Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain
“Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain” is a...
CSO Classifier 3.0
Abstract Classifying research papers according to their research topics is an important task to improve...
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs
“Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs” is a book chapter...
CSO Classifier 3.0: A Scalable Unsupervised Method for Classifying Documents in Terms of Research Topics
“CSO Classifier 3.0: A Scalable Unsupervised Method for Classifying Documents in Terms of Research Topics”...
Trans4E: Link Prediction on Scholarly Knowledge Graphs
“Trans4E: Link Prediction on Scholarly Knowledge Graphs” is a journal paper submitted to the Special...
Scientific Knowledge Graphs: an Overview
On 12th May 2021, I have been invited by Dimitris Sacharidis to give a lecture...
Clique Percolation Method in Python
Clique Percolation Method (CPM) is an algorithm for finding overlapping communities within networks, introduced by...
ISWC2020 – BEST DEMO OF THE DAY AWARD
The Smart Topic Miner, which is an innovative state-of-the-art AI application for automating editorial processes...
Applying Machine Learning Techniques to Big Data in the Scholarly Domain
Ontologies of research areas have been proven to be useful in many application for analysing...
Finalists at DataIQ 2020 Awards
The Smart Topic Miner, which is an innovative state-of-the-art AI application for automating editorial processes...
The AIDA Dashboard: Analysing Conferences with Semantic Technologies
“The AIDA Dashboard: Analysing Conferences with Semantic Technologies” is a demo paper submitted to the...
AIDA Dashboard
The AIDA Dashboard is a web application that allows users to visualize several kind of...
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium
“Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020...
'PhD Survival Guide', Angelo and Akshika, The Open University
This is a little project that my friend Akshika and I brought forward with the...
ResearchFlow: Understanding the Knowledge Flow between Academia and Industry
“ResearchFlow: Understanding the Knowledge Flow between Academia and Industry” is a conference paper submitted to Knowledge Engineering...
Angelo and Edu Frias on the PhD Defence
Going through the final stages of your PhD? No worries! We’ve got you covered. In...
Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics
Academia and industry are constantly engaged in a joint effort for producing scientific knowledge that...
Angelo and Tina on the PhD journey
Have you thought of doing a PhD, you are currently doing or you have finished?...
Academia/Industry DynAmics (AIDA) Knowledge Graph
Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between...
Just Chilling with Angelo Salatino
I like to tell stories. I like to explore people’s story. I feel there is...
I launched an online course on Instagram, here is my lesson learned
THIS IS A DRAFT – WORK IN PROGRESS During the COVID-19 outbreak many people relied...
Ontology Extraction and Usage in the Scholarly Knowledge Domain
Ontologies of research areas have been proven to be useful in many application for analysing...
1st Workshop on Scientific Knowledge Graphs (SKG2020)
In the last decade, we experienced an urgent need for a flexible, context-sensitive, fine-grained, and...
Computing Automorphic Numbers
In our lab, we like to tease each other with fancy riddles. In our kitchen...
1st Smart City and Robotic Challenge (SCiRoC 2019)
Last week — 18th to 21st September 2019 — the first International Competition on Smart...
How to use the CSO Classifier in other domains
Being able to characterise research papers according to their topics enables a multitude of high-level...
The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas
Ontologies of research areas are important tools for characterising, exploring, and analysing the research landscape...
Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature
Producing a robust and comprehensive representation of the research topics covered by a scientific publication...
Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry
Analysing the relationship between academia and industry allows us to understand how the knowledge produced...
Improving Editorial Workflow and Metadata Quality at Springer Nature
Identifying the research topics that best describe the scope of a scientific publication is a...