Ernesto Jimenez-Ruiz

• Bobed, Carlos; Bobillo, Fernando; Jimenez-Ruiz, Ernesto; Mena, Eduardo & Pan, Jeff Z. (2024). Praedixi, Redegi, Cogitavi: Adaptive knowledge for resource-aware semantic reasoning. Expert Systems With Applications. ISSN 0957-4174. 250. doi: 10.1016/j.eswa.2024.123838.
• Chen, Jiaoyan; He, Yuan; Geng, Yuxia; Jimenez-Ruiz, Ernesto; Dong, Hang & Horrocks, Ian (2023). Contextual semantic embeddings for ontology subsumption prediction. World wide web (Bussum). ISSN 1386-145X. doi: 10.1007/s11280-023-01169-9.
• Rasouli, Peyman; Yu, Ingrid Chieh & Jimenez-Ruiz, Ernesto (2022). Interpreting Categorical Data Classifiers using Explanation-based Locality. IEEE International Conference on Data Mining Workshops, ICDMW. ISSN 2375-9232. s. 163–170. doi: 10.1109/ICDMW58026.2022.00030.
• He, Yuan; Chen, Jiaoyan; Dong, Hang; Jimenez-Ruiz, Ernesto; Hadian, Ali & Horrocks, Ian (2022). Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13489, s. 575–591. doi: 10.1007/978-3-031-19433-7_33. Fulltekst i vitenarkiv
• Petricek, Tomas; van den Burg, Gerrit J. J.; Nazábal, Alfredo; Ceritli, Taha; Jimenez-Ruiz, Ernesto & Williams:, Christopher K. I. (2022). AI Assistants: A Framework for Semi-Automated Data Wrangling. IEEE Transactions on Knowledge and Data Engineering. ISSN 1041-4347. 35(9), s. 9295–9306. doi: 10.1109/TKDE.2022.3222538. Fulltekst i vitenarkiv Vis sammendrag

  Data wrangling tasks such as obtaining and linking data from various sources, transforming data formats, and correcting erroneous records, can constitute up to 80% of typical data engineering work. Despite the rise of machine learning and artificial intelligence, data wrangling remains a tedious and manual task. We introduce AI assistants, a class of semi-automatic interactive tools to streamline data wrangling. An AI assistant guides the analyst through a specific data wrangling task by recommending a suitable data transformation that respects the constraints obtained through interaction with the analyst. We formally define the structure of AI assistants and describe how existing tools that treat data cleaning as an optimization problem fit the definition. We implement AI assistants for four common data wrangling tasks and make AI assistants easily accessible to data analysts in an open-source notebook environment for data science, by leveraging the common structure they follow. We evaluate our AI assistants both quantitatively and qualitatively through three example scenarios. We show that the unified and interactive design makes it easy to perform tasks that would be difficult to do manually or with a fully automatic tool.

• Matentzoglu, Nicolas; Balhoff, James P.; Bello, Susan M.; Bizon, Chris; Brush, Matthew & Callahan, Tiffany J. [Vis alle 44 forfattere av denne artikkelen] (2022). A Simple Standard for Sharing Ontological Mappings (SSSOM). Database: The Journal of Biological Databases and Curation. ISSN 1758-0463. 2022. doi: 10.1093/database/baac035. Fulltekst i vitenarkiv
• Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto & Soylu, Ahmet [Vis alle 7 forfattere av denne artikkelen] (2022). Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, s. 123–128. doi: 10.1007/978-3-031-11609-4_23. Fulltekst i vitenarkiv
• Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto & Trung-Kien, Tran [Vis alle 11 forfattere av denne artikkelen] (2022). The Data Value Quest: A Holistic Semantic Approach at Bosch. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, s. 287–290. doi: 10.1007/978-3-031-11609-4_42. Fulltekst i vitenarkiv
• Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor; Cheng, Gong & Jimenez-Ruiz, Ernesto [Vis alle 8 forfattere av denne artikkelen] (2022). Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13384, s. 299–302. doi: 10.1007/978-3-031-11609-4_45. Fulltekst i vitenarkiv
• Avogadro, Roberto; Cremaschi, Marco; Jimenez-Ruiz, Ernesto & Rula, Anisa (2021). A Framework for Quality Assessment of Semantic Annotations of Tabular Data. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12922. doi: 10.1007/978-3-030-88361-4_31.
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian; Antonyrajah, Denvar; Hadian, Ali & Lee, Jaehun (2021). Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12731. doi: 10.1007/978-3-030-77385-4_23.
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian; Chen, Xi & Myklebust, Erik Bryhn (2021). An assertion and alignment correction framework for large scale knowledge bases. Semantic Web Journal. ISSN 1570-0844. 14(1), s. 29–53. doi: 10.3233/SW-210448. Vis sammendrag

  Various knowledge bases (KBs) have been constructed via information extraction from encyclopedias, text and tables, as well as alignment of multiple sources. Their usefulness and usability is often limited by quality issues. One common issue is the presence of erroneous assertions and alignments, often caused by lexical or semantic confusion. We study the problem of correcting such assertions and alignments, and present a general correction framework which combines lexical matching, context-aware sub-KB extraction, semantic embedding, soft constraint mining and semantic consistency checking. The framework is evaluated with one set of literal assertions from DBpedia, one set of entity assertions from an enterprise medical KB, and one set of mapping assertions from a music KB constructed by integrating Wikidata, Discogs and MusicBrainz. It has achieved promising results, with a correction rate (i.e., the ratio of the target assertions/alignments that are corrected with right substitutes) of 70.1%, 60.9% and 71.8%, respectively.

• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul & Tollefsen, Knut Erik (2021). Prediction of adverse biological effects of chemicals using knowledge graph embeddings. Semantic Web Journal. ISSN 1570-0844. 13(3), s. 299–338. doi: 10.3233/SW-222804.
• Chen, Jiaoyan; Hu, Pan; Jimenez-Ruiz, Ernesto; Holter, Ole Magnus; Antonyrajah, Denvar & Horrocks, Ian (2021). OWL2Vec*: embedding of OWL ontologies . Machine Learning. ISSN 0885-6125. 110(7), s. 1813–1845. doi: 10.1007/s10994-021-05997-6.
• Chen, Jiaoyan; Chen, Xi; Horrocks, Ian; Myklebust, Erik Bryhn & Jimenez-Ruiz, Ernesto (2020). Correcting Knowledge Base Assertions, WWW '20: Proceedings of The Web Conference 2020. Association for Computing Machinery (ACM). ISSN 978-1-4503-7023-3. s. 1537–1547. doi: 10.1145/3366423.3380226. Fulltekst i vitenarkiv
• Cutrona, Vincenzo; Bianchi, Federico; Jimenez-Ruiz, Ernesto & Palmonari, Matteo (2020). Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12507, s. 328–343. doi: 10.1007/978-3-030-62466-8_21. Fulltekst i vitenarkiv
• Jimenez-Ruiz, Ernesto; Hassanzadeh, Oktie; Efthymiou, Vasilis; Chen, Jiaoyan & Srinivas, Kavitha (2020). SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12123, s. 514–530. doi: 10.1007/978-3-030-49461-2_30. Fulltekst i vitenarkiv
• Faria, Daniel; Ferrara, Alfio; Jimenez-Ruiz, Ernesto; Montanelli, Stefano & Pesquita, Catia (2020). Crowd-assessing quality in uncertain data linking datasets. Knowledge engineering review (Print). ISSN 0269-8889. 35. doi: 10.1017/S0269888920000363. Fulltekst i vitenarkiv
• Jimenez-Ruiz, Ernesto; Agibetov, Asan; Chen, Jiaoyan; Samwald, Matthias & Cross, Valerie (2020). Dividing the ontology alignment task with semantic embeddings and logic-based modules. Frontiers in Artificial Intelligence and Applications. ISSN 0922-6389. 325, s. 784–791. doi: 10.3233/FAIA200167. Fulltekst i vitenarkiv
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian & Sutton, Charles (2019). Learning semantic annotations for tabular data. IJCAI International Joint Conference on Artificial Intelligence. ISSN 1045-0823. 2019-August, s. 2088–2094. doi: 10.24963/ijcai.2019/289. Fulltekst i vitenarkiv
• Algergawy, Alsayed; Faria, Daniel; Ferrara, Alfio; Fundulaki, Irini; Harrow, Ian & Hertling, Sven [Vis alle 22 forfattere av denne artikkelen] (2019). Results of the ontology alignment evaluation initiative 2019. CEUR Workshop Proceedings. ISSN 1613-0073. 2536, s. 46–85.
• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul & Tollefsen, Knut-Erik (2019). Knowledge Graph Embedding for Ecotoxicological Effect Prediction. I Ghidini, Chiara; Hartig, Olaf; Maleshkova, Maria; Svátek, Vojtěch; Cruz, Isabel; Hogan, Aidan; Song, Jie; Lefrançois, Maxime & Gandon, Fabien (Red.), The Semantic Web – ISWC 2019. Springer. ISSN 978-3-030-30795-0. s. 490–506. doi: 10.1007/978-3-030-30796-7_30.
• Jimenez-Ruiz, Ernesto (2019). LogMap Family Participation in the OAEI 2019. I Shvaiko, Pavel; Euzenat, Jérôme; Jimenez-Ruiz, Ernesto; Hassanzadeh, Oktie & Trojahn, Cassia (Red.), Proceedings of the 14th International Workshop on Ontology Matching. CEUR-WS.org. ISSN 1613-0073. Fulltekst i vitenarkiv
• Huanyu, Li; Dragisic, Zlatan; Faria, Daniel; Ivanova, Valentina; Jimenez-Ruiz, Ernesto & Lambrix, Patrick [Vis alle 7 forfattere av denne artikkelen] (2019). User validation in ontology alignment: Functional assessment and impact. Knowledge engineering review (Print). ISSN 0269-8889. 34. doi: 10.1017/S0269888919000080. Fulltekst i vitenarkiv
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian & Sutton, Charles A (2019). Learning Semantic Annotations for Tabular Data. I Kraus, Sarit (Red.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019, Macao, China, August 10-16, 2019. International Joint Conferences on Artificial Intelligence. ISSN 978-0-9992411-4-1. s. 2088–2094. doi: 10.24963/ijcai.2019/289.
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto & Horrocks, Ian (2019). Canonicalizing Knowledge Base Literals. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11778 LNCS, s. 110–127. doi: 10.1007/978-3-030-30793-6_7. Fulltekst i vitenarkiv
• Holter, Ole Magnus; Myklebust, Erik B; Chen, Jiaoyan & Jimenez-Ruiz, Ernesto (2019). Embedding OWL ontologies with OWL2Vec. CEUR Workshop Proceedings. ISSN 1613-0073. 2456, s. 33–36. Fulltekst i vitenarkiv Vis sammendrag

