Martin Georg Skjæveland

• Skjæveland, Martin G; Balog, Krisztian; Bernard, Nolwenn; Lajewska, Weronika & Linjordet, Trond (2024). An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open. 5, p. 55–69. doi: 10.1016/j.aiopen.2024.01.003.
• Kindermann, Christian & Skjæveland, Martin G (2022). A Survey of Syntactic Modelling Structures in Biomedical Ontologies, The Semantic Web – ISWC 2022. Springer. ISSN 978-3-031-19432-0. p. 445–461. doi: 10.1007/978-3-031-19433-7_26.
• Balog, Krisztian; Mirza, Paramita; Skjæveland, Martin G & Wang, Zhilin (2022). Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. SIGIR Forum. ISSN 0163-5840. 56(1). Full text in Research Archive
• Skjæveland, Martin G (2021). The Core OTTR Template Library. In Blomqvist, Eva; Hahmann, Torsten; Hammar, Karl; Hitzler, Pascal; Hoekstra, Rinke; Mutharaju, Raghava; Poveda-Villalon, Maria; Shimizu, Cogan; Skjæveland, Martin G; Solanki, Monika; Svátek, Vojtěch & Zhou, Lu (Ed.), Advances in Pattern-Based Ontology Engineering. IOS Press. ISSN 978-1-64368-174-0. p. 378–393. doi: %2010.3233/SSW210026. Show summary

  Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.

• Skjæveland, Martin G; Lupp, Daniel P.; Karlsen, Leif Harald & Kluwer, Johan Wilhelm (2021). OTTR: Formal Templates for Pattern-Based Ontology Engineering. In Blomqvist, Eva; Hahmann, Torsten; Hammar, Karl; Hitzler, Pascal; Hoekstra, Rinke; Mutharaju, Raghava; Poveda-Villalon, Maria; Shimizu, Cogan; Skjæveland, Martin G; Solanki, Monika; Svátek, Vojtěch & Zhou, Lu (Ed.), Advances in Pattern-Based Ontology Engineering. IOS Press. ISSN 978-1-64368-174-0. p. 349–377. doi: %2010.3233/SSW210025. Show summary

  Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.

• Kindermann, Christian; Lupp, Daniel P.; Skjæveland, Martin G & Karlsen, Leif Harald (2021). Formal Relations over Ontology Patterns in Templating Frameworks. In Blomqvist, Eva; Hahmann, Torsten; Hammar, Karl; Hitzler, Pascal; Hoekstra, Rinke; Mutharaju, Raghava; Poveda-Villalon, Maria; Shimizu, Cogan; Skjæveland, Martin G; Solanki, Monika; Svátek, Vojtěch & Zhou, Lu (Ed.), Advances in Pattern-Based Ontology Engineering. IOS Press. ISSN 978-1-64368-174-0. p. 120–133. doi: %2010.3233/SSW210010. Show summary

  Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.

• 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, p. 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 [Show all 9 contributors for this article] (2018). Finding Data Should be Easier than Finding Oil. In Abe, Naoki; Liu, Huan; Hu, Xiaohua; Ahmed, Nesreen; Qiao, Mu; Song, Yang; Kossmann, Donald; Liu, Bing; Lee, Kisung; Tang, Jiliang; He, Jingrui & Saltz, Jeffrey (Ed.), 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. 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

