Dr Ernesto Jiménez-Ruiz

Overview

Ernesto Jimenez Ruiz is a Lecturer in Artificial Intelligence at City, University of London affiliated to the Research Center for Adaptive Computer Systems and Machine Learning. He is also a researcher in the Centre for Scalable Data Access (SIRIUS) at the University of Oslo, Norway. He previously held a Senior Research Associate position at The Alan Turing Institute in London (UK) and a Research Assistant position at the University of Oxford. His home university (Universitat Jaume I, Castellon, Spain) awarded a “Premio extraordinario de doctorado” (roughly translated as a Extraordinary Doctoral Award) to his doctoral thesis (Engineering category 2010-2011). His research has covered several areas, including bio-medical information processing and integration, ontology reuse, ontology versioning and evolution, ontology alignment. His current research interests focus on the application of Semantic Technology to Data Science workflows and the combination of Knowledge Representation and Machine Learning techniques.

My complete list of publications can be found here. The PDF of most of the articles are available online.


TEACHING

Office hours
My drop-in times for Term 2 (2022/2023) are scheduled to:

Mondays: 11:00-12:00. (A309L, College Building).
Wednesdays: 14:00-15:00. (A309L, College Building).

A meeting via email or Teams can also be arranged beforehand.

INM373 Research Methods and Professional Issues (Module leader)

Moodle 2022/23.
Moodle 2021/22.


INM713 and IN3067: Semantic Web Technologies and Knowledge Graphs (SWT&KG) (Module leader)

Public material.
Moodle 2022/23.
Moodle 2021/22.
Moodle 2020/21.

Module specification.

In this module we aim at training the new generation of data scientists with the necessary skills in semantic technologies to meet today’s demands from industry, where data (and knowledge) scientists are expected to semantically orchestrate diverse types of data sources.

Qualifications

• PhD, Jaume I University, Spain, Jun 2006 – Jun 2010
• BSc/MSc, Jaume I University, Spain, Sep 1999 – Sep 2004

Administrative roles

• Module Leader: Semantic Web Technologies and Knowledge Graphs (INM713), City, University of London, Sep 2020 – present
• Admissions MSc Data Science, City, University of London, Jan 2020 – present

Employment

• Knowledge Graph Engineer, Samsung Research UK, Apr – Oct 2022
• Lecturer in Artificial Intelligence, City, University London, Sep 2019 – present
• Senior Research Associate, The Alan Turing Institute, Apr 2018 – Sep 2019
• Researcher, University of Oslo, Sep 2016 – present
• Research Assistant, University of Oxford, Jan 2011 – Aug 2016
• Researcher, European Bioinformatics Institute, Oct 2010 – Jan 2011
• Research Assistant, Jaume I University, Oct 2004 – Oct 2010

Languages

English (can read, write, speak, understand spoken and peer review), Italian (can read, write, speak and understand spoken) and Spanish; Castilian (can read, write, speak, understand spoken and peer review).

Research Interests

My research has covered several areas, including bio-medical information processing and integration, ontology reuse, ontology versioning and evolution, ontology alignment, and text mining. I have also designed novel algorithmic techniques and developed java-based tools to serve as a proof of concept of the conducted theoretical research. My current research interest focuses on the integration of Knowledge Representation and Machine Learning techniques.

Supervision

I am willing to supervise undergraduate, MSc and PhD students. Please drop me a line and we can discuss possible projects.

Research students

Featured publications

1. He, Y., Chen, J., Dong, H., Jiménez-Ruiz, E., Hadian, A. and Horrocks, I. (2022). Machine Learning-Friendly Biomedical Datasets for Equivalence and
   Subsumption Ontology Matching. International Semantic Web Conference 23-27 October.
2. Chen, J., Jiménez-Ruiz, E., Horrocks, I., Antonyrajah, D., Hadian, A. and Lee, J. (2021). Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision. doi:10.1007/978-3-030-77385-4_23
3. Jiménez-Ruiz, E., Agibetov, A., Chen, J., Samwald, M. and Cross, V. (2020). Dividing the ontology alignment task with semantic embeddings and logic-based modules. doi:10.3233/FAIA200167
4. Jiménez-Ruiz, E., Hassanzadeh, O., Efthymiou, V., Chen, J. and Srinivas, K. (2020). SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems. doi:10.1007/978-3-030-49461-2_30
5. Chen, J., Jimenez-Ruiz, E., Horrocks, I. and Sutton, C. (2019). Learning Semantic Annotations for Tabular Data.
6. Chen, J., Jimenez-Ruiz, E., Horrocks, I., Sutton, C. and AAAI, (2019). ColNet: Embedding the Semantics of Web Tables for Column Type Prediction.
7. Myklebust, E.B., Jimenez-Ruiz, E., Chen, J., Wolf, R. and Tollefsen, K.E. Knowledge Graph Embedding for Ecotoxicological Effect Prediction.
8. Matentzoglu, N., Balhoff, J.P., Bello, S.M., Bizon, C., Brush, M., Callahan, T.J. … Mungall, C.J. (2022). A Simple Standard for Sharing Ontological Mappings (SSSOM). Database, 2022. doi:10.1093/database/baac035.
9. Myklebust, E.B., Jiménez-Ruiz, E., Chen, J., Wolf, R. and Tollefsen, K.E. (2022). Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings. Semantic Web Journal, 13(3), pp. 299–338. doi:10.3233/SW-222804.

   [publisher’s website]

10. Petricek, T., van den Burg, G.J.J., Nazabal, A., Ceritli, T., Jimenez-Ruiz, E. and Williams, C.K.I. (2022). AI Assistants: A Framework for Semi-Automated Data Wrangling. IEEE Transactions on Knowledge and Data Engineering pp. 1–12. doi:10.1109/tkde.2022.3222538.

    [publisher’s website]

11. Chen, J., Hu, P., Jimenez-Ruiz, E., Holter, O.M., Antonyrajah, D. and Horrocks, I. (2021). OWL2Vec*: embedding of OWL ontologies. Machine Learning. doi:10.1007/s10994-021-05997-6.

    [publisher’s website]

12. Harrow, I., Balakrishnan, R., Jimenez-Ruiz, E., Jupp, S., Lomax, J., Reed, J. … Woollard, P. (2019). Ontology mapping for semantically enabled applications. Drug Discovery Today, 24(10), pp. 2068–2075. doi:10.1016/j.drudis.2019.05.020.

    [publisher’s website]

Publications by category