  In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies by projecting the ontology axioms into a graph and performing (random) walks over the ontology graph to create a corpus of sentences. This corpus is then given to a neural language model to create concept embeddings. The conducted preliminary evaluation shows promising results.

• Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny & Giese, Martin (2019). Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing. New generation computing. ISSN 0288-3635. 37(4), s. 361–392. doi: 10.1007/s00354-019-00071-1. Fulltekst i vitenarkiv
• Harrow, Ian; Balakrishnan, Rama; Jimenez-Ruiz, Ernesto; Jupp, Simon; Lomax, Jane & Reed, Jane [Vis alle 11 forfattere av denne artikkelen] (2019). Ontology mapping for semantically enabled applications. Drug Discovery Today. ISSN 1359-6446. 24(10), s. 2068–2075. doi: 10.1016/j.drudis.2019.05.020.
• Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian & Sutton, Charles (2019). ColNet: Embedding the Semantics of Web Tables for Column Type Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN 2159-5399. 30, s. 29–36. doi: 10.1609/aaai.v33i01.330129. Vis sammendrag

  Automatically annotating column types with knowledge base (KB) concepts is a critical task to gain a basic understanding of web tables. Current methods rely on either table metadata like column name or entity correspondences of cells in the KB, and may fail to deal with growing web tables with incomplete meta information. In this paper we propose a neural network based column type annotation framework named ColNet which is able to integrate KB reasoning and lookup with machine learning and can automatically train Convolutional Neural Networks for prediction. The prediction model not only considers the contextual semantics within a cell using word representation, but also embeds the semantics of a column by learning locality features from multiple cells. The method is evaluated with DBPedia and two different web table datasets, T2Dv2 from the general Web and Limaye from Wikipedia pages, and achieves higher performance than the state-of-the-art approaches.

• Jimenez-Ruiz, Ernesto; Saveta, Tzanina; Zamazal, Ondrej; Hertling, Sven; Roder, Michael & Fundulaki, Irini [Vis alle 22 forfattere av denne artikkelen] (2018). Introducing the HOBBIT platform into the Ontology Alignment Evaluation campaign. CEUR Workshop Proceedings. ISSN 1613-0073. 2288, s. 49–60.
• Algergawy, Alsayed; Cheatham, Michelle; Faria, Daniel; Ferrara, Alfio; Fundulaki, Irini & Harrow, Ian [Vis alle 24 forfattere av denne artikkelen] (2018). Results of the ontology alignment evaluation initiative 2018. CEUR Workshop Proceedings. ISSN 1613-0073. 2288, s. 76–116.
• Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto & Xiao, Guohui [Vis alle 9 forfattere av denne artikkelen] (2018). Finding Data Should be Easier than Finding Oil. I Abe, Naoki; Liu, Huan; Hu, Xiaohua; Ahmed, Nesreen; Qiao, Mu; Song, Yang; Kossmann, Donald; Liu, Bing; Lee, Kisung; Tang, Jiliang; He, Jingrui & Saltz, Jeffrey (Red.), 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-5035-6. doi: 10.1109/BigData.2018.8622035. Fulltekst i vitenarkiv Vis sammendrag