• Skjæveland, Martin G; Gjerver, Anders; Hansen, Christian Mahesh; Kluwer, Johan Wilhelm; Strand, Morten Rørvik & Waaler, Arild [Show all 7 contributors for this article] (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, p. 477–494. doi: 10.1007/978-3-030-00671-6_28. Full text in Research Archive
• 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, p. 87–91.
• Pinkel, Christoph; Binning, Carsten; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; May, Wolfgang & Nikolov, Andriy [Show all 12 contributors for this article] (2018). RODI: Benchmarking Relational-to-Ontology Mapping Generation Quality. Semantic Web Journal. ISSN 1570-0844. 9(1), p. 25–52. doi: 10.3233/SW-170268. 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, p. 1–4.
• 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, p. 1–13.
• 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.
• 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, p. 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 [Show all 16 contributors for this article] (2017). Ontology Based Data Access in Statoil. Journal of Web Semantics. ISSN 1570-8268. 44, p. 3–36. doi: 10.1016/j.websem.2017.05.005. Full text in Research Archive
• Soylu, Ahmet; Kharlamov, Evgeny; Zheleznyakov, Dmitriy; Jimenez-Ruiz, Ernesto; Giese, Martin & Skjæveland, Martin G [Show all 11 contributors for this article] (2017). OptiqueVQS: a Visual Query System over Ontologies for Industry . Semantic Web Journal. ISSN 1570-0844. p. 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 [Show all 7 contributors for this article] (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration, SPE Intelligent Energy Conference and Exhibition, Aberdeen, Scotland, UK, 6-8 September 2016 - Conference Proceedings. Society of Petroleum Engineers. ISSN 978-1-61399-459-7. doi: 10.2118/181111-MS.
• Zheleznyakov, Dmitriy; Kharlamov, Evgeny; Klungre, Vidar Norstein; Skjæveland, Martin G; Hovland, Dag & Giese, Martin [Show all 8 contributors for this article] (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 [Show all 8 contributors for this article] (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 [Show all 8 contributors for this article] (2015). BOOTOX: Practical mapping of RDBs to OWL 2. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 9367, p. 113–132. doi: 10.1007/978-3-319-25010-6_7. Full text in Research Archive
• Kharlamov, Evgeny; Jiménez-Ruiz, Ernesto; Pinkel, Christoph; Rezk, Martin; Skjæveland, Martin G & Soylu, Ahmet [Show all 11 contributors for this article] (2015). OPTIQUE: Ontology-based data access platform. CEUR Workshop Proceedings. ISSN 1613-0073. 1486.
• Kharlamov, Evgeny; Hovland, Dag; Jiménez-Ruiz, Ernesto; Lanti, Davide; Lie, Hallstein & Pinkel, Christoph [Show all 12 contributors for this article] (2015). Ontology based access to exploration data at statoil. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 9367, p. 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.

• Pinkel, Christoph; Binning, Carsten; Jiménez-Ruiz, Ernesto; May, Wolfgang; Ritze, Dominique & Skjæveland, Martin G [Show all 8 contributors for this article] (2015). RODI: A benchmark for automatic mapping generation in relational-to-ontology data integration. In Gandon, Fabien; Sabou, Marta; Sack, Harald; d’Amato, Claudia; Cudré-Mauroux, Philippe & Zimmermann, Antoine (Ed.), The Semantic Web. Latest Advances and New Domains. Springer. ISSN 978-3-319-18817-1. p. 21–37. doi: 10.1007/978-3-319-18818-8_2.
• 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, p. 112–140. doi: 10.1016/j.websem.2015.03.002. Full text in Research Archive
• Skjæveland, Martin G (2015). Sgvizler: A JavaScript Wrapper for Easy Visualization of SPARQL Result Sets. In Simperl, Elena; Norton, Barry; Mladenic, Dunja; Della Valle, Emanuele; Fundulaki, Irini; Passant, Alexandre & Troncy, Raphaël (Ed.), The Semantic Web: ESWC 2012 Satellite Events. Springer. ISSN 978-3-662-46640-7. p. 361–365. doi: 10.1007/978-3-662-46641-4_27.
• Soylu, Ahmet; Skjæveland, Martin G; Giese, Martin; Horrocks, Ian; Jimenez-ruiz, Ernesto & Kharlamov, Evgeny [Show all 7 contributors for this article] (2013). A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data. In Garoufallou, Emmanouel & Greenberg, Jane (Ed.), Metadata and Semantics Research 7th Research Conference, MTSR 2013, Thessaloniki, Greece, November 19-22, 2013. Proceedings. Springer. ISSN 978-3-319-03436-2. p. 201–212. doi: 10.1007/978-3-319-03437-9_21.
• Skjæveland, Martin G; Lian, Espen Hallenstvedt & Horrocks, Ian (2013). Publishing the Norwegian Petroleum Directorate's FactPages as Semantic Web Data. In Alani, Harith; Kagal, Lalana; Fokoue, Achille; Groth, Paul; Biemann, Christian; Parreira, Josiane; Aroyo, Lora; Noy, Natasha; Welty, Chris & Janowicz, Krzysztof (Ed.), The Semantic Web – ISWC 2013 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II. Springer. ISSN 978-3-642-41337-7. p. 162–177. doi: 10.1007/978-3-642-41338-4_11.
• Skjæveland, Martin G & Lian, Espen Hallenstvedt (2013). Benefits of Publishing the Norwegian Petroleum Directorate's FactPages as Linked Open Data. In Tøssebro, Erlