An interactive web-based dashboard to track COVID-19 in real time -Abstract only
An interactive web-based dashboard to track COVID-19 in real time -Full paper
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
The reproductive number of COVID-19 is higher compared to SARS coronavirus

Cre8Blend Members: Team members & developers (2017 - present) involving MSc and 15 (mostly) ECTS-credit undergraduate students.
Text Extraction from PDF: Althea Ibba, Christopher Mc Laughlin
Graph Generation: Michael Griffith (English), Eoin Manning (corefs, phrasal verbs), Wenjie Hu, Poonam Kumari (Java), Corentin Pinato (C#)
Knowledge Elaboration: David Buchannan
Graph Mapping/Counterpart: Conor Brady, Gary Crowe
Generic Space Conor McMenamin
Analogy/Blend Assesment: Shane Smullen