  The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive companies such as Equinor, a Norwegian multinational oil and gas company with more than 20,000 employees, gathering such data is not a trivial task due to the growing size and complexity of corporate information sources. As a result, the data gathering task is often the most time-consuming part of the decision making process, in particular when it comes to the work processes of Equinor’s Exploration geologists that should find in a timely manner New exploitable accumulations of oil or gas in given areas by analysing data about these areas. In this work we present our experience in addressing this data challenge tast at Equinor. We have developed and deployed at Equinor a semantic data access system that relies on the Ontology Based Data Access (OBDA) approach. Our system is based on our solid theoretical contributions and has been extensively evaluated at Equinor

• Jimenez-Ruiz, Ernesto; Agibetov, Asan; Samwald, Matthias & Cross, Valerie (2018). We divide, you conquer: From large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings. CEUR Workshop Proceedings. ISSN 1613-0073. 2180, s. 1–12. Fulltekst i vitenarkiv
• Pinkel, Christoph; Binning, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; May, Wolfgang & Nikolov, Andriy [Vis alle 12 forfattere av denne artikkelen] (2018). RODI: Benchmarking Relational-to-Ontology Mapping Generation Quality. Semantic Web Journal. ISSN 1570-0844. 9(1), s. 25–52. doi: 10.3233/SW-170268. Fulltekst i vitenarkiv
• Agibetov, Asan; Jimenez-Ruiz, Ernesto; Ondrésik, Marta; Solimando, Alessandro; Banerjee, Imon & Guerrini, Giovanna [Vis alle 11 forfattere av denne artikkelen] (2018). Supporting shared hypothesis testing in the biomedical domain. Journal of Biomedical Semantics. ISSN 2041-1480. 9:9( ), s. 1–22. doi: 10.1186/s13326-018-0177-x. Fulltekst i vitenarkiv
• Pinkel, Christoph; Binnig, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Nikolov, Andriy & Schwarte, Andreas [Vis alle 8 forfattere av denne artikkelen] (2017). IncMap: A Journey towards Ontology-based Data Integration. GI-Edition Lecture Notes in Informatics (LNI). ISSN 1617-5468. s. 145–164.
• Kudama, Shahad; Berlanga, Rafael & Jimenez-Ruiz, Ernesto (2017). Enriching the Human Phenotype Ontology with inferred axioms from textual descriptions. CEUR Workshop Proceedings. ISSN 1613-0073. 2042, s. 1–5.
• Jimenez-Ruiz, Ernesto; Grau, B Cuenca & Cross, V (2017). LogMap family participation in the OAEI 2017. CEUR Workshop Proceedings. ISSN 1613-0073. 2032, s. 153–157.
• Harrow, Ian; Jimenez-Ruiz, Ernesto; Splendiani, Andrea; Romacker, Martin; Woollard, Peter & Markel, Scott [Vis alle 10 forfattere av denne artikkelen] (2017). Matching disease and phenotype ontologies in the ontology alignment evaluation initiative. Journal of Biomedical Semantics. ISSN 2041-1480. 8(1), s. 1–13. doi: 10.1186/s13326-017-0162-9. Fulltekst i vitenarkiv
• Jimenez-Ruiz, Ernesto; Carapella, Valentina; Lukaschuk, Elena; Aung, Nay; Fung, Kenneth & Paiva, Jose [Vis alle 11 forfattere av denne artikkelen] (2017). Towards the creation of the cardiovascular magnetic resonance quality assessment ontology (CMR-QA). CEUR Workshop Proceedings. ISSN 1613-0073. 1795.
• Kharlamov, Evgeny; Hovland, Dag; Skjæveland, Martin G; Bilidas, Dimitris; Jimenez-Ruiz, Ernesto & Xiao, Guohui [Vis alle 16 forfattere av denne artikkelen] (2017). Ontology Based Data Access in Statoil. Journal of Web Semantics. ISSN 1570-8268. 44, s. 3–36. doi: 10.1016/j.websem.2017.05.005. Fulltekst i vitenarkiv
