Martin Georg Skjæveland

• Lupp, Daniel P.; Hodkiewicz, Melinda & Skjæveland, Martin G (2020). Template Libraries for Industrial Asset Maintenance: A Methodology for Scalable and Maintainable Ontologies. CEUR Workshop Proceedings.  ISSN 1613-0073.  2757, s 49- 64 Full text in Research Archive. Show summary

  Data in engineering industries is highly standardized and information-dense, and usually distributed across many different sources with incompatible formats and implicit semantics. As such, it provides an ideal use case for application of semantic technologies for data integration and access. However, adoption of semantic technologies is hampered due to the complex set of competencies required to construct a scalable and maintainable ontology. We present a methodology for aiding domain experts and ontology engineers in constructing and maintaining industry-viable ontologies using a template-based approach for ontology modeling and instantiation. Using the OTTR framework, the structure of the input formats and the semantics of the target domain are modeled and maintained in separate modularized template libraries. Data provided by domain experts is mapped to these templates, allowing end-users to extend and amend the model without the need to directly interact with semantic technology languages and tools.Our approach is demonstrated on a real-world use case from the asset maintenance domain which has applicability to a wide range of industries.

• Kharlamov, Evgeny; Skjæveland, Martin G; Hovland, Dag; Mailis, Theofilos; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Horrocks, Ian & Waaler, Arild (2018). Finding Data Should be Easier than Finding Oil, In Naoki Abe; Huan Liu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He & Jeffrey Saltz (ed.),  2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018.  IEEE.  ISBN 978-1-5386-5035-6.  artikkel. Full text in Research Archive. Show summary

  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

• Lupp, Daniel Paul; Karlsen, Leif Harald & Skjæveland, Martin G (2018). Making a Case for Formal Relations over Ontology Patterns. CEUR Workshop Proceedings.  ISSN 1613-0073.  2195, s 87- 91
• 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 (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 Full text in Research Archive.
• Skjæveland, Martin G; Gjerver, Anders; Hansen, Christian Mahesh; Kluwer, Johan Wilhelm; Strand, Morten Rørvik; Waaler, Arild & Øverli, Per Øyvind (2018). Semantic Material Master Data Management at Aibel. CEUR Workshop Proceedings.  ISSN 1613-0073.  2180
• Skjæveland, Martin G; Karlsen, Leif Harald & Lupp, Daniel P. (2018). Practical Ontology Pattern Instantiation, Discovery, and Maintanence with Reasonable Ontology Templates - Demo paper. CEUR Workshop Proceedings.  ISSN 1613-0073.  2180
• Skjæveland, Martin G; Lupp, Daniel P.; Karlsen, Leif Harald & Forssell, Jon Henrik (2018). Practical Ontology Pattern Instantiation, Discovery, and Maintenance with Reasonable Ontology Templates. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  11136, s 477- 494 . doi: 10.1007/978-3-030-00671-6_28 Full text in Research Archive.
• Forssell, Jon Henrik; Lupp, Daniel Paul; Skjæveland, Martin G & Thorstensen, Evgenij (2017). Reasonable macros for ontology construction and maintenance. CEUR Workshop Proceedings.  ISSN 1613-0073.  1879, s 1- 13
• Hovland, Dag; Kontchakov, Roman; Skjæveland, Martin G; Waaler, Arild & Zakharyaschev, Michael (2017). Ontology-Based Data Access to Slegge. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  10588, s 120- 129 . doi: 10.1007/978-3-319-68204-4_12 Full text in Research Archive.
• Kharlamov, Evgeny; Hovland, Dag; Skjæveland, Martin G; Bilidas, Dimitris; Jimenez-Ruiz, Ernesto; Xiao, Guohui; Soylu, Ahmet; Lanti, Davide; Rezk, Martin; Zheleznyakov, Dmitriy; Giese, Martin; Lie, Hallstein; Ioannidis, Yannis; Kotidis, Yannis; Koubarakis, Manolis & Waaler, Arild Torolv Søetorp (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 Full text in Research Archive.
• Skjæveland, Martin G; Forssell, Jon Henrik; Klüwer, Johan W.; Lupp, Daniel Paul; Thorstensen, Evgenij & Waaler, Arild (2017). Reasonable ontology templates: APIs for OWL: Efficient and practical ontology design and maintenance. CEUR Workshop Proceedings.  ISSN 1613-0073.  1963, s 1- 4
• Skjæveland, Martin G; Forssell, Jon Henrik; Kluwer, Johan Wilhelm; Lupp, Daniel Paul; Thorstensen, Evgenij & Waaler, Arild (2017). Pattern-Based Ontology Design and Instantiation with Reasonable Ontology Templates. CEUR Workshop Proceedings.  ISSN 1613-0073.  2043
• Soylu, Ahmet; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Jimenez-Ruiz, Ernesto; Giese, Martin; Skjæveland, Martin G; Hovland, Dag; Schlatte, Rudolf; Brandt, Sebastian; Lie, Hallstein & Horrocks, Ian (2017). OptiqueVQS: a Visual Query System over Ontologies for Industry. Semantic Web Journal.  ISSN 1570-0844.  s 1- 28 . doi: 10.3233/sw-180293 Full text in Research Archive.
• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild; Bjørge, Eldar & Tungland, Knut Sebastian (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration, In  SPE Intelligent Energy Conference and Exhibition, Aberdeen, Scotland, UK, 6-8 September 2016 - Conference Proceedings.  Society of Petroleum Engineers.  ISBN 978-1-61399-459-7.  KAPITTEL.
• Zheleznyakov, Dmitriy; Kharlamov, Evgeny; Klungre, Vidar Norstein; Skjæveland, Martin G; Hovland, Dag; Giese, Martin; Horrocks, Ian & Waaler, Arild (2016). KeywDB: A system for keyword-driven ontology-to-RDB mapping construction. CEUR Workshop Proceedings.  ISSN 1613-0073.  1690
• Jiménez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian; Pinkel, Christoph; Skjæveland, Martin G; Thorstensen, Evgenij & Mora, Jose (2015). BOOTOX: Bootstrapping OWL 2 ontologies and R2RML mappings from relational databases. CEUR Workshop Proceedings.  ISSN 1613-0073.  1486
• Jiménez-Ruiz, Ernesto; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Horrocks, Ian; Pinkel, Christoph; Skjæveland, Martin G; Thorstensen, Evgenij & Mora, Jose (2015). BOOTOX: Practical mapping of RDBs to OWL 2. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  9367, s 113- 132 . doi: 10.1007/978-3-319-25010-6_7 Full text in Research Archive.
• Kharlamov, Evgeny; Hovland, Dag; Jiménez-Ruiz, Ernesto; Lanti, Davide; Lie, Hallstein; Pinkel, Christoph; Rezk, Martin; Skjæveland, Martin G; Thorstensen, Evgenij; Xiao, Guohui; Zheleznyakov, Dmitriy & Horrocks, Ian (2015). Ontology based access to exploration data at statoil. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  9367, s 93- 112 . doi: 10.1007/978-3-319-25010-6_6 Full text in Research Archive. Show summary

  Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is ‘connected’ to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management system. Despite a lot of attention from the research community, there are still few instances of real world industrial use of OBDA systems. In this work we present data access challenges in the data-intensive petroleum company Statoil and our experience in addressing these challenges with OBDA technology. In particular, we have developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion, and a query processing module to perform and optimise the process of translating ontological queries into data queries and their execution. Our modules have been successfully deployed and evaluated for an OBDA solution in Statoil.

• Kharlamov, Evgeny; Jiménez-Ruiz, Ernesto; Pinkel, Christoph; Rezk, Martin; Skjæveland, Martin G; Soylu, Ahmet; Xiao, Guohui; Zheleznyakov, Dmitriy; Giese, Martin; Horrocks, Ian & Waaler, Arild (2015). OPTIQUE: Ontology-based data access platform. CEUR Workshop Proceedings.  ISSN 1613-0073.  1486
• Pinkel, Christoph; Binning, Carsten; Jiménez-Ruiz, Ernesto; May, Wolfgang; Ritze, Dominique; Skjæveland, Martin G; Solimando, Alessandro & Kharlamov, Evgeny (2015). RODI: A benchmark for automatic mapping generation in relational-to-ontology data integration, In Fabien Gandon; Marta Sabou; Harald Sack; Claudia d’Amato; Philippe Cudré-Mauroux & Antoine Zimmermann (ed.),  The Semantic Web. Latest Advances and New Domains.  Springer.  ISBN 978-3-319-18817-1.  chapter.  s 21 - 37
• Skjæveland, Martin G (2015). Sgvizler: A JavaScript Wrapper for Easy Visualization of SPARQL Result Sets, In Elena Simperl; Barry Norton; Dunja Mladenic; Emanuele Della Valle; Irini Fundulaki; Alexandre Passant & Raphaël Troncy (ed.),  The Semantic Web: ESWC 2012 Satellite Events.  Springer.  ISBN 978-3-662-46640-7.  chapter 30.  s 361 - 365
• Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Lian, Espen Hallenstvedt & Waaler, Arild (2015). Engineering ontology-based access to real-world data sources. Journal of Web Semantics.  ISSN 1570-8268.  33, s 112- 140 . doi: 10.1016/j.websem.2015.03.002 Full text in Research Archive.
• Skjæveland, Martin G & Lian, Espen Hallenstvedt (2013). Benefits of Publishing the Norwegian Petroleum Directorate's FactPages as Linked Open Data, In Erlend Tøssebro & Hein Meling (ed.),  Norsk informatikkonferanse NIK 2013, Universitetet i Stavanger, 18. - 20.november 2013.  Akademika forlag.  ISBN 978-82-321-0365-2.  Chapter 6.  s 52 - 63
• Skjæveland, Martin G; Lian, Espen Hallenstvedt & Horrocks, Ian (2013). Publishing the Norwegian Petroleum Directorate's FactPages as Semantic Web Data, In Harith Alani; Lalana Kagal; Achille Fokoue; Paul Groth; Christian Biemann; Josiane Parreira; Lora Aroyo; Natasha Noy; Chris Welty & Krzysztof Janowicz (ed.),  The Semantic Web – ISWC 2013 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II.  Springer.  ISBN 978-3-642-41337-7.  chapter.  s 162 - 177
• Soylu, Ahmet; Skjæveland, Martin G; Giese, Martin; Horrocks, Ian; Jimenez-ruiz, Ernesto; Kharlamov, Evgeny & Zheleznyakov, Dmitriy (2013). A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data, In Emmanouel Garoufallou & Jane Greenberg (ed.),  Metadata and Semantics Research 7th Research Conference, MTSR 2013, Thessaloniki, Greece, November 19-22, 2013. Proceedings.  Springer.  ISBN 978-3-319-03436-2.  Chapter.  s 201 - 212
• Stolpe, Audun & Skjæveland, Martin G (2012). Preserving Information Content in RDF using Bounded Homomorphisms, In Elena Simperl; Philipp Cimiano; Axel Polleres; Oscar Corcho & Valentina Presutti (ed.),  The Semantic Web: Research and Applications.  Springer.  ISBN 978-3-642-30283-1.  KAPITTEL.  s 72 - 86
• Stolpe, Audun & Skjæveland, Martin G (2011). From Spreadsheets to 5-star Linked Data in the Cultural Heritage Domain: A Case Study of the Yellow List, In  Norsk Informatikkonferanse NIK 2011.  Tapir Akademisk Forlag.  ISBN 978-82-519-2843-4.  Artikkel 2.  s 13 - 24

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• Kluwer, Johan Wilhelm & Skjæveland, Martin G (2020). Ontology patterns for industrial ontologies : the READI use case.
• Skjæveland, Martin G; Lupp, Daniel P. & Karlsen, Leif Harald (2020). Pattern-based knowledge base construction.
• Cameron, David B.; Waaler, Arild; Skjæveland, Martin G; Gjerver, Anders & Hansen, Christian Mahesh (2019). The Whole Plant Digital Twin: What Can Semantic Technologies Contribute?.
• Skjæveland, Martin G; Karlsen, Leif Harald & Lupp, Daniel P. (2019). IOF Workshops 2019 Tutorial: Ontology patterns in practice.
• Skjæveland, Martin G & Lupp, Daniel P. (2019). Practical and Scalable Pattern-based Ontology Engineering with Reasonable Ontology Templates (OTTR) - Half-day tutorial.
• Skjæveland, Martin G; Lupp, Daniel P.; Karlsen, Leif Harald & Hodkiewicz, M. R. (2019). Scalable Construction of Sustainable Knowledge Bases - Full day tutorial..
• Latif, Adnan; Waaler, Arild; Giese, Martin; Hovland, Dag & Skjæveland, Martin G (2018). Ontology-Based Data Access in Exploration.
• Cameron, David Bruce; Waaler, Arild; Hovland, Dag & Skjæveland, Martin G (2017). Practical Knowledge Representation for Data Access to Subsurface Data: The Achievements and Potential of the Optique Platform.
• Cameron, David B.; Skjæveland, Martin G; Giese, Martin; Hovland, Dag; Waaler, Arild; Bjørge, Eldar & Tungland, Knut Sebastian (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration.
• Skjæveland, Martin G (2015). Engineering Semantic Data. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.. 1624.
• Kharlamov, Evgeny; Giese, Martin; Jimenez-ruiz, Ernesto; Skjæveland, Martin G; Soylu, Ahmet; Zheleznyakov, Dmitriy; Bagosi, Timea; Console, Marco; Haase, Peter; Horrocks, Ian; Marciuska, Sarunas; Pinkel, Christoph; Rodriguez-muro, Mariano; Ruzzi, Marco; Santarelli, Valerio; Fabio Savo, Domenico; Sengupta, Kunal; Schmidt, Michael; Thorstensen, Evgenij; Trame, Johannes & Waaler, Arild (2013). Optique 1.0: Semantic Access to Big Data: The Case of Norwegian Petroleum Directorate's FactPages.
• Skjæveland, Martin G & Stolpe, Audun (2013). Bounds: Expressing Reservations about Incoming Data.
• Skjæveland, Martin G & Stolpe, Audun (2013). Bounds: Expressing Reservations about Incoming Data.
• Skjæveland, Martin G (2012). Preserving Information Content in RDF using Bounded Homomorphisms.
• Skjæveland, Martin G (2012). Sgvizler: A JavaScript Wrapper for Easy Visualization of SPARQL Result Sets.
• Skjæveland, Martin G & Stolpe, Audun (2012). Bounded RDF Data Transformations. Full text in Research Archive.
• Stolpe, Audun & Skjæveland, Martin G (2011). Conservative Repurposing of RDF Data.
• Stolpe, Audun & Skjæveland, Martin G (2011). Conservative repurposing of public sector data. A first foray.

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