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About

About

I am an associate professor at the Department of Computer Science of the Faculty of Science of the University of Porto and the coordinator of LIAAD , the Artificial Intelligence and Decision Support Lab of UP. LIAAD is a unit of INESC TEC (Laboratório Associado) since 2007. I am a PhD in Computer Science by U. Porto, MSc. on Foundations of Advanced Information Technology by the Imperial Collegeand BSc. in Applied Maths and Computer Science, currently Computer Science (U. Porto). My research interests are Data Mining and Machine Learning, in particular association rules, web  and text intelligence and data mining for decision support. My past research also includes Inductive Logic Programming and Collaborative Data Mining. I lecture courses related to programming, information processing, data mining, and other areas of computing. While at the Faculty of Economics, where I stayed from 1996 to 2009, I launched, with other colleagues, the MSc. on Data Analysis and Decisison Support Systems, which I coordinated from 2000 to April 2008. I lead research projects on data mining and web intelligence. I was the director of the Masters in Computer Science at DCC-FCUP from June 2010 to August 2013. I co-chaired international conferences (ECML/PKD 2015, Discovery Science 2009, ECML/PKDD 05 and EPIA 01), workshops and seminars in data mining and artificial intelligence. I was Vice-President of APPIA the Portuguese Association for Artificial Intelligence.

Interest
Topics
Details

Details

  • Name

    Alípio Jorge
  • Cluster

    Computer Science
  • Role

    Centre Coordinator
  • Since

    01st January 2008
017
Publications

2023

Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease

Authors
Lôpo, RX; Jorge, AM; Pedroto, M;

Publication
Communications in Computer and Information Science

Abstract

2023

Text Mining and Visualization of Political Party Programs Using Keyword Extraction Methods: The Case of Portuguese Legislative Elections

Authors
Campos, R; Jatowt, A; Jorge, A;

Publication
Information for a Better World: Normality, Virtuality, Physicality, Inclusivity - 18th International Conference, iConference 2023, Virtual Event, March 13-17, 2023, Proceedings, Part I

Abstract

2023

Text2Storyline: Generating Enriched Storylines from Text

Authors
Gonçalves, F; Campos, R; Jorge, A;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
In recent years, the amount of information generated, consumed and stored has grown at an astonishing rate, making it difficult for those seeking information to extract knowledge in good time. This has become even more important, as the average reader is not as willing to spare more time out of their already busy schedule as in the past, thus prioritizing news in a summarized format, which are faster to digest. On top of that, people tend to increasingly rely on strong visual components to help them understand the focal point of news articles in a less tiresome manner. This growing demand, focused on exploring information through visual aspects, urges the need for the emergence of alternative approaches concerned with text understanding and narrative exploration. This motivated us to propose Text2Storyline, a platform for generating and exploring enriched storylines from an input text, a URL or a user query. The latter is to be issued on the Portuguese Web Archive (Arquivo.pt), therefore giving users the chance to expand their knowledge and build up on information collected from web sources of the past. To fulfill this objective, we propose a system that makes use of the Time-Matters algorithm to filter out non-relevant dates and organize relevant content by means of different displays: ‘Annotated Text’, ‘Entities’, ‘Storyline’, ‘Temporal Clustering’ and ‘Word Cloud’. To extend the users’ knowledge, we rely on entity linking to connect persons, events, locations and concepts found in the text to Wikipedia pages, a process also known as Wikification. Each of the entities is then illustrated by means of an image collected from the Arquivo.pt. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2023

TweetStream2Story: Narrative Extraction from Tweets in Real Time

Authors
Castro, M; Jorge, A; Campos, R;

Publication
Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part III

Abstract

2023

Annotation and Visualisation of Reporting Events in Textual Narratives

Authors
Silvano, P; Amorim, E; Leal, A; Cantante, I; Silva, F; Jorge, A; Campos, R; Nunes, S;

Publication
Proceedings of Text2Story - Sixth Workshop on Narrative Extraction From Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2, 2023.

Abstract

Supervised
thesis

2022

Unfolding the Temporal Structure of Narratives

Author
Hugo Miguel Oliveira de Sousa

Institution
UP-FCUP

2022

Regime Detection in Sensor Data

Author
Ebrahim Behrouzian Nejad

Institution
UP-FCUP

2022

Incremental Approach for Automatic Generation of Domain Specific Sentiment Lexicon

Author
Shamsuddeen Hassan Muhammad

Institution
UP-FEUP

2022

Text2Storyline: Generating Enriched Storylines From Text

Author
Francisco Manuel Pires Gonçalves

Institution
UP-FCUP

2022

Time-To-Event Prediction

Author
Maria José Gomes Pedroto

Institution
UP-FEUP