Session Descriptions
We will use a google document for minute taking, and everyone is welcome to monitor and help with the editing of the minutes.
Monday 08:30 - 09:00 Organizers/Opening
A meeting of the Colloquium Organizers and local chairs up before the start of the coloquim.
Why this Seminar (Dr. Ghislain Atemezing)
Monday 09:00 - 10:00 Keynote Axel-Ngonga (Dept Info)
- Speaker: Prof.Dr. Axel-Cyrille Ngonga
Title: Trends on Big (AI) Data Analysis and Semantics: Applications in Research and Industry Projects
Abstract:
Bio:
Monday 10:00 - 11:00 Keynote Maria Keet (Dept Info)
- Speaker: Dr. Maria Keet
Title: Ontology verbalization for African languages
Abstract: Ontology verbalization involves generating natural language text from structured representations of knowledge, such as ontologies in OWL. This has multiple uses for business, such as for subject domain knowledge acquisition for application development, electronic health records management, and advanced data analysis with conceptual queries. However, neither OWL nor the common Semantic Web technologies infrastructure cater for easy tweaking to accommodate the core characteristics of African Languages for ontology verbalization. To achieve this nonetheless, we have been developing novel algorithms, models, and frameworks. While the test case language is mostly isiZulu, bootstrappability and generalizability of the algorithms to other African languages have been demonstrated, and the models can serve also other languages. This talk aims to provide an overview of the principal theoretical and engineering factors and approaches for successful ontology verbalization for the Niger-Congo family of African languages.
Bio:C. Maria Keet (PhD, MSc, MA, BSc(hons)) is an Associate Professor with the Department of Computer Science, University of Cape Town. She focuses on knowledge engineering with ontologies, conceptual data modelling, and their interaction with natural language, which has resulted in over 100 peer-reviewed publications at venues including K-CAP, EKAW, KR, FOIS, ESWC, ER, CIKM, Applied Ontology, Data & Knowledge Engineering, and the Journal of Web Semantics. She has been PI and researcher in several internationally and nationally funded projects. She wrote the first textbook on ontology engineering for computer scientists. Before her employment at UCT, Maria was a Senior lecturer at the School of Computer Science, University of KwaZulu-Natal, South Africa. Before that, she was a non-tenured Assistant Professor at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy, where she also obtained her PhD in Computer Science (2008), following a BSc(honours) 1st class in IT & Computing from the Open University UK in 2004, and 3.5 years work experience as systems engineer in the IT industry. She also obtained an MSc in Food Science from Wageningen University, the Netherlands (1998) and an MA 1st class in Peace & Development Studies from the University of Limerick, Ireland (2003).
Monday 11:00 - 11:30 Coffee Break (Dept Info)
Monday 11:30 - 12:15 Keynote Michel Kana (Dept Info)
- Speaker: Dr. Michel Kana
Title: Landscape of analytics management solutions in Social Marketing
Abstract:
Bio:
Monday 12:15- 13:00 Keynote Djofang Dieudonné (Dept Info)
- Speaker: Msc. Djofang Dieudonné
Title: Comment se frayer un chemin dans l'univers complexe de la data
Abstract:
Bio:
Monday 13:00 - 14:00 Lunch (Dept Info)
Monday 14:00- 14:30 Keynote Ghislain Atemezing (Dept Info)
- Speaker: Dr. Ghislain Atemezing
Title: Big Data and Vocabularies for Actionnable Intelligence
Abstract: What do a consumer goods manufacturer and a credit insurance group have in common? Both are subject to a variety of risks which, if not detected, may dramatically impact their operations and bottom lines. Delve into the challenges of putting together a semantic, technology-based business solution that monitors and reacts to a large amount of consumer feedback in real time, providing insights on consumer product quality. This talks presents the approach assisting credit risk analysts in the early detection of signals and events affecting companies’ solvency to anticipate default risks of targeted companies. Walk through this journey to solve real-world problems with business intelligence solutions based on semantic data and technologies.
Bio: Dr. Ghislain Atemezing obtained a PhD in computer science from Telecom ParisTech (France) and is a recognized expert in ontology web language, semantic technologies and triple store systems. He joined Mondeca (a software company based in Paris, France) in 2015. Ghislain heads up Mondeca's knowledge engineering practice (graph database expertise, data modeling and transformation, LOD querying and scraping) and helps enrich our clients’ data sets with linked open data. Ghislain is also in charge of promoting, supporting and curating the Linked Open Vocabularies initiative (http://lov.okfn.org/dataset/lov), the reusable linked vocabularies ecosystem shared by ontology experts around the globe. Main work on projects include ontology modeling, RDF stores benchmarking, text analytics, data model validation and fine tuning, linked open data querying, scraping and clean up (e.g. from such as Geonames, DBpedia, Wikidata, etc.).