Browsing Institutt for informatikk by Author "Jimenez-Ruiz, Ernesto"

Now showing items 1-20 of 21

  • A Simple Standard for Sharing Ontological Mappings (SSSOM) 
    Matentzoglu, Nicolas; Balhoff, James P.; Bello, Susan M.; Bizon, Chris; Brush, Matthew; Callahan, Tiffany J.; Chute, Christopher G.; Duncan, William D.; Evelo, Chris T.; Gabriel, Davera; Graybeal, John; Gray, Alasdair; Gyori, Benjamin M.; Haendel, Melissa; Harmse, Henriette; Harris, Nomi L.; Harrow, Ian; Hegde, Harshad B.; Hoyt, Amelia L.; Hoyt, Charles T.; Jiao, Dazhi; Jimenez-Ruiz, Ernesto; Jupp, Simon; Kim, Hyeongsik; Koehler, Sebastian; Liener, Thomas; Long, Qinqin; Malone, James; McLaughlin, James A.; McMurry, Julie A.; Moxon, Sierra; Munoz-Torres, Monica C.; Osumi-Sutherland, David; Overton, James A.; Peters, Bjoern; Putman, Tim; Queralt-Rosinach, Núria; Shefchek, Kent; Solbrig, Harold; Thessen, Anne; Tudorache, Tania; Vasilevsky, Nicole; Wagner, Alex H.; Mungall, Christopher J. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Abstract Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar ...
  • AI Assistants: A Framework for Semi-Automated Data Wrangling 
    Petricek, Tomas; van den Burg, Gerrit J. J.; Nazábal, Alfredo; Ceritli, Taha; Jimenez-Ruiz, Ernesto; Williams:, Christopher K. I. (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    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 ...
  • Canonicalizing Knowledge Base Literals 
    Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Ontology-based knowledge bases (KBs) like DBpedia are very valuable resources, but their usefulness and usability are limited by various quality issues. One such issue is the use of string literals instead of semantically ...
  • Correcting Knowledge Base Assertions 
    Chen, Jiaoyan; Chen, Xi; Horrocks, Ian; Jimenez-Ruiz, Ernesto; Myklebust, Erik Bryhn (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
    The usefulness and usability of knowledge bases (KBs) is often limited by quality issues. One common issue is the presence of erroneous assertions, often caused by lexical or semantic confusion. We study the problem of ...
  • Crowd-assessing quality in uncertain data linking datasets 
    Faria, Daniel; Ferrara, Alfio; Jimenez-Ruiz, Ernesto; Montanelli, Stefano; Pesquita, Catia (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    The quality of a dataset used for evaluating data linking methods, techniques, and tools depends on the availability of a set of mappings, called reference alignment, that is known to be correct. In particular, it is crucial ...
  • Dividing the ontology alignment task with semantic embeddings and logic-based modules 
    Jimenez-Ruiz, Ernesto; Agibetov, Asan; Chen, Jiaoyan; Samwald, Matthias; Cross, Valerie (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an ...
  • Embedding OWL ontologies with OWL2Vec 
    Holter, Ole Magnus; Myklebust, Erik Bryhn; Chen, Jiaoyan; Jimenez-Ruiz, Ernesto (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    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. ...
  • Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case 
    Zhou, Dongzhuoran; Zhou, Baifan; Zheng, Zhuoxun; Kostylev, Egor V.; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    In the context of Industry 4.0 and Internet of Things (IoT), modern manufacturing and production lines are equipped with software systems and sensors that constantly collect and send a high volume of data.
  • Knowledge graph embedding for ecotoxicological effect prediction 
    Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul; Tollefsen, Knut-Erik (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Exploring the effects of a chemical compound on a species takes a considerable experimental effort. Appropriate methods for estimating and suggesting new effects can dramatically reduce the work needed to be done by a ...
  • Learning Semantic Annotations for Tabular Data 
    Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian; Sutton, Charles A (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
    The usefulness of tabular data such as web tables critically depends on understanding their semantics. This study focuses on column type prediction for tables without any meta data. Unlike traditional lexical matching-based ...
  • LogMap Family Participation in the OAEI 2019 
    Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
    We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is ...
  • Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching 
    He, Yuan; Chen, Jiaoyan; Dong, Hang; Jimenez-Ruiz, Ernesto; Horrocks, Ian (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    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) ...
  • Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing 
    Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Giese, Martin (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual ...
  • Query-Based Industrial Analytics over Knowledge Graphs with Ontology Reshaping 
    Zheng, Zhuoxun; Zhou, Baifan; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Soylu, Ahmet; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as the data format and ontologies as the ...
  • Results of the Ontology Alignment Evaluation Initiative 2019 
    Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
    The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple ...
  • RODI: Benchmarking Relational-to-Ontology Mapping Generation Quality 
    Pinkel, Christoph; Binning, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; May, Wolfgang; Nikolov, Andriy; Bastinos, Ana Sasa; Skjæveland, Martin G; Solimando, Alessandro; Taheriyan, Mohsen; Heupel, Christian; Horrocks, Ian (Journal article / Tidsskriftartikkel / SubmittedVersion, 2018)
    Accessing and utilizing enterprise or Web data that is scattered across multiple data sources is an important task for both applications and users. Ontology-based data integration, where an ontology mediates between the ...
  • SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems 
    Jimenez-Ruiz, Ernesto; Hassanzadeh, Oktie; Efthymiou, Vasilis; Chen, Jiaoyan; Srinivas, Kavitha (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. This task is a challenging problem for various reasons, ...
  • The Data Value Quest: A Holistic Semantic Approach at Bosch 
    Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    Introduction. Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data thanks to the technological advances of Industry 4.0, including development in perception, communication, ...
  • Tough Tables: Carefully Evaluating Entity Linking for Tabular Data 
    Cutrona, Vincenzo; Bianchi, Federico; Jimenez-Ruiz, Ernesto; Palmonari, Matteo (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
    Table annotation is a key task to improve querying the Web and support the Knowledge Graph population from legacy sources (tables). Last year, the SemTab challenge was introduced to unify different efforts to evaluate table ...
  • User validation in ontology alignment: functional assessment and impact 
    Huanyu, Li; Dragisic, Zlatan; Faria, Daniel; Ivanova, Valentina; Jimenez-Ruiz, Ernesto; Lambrix, Patrick; Pesquita, Catia (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on ...