Guide for creating Companion Proceeding at CEUR.WS
This document aims to streamline the creation of conference companion proceedings to be published on...
Personal, yet not exhaustive, advice to PhD Students
At the beginning of 2025, prey of laziness and victim of abundant meals, I was...
SKM3 Research
My team’s research leverages the combined capabilities of Artificial Intelligence (AI) and Scientific Knowledge Graphs...
Vademecum for Succeeding your TMA
This document is meant to help my students from the M269 (Algorithms, data structures and...
CEUR-WS Policy on AI-Assisting Tools
Effective January 1, 2025, CEUR-WS will adopt a new policy about using Generative AI in...
Potential for intervention while on holiday
Anyone who really knows me knows that when I go on holiday, I rarely fully...
Global Network on Large-Scale, Cross-domain and Multilingual Open Knowledge Graphs (GOBLIN)
On 15th October 2024, we kicked off the GOBLIN COST Action (Global Network on Large-Scale...
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
“A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges” is a journal...
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
“Artificial Intelligence for Literature Reviews: Opportunities and Challenges” is a journal paper accepted at Artificial...
AI for the Research Ecosystem workshop #AI4RE – round up
On March 22, 2024, the AI for the Research Ecosystem workshop (#AI4RE) took place in...
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain
“Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain” is a journal paper accepted...
R-Classify: Extracting Research Papers' Relevant Concepts from a Controlled Vocabulary
“R-Classify: Extracting Research Papers’ Relevant Concepts from a Controlled Vocabulary” is a software paper accepted...
Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature
“Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature” is an In-Use...
Best Paper Award at the In-Use Track ISWC 2022
It is an honour to be prized for the Best Paper Award at the In-Use...
Annotating D3 dataset with the CSO Classifier
Abstract The DBLP Discovery Dataset (D3) is a newly created dataset of research papers in...
Sci-K 2022 – International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment
“Sci-K 2022 – International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment” is the introductory...
Enriching Data Lakes with Knowledge Graphs
“Enriching Data Lakes with Knowledge Graphs” is a workshop paper published at “Knowledge Graph Generation...
The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences
“The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences” is a research...
Characterising Research Areas in the field of AI
“Characterising Research Areas in the field of AI” is a research paper submitted to the...
New trends in scientific knowledge graphs and research impact assessment
“New trends in scientific knowledge graphs and research impact assessment” is the introductory chapter of...
AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry
“AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry” is a research paper...
Assessing Scientific Conferences through Knowledge Graphs
“Assessing Scientific Conferences through Knowledge Graphs” is a paper published at the Industry Track of...
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs
“AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs” is a demo paper accepted for presentation...
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...