• Achichi, Manel; Cheatham, Michelle; Dragisic, Zlatan; Euzenat, Jerome; Faria, Daniel & Ferrara, Alfio [Vis alle 25 forfattere av denne artikkelen] (2017). Results of the ontology alignment evaluation initiative 2016. CEUR Workshop Proceedings. ISSN 1613-0073. 1766, s. 73–129.
• Soylu, Ahmet; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Jimenez-Ruiz, Ernesto; Giese, Martin & Skjæveland, Martin G [Vis alle 11 forfattere av denne artikkelen] (2017). OptiqueVQS: a Visual Query System over Ontologies for Industry . Semantic Web Journal. ISSN 1570-0844. s. 1–28. doi: 10.3233/sw-180293. Fulltekst i vitenarkiv
• Soylu, Ahmet; Giese, Martin; Schlatte, Rudolf; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny & Özçep, Özgür [Vis alle 8 forfattere av denne artikkelen] (2017). Querying industrial stream-temporal data: An ontology-based visual approach. Journal of Ambient Intelligence and Smart Environments. ISSN 1876-1364. 9(1), s. 77–95. doi: 10.3233/AIS-160415. Fulltekst i vitenarkiv
• Solimando, Alessandro; Jimenez-Ruiz, Ernesto & Guerrini, Giovanna (2017). Minimizing Conservativity Violations in Ontology Alignments: Algorithms and Evaluation. Knowledge and Information Systems. ISSN 0219-1377. 51(3). doi: 10.1007/s10115-016-0983-3.
• Achichi, Manel; Cheatham, Michelle; Dragisic, Zlatan; Euzenat, Jerome; Faria, Daniel & Ferrara, Alfio [Vis alle 25 forfattere av denne artikkelen] (2016). Results of the Ontology Alignment Evaluation Initiative 2016. CEUR Workshop Proceedings. ISSN 1613-0073. 1766, s. 73–129.
• Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Schlatte, Rudolf & Neuenstadt, Christian [Vis alle 11 forfattere av denne artikkelen] (2016). Ontology-based visual querying with OptiqueVQS: Statoil and Siemens cases. CEUR Workshop Proceedings. ISSN 1613-0073. 1818, s. 34–39.
• Kharlamov, Evgeny; Mailis, Theofilis P.; Bereta, Konstantina; Bilidas, Dimitris; Brandt, Sebastian & Jimenez-Ruiz, Ernesto [Vis alle 20 forfattere av denne artikkelen] (2016). A Semantic Approach to Polystores. I Joshi, James (Red.), Proceedings 2016 IEEE International Conference on Big Data. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-9005-7. s. 2565–2573. doi: 10.1109/BigData.2016.7840898.
• Jimenez-Ruiz, Ernesto; Cuenca Grau, Bernardo Cuenca & Cross, Valerie V. (2016). LogMap family participation in the OAEI 2016. CEUR Workshop Proceedings. ISSN 1613-0073. 1766, s. 185–189.
• Kharlamov, Evgeny; Brandt, Sebastian; Giese, Martin; Jimenez-Ruiz, Ernesto; Kotidis, Yannis & Lamparter, Steffen [Vis alle 17 forfattere av denne artikkelen] (2016). Enabling semantic access to static and streaming distributed data with optique: demo. I Gal, Avigdor; Weidlich, Matthias; Kalogeraki, Vana & Venkasubramanian, Nalini (Red.), Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS '16, Irvine, CA,USA, June 20 -24. ACM Publications. ISSN 978-1-4503-4021-2. s. 350–353. doi: 10.1145/2933267.2933290.

Se alle arbeider i Cristin

• Shvaiko, Pavel; Euzenat, Jérôme; Jimenez-Ruiz, Ernesto; Hassanzadeh, Oktie & Trojahn, Cassia (2019). Proceedings of the 14th International Workshop on Ontology Matching. CEUR-WS.org. ISBN 1613-0073. 202 s.
• Shvaiko, Pavel; Euzenat, Jérôme; Jimenez-Ruiz, Ernesto; Cheatham, Michelle & Hassanzadeh, Oktie (2018). Proceedings of the 13th International Workshop on Ontology Matching. CEUR-WS.org. ISBN 1613-0073. 227 s.
• Dragoni, Mauro; Poveda-Villalon, Maria & Jimenez-Ruiz, Ernesto (2017). OWL: Experiences and Directions - Reasoner Evaluation. Springer. ISBN 978-3-319-54626-1. 153 s.

Se alle arbeider i Cristin

• He, Yuan; Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Dong, Hang & Horrocks, Ian (2023). Language Model Analysis for Ontology Subsumption Inference. arXiv.org. ISSN 2331-8422. doi: 10.48550/arXiv.2302.06761.
• Horrocks, Ian; He, Yuan; Chen, Jiaoyan; Jimenez-Ruiz, Ernesto & Hadian, Ali (2022). Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching. Vis sammendrag

  Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the application of machine learning (ML) techniques. Although the Ontology Alignment Evaluation Initiative (OAEI) represents an impressive effort for the systematic evaluation of OM systems, it still suffers from several limitations including limited evaluation of subsumption mappings, suboptimal reference mappings, and limited support for the evaluation of ML-based systems. To tackle these limitations, we introduce five new biomedical OM tasks involving ontologies extracted from Mondo and UMLS. Each task includes both equivalence and subsumption matching; the quality of reference mappings is ensured by human curation, ontology pruning, etc.; and a comprehensive evaluation framework is proposed to measure OM performance from various perspectives for both ML-based and non-ML-based OM systems. We report evaluation results for OM systems of different types to demonstrate the usage of these resources, all of which are publicly available as part of the new BIO-ML track at OAEI 2022.

• Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto & Soylu, Ahmet [Vis alle 7 forfattere av denne artikkelen] (2022). Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring.
• Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Soylu, Ahmet; Cheng, Gong & Jimenez-Ruiz, Ernesto [Vis alle 8 forfattere av denne artikkelen] (2022). Ontology Reshaping for Knowledge Graph Construction: Applied on Bosch Welding Case.
• d’Avila Garcez, Artur & Jimenez-Ruiz, Ernesto (2022). Preface. CEUR Workshop Proceedings. ISSN 1613-0073. 3212.
• d’Avila Garcez, Artur & Jimenez-Ruiz, Ernesto (2021). Preface. CEUR Workshop Proceedings. ISSN 1613-0073. 2986.
• Jimenez-Ruiz, Ernesto (2021). Ontology Alignment and the two DLs (Keynote).
• Jimenez-Ruiz, Ernesto; Pene, Irina; Stahl, Oliver; Latif, Adnan; Paula, Rogerio Abreu de & Waaler, Arild Torolv Søetorp [Vis alle 7 forfattere av denne artikkelen] (2020). SiriusGeoAnnotator: Ontology-driven Knowledge Graph Population for Geological Image Annotation.
• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul & Tollefsen, Knut-Erik (2020). Ontology alignment in ecotoxicological effect prediction. CEUR Workshop Proceedings. ISSN 1613-0073. 2788, s. 233–234.
• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul & Tollefsen, Knut-Erik (2019). Knowledge Graph Embedding for Ecotoxicological Effect Prediction.
• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul & Tollefsen, Knut-Erik (2019). Ecotoxicological Effect Prediction Using Knowledge Graph Embedding.
• Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Wolf, Raoul; Rudjord, Zofia Czyczula & Tollefsen, Knut-Erik (2019). Integrating semantic technologies in environmental risk assessment: A vision.
• Jimenez-Ruiz, Ernesto; Hovland, Dag; Slaughter, Laura; Håndstad, Tony & Waaler, Arild (2017). On adopting ontology alignment techniques within the phenotype acquisition process. CEUR Workshop Proceedings. ISSN 1613-0073. 2042, s. 1–2.
• Pereira, Sunny; Cross, Valerie & Jimenez-Ruiz, Ernesto (2017). On partitioning for ontology alignment. CEUR Workshop Proceedings. ISSN 1613-0073. 2032, s. 219–220.
• Pereira, Sunny; Cross, Valerie & Jimenez-Ruiz, Ernesto (2017). On partitioning for ontology alignment. CEUR Workshop Proceedings. ISSN 1613-0073. 1963, s. 1–4.
• Dragoni, Mauro; Poveda-Villalon, Maria & Jimenez-Ruiz, Ernesto (2017). Preface. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 10161 LNCS, s. I–IX.
• Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Schlatte, Rudolf & Neuenstadt, Christian [Vis alle 11 forfattere av denne artikkelen] (2016). Ontology-based Visual Querying with OptiqueVQS: Statoil and Siemens Cases. CEUR Workshop Proceedings. ISSN 1613-0073. 1818.
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