A
Achille Fokoue
Researcher at IBM
Publications - 86
Citations - 2751
Achille Fokoue is an academic researcher from IBM. The author has contributed to research in topics: Computer science & Ontology (information science). The author has an hindex of 21, co-authored 76 publications receiving 2403 citations.
Papers
More filters
OWL 2 Web Ontology Language: structural specification and functional-style syntax
Boris Motik,Peter F. Patel-Schneider,Bijan Parsia,C. Bock,Achille Fokoue,Peter Haase,Rinke Hoekstra,Ian Horrocks,Alan Ruttenberg,Ulrike Sattler,M. Smith +10 more
TL;DR: The OWL 2 Web Ontology Language, informally OWL2, is an ontology language for the Semantic Web with formally defined meaning.
Proceedings ArticleDOI
Interpretable Drug Target Prediction Using Deep Neural Representation
TL;DR: This work proposes an end-to-end neural network model that predicts DTIs directly from low level representations and provides biological interpretation using two-way attention mechanism.
BookDOI
The Semantic Web - ISWC 2013
Harith Alani,Lalana Kagal,Achille Fokoue,Paul Groth,Chris Biemann,Josiane Xavier Parreira,Lora Aroyo,Natasha Noy,Chris Welty,Krzysztof Janowicz +9 more
TL;DR: This work has adapted, extended, and integrated several open source applications and frameworks that handle major portions of functionality for these platforms and includes an object-type repository, collaboration tools, an ability to identify and manage all key entities in the platform, and an integrated portal to manage diverse content and applications.
Book ChapterDOI
Matching patient records to clinical trials using ontologies
Chintan Patel,James J. Cimino,Julian Dolby,Achille Fokoue,Aditya Kalyanpur,Aaron Kershenbaum,Li Ma,Edith Schonberg,Kavitha Srinivas +8 more
TL;DR: A large case study that explores the applicability of ontology reasoning to problems in the medical domain, and investigates whether it is possible to use such reasoning to automate common clinical tasks that are currently labor intensive and error prone.
Proceedings ArticleDOI
SQLGraph: An Efficient Relational-Based Property Graph Store
TL;DR: It is shown that existing mature, relational optimizers can be exploited with a novel schema to give better performance for property graph storage and retrieval than popular noSQL graph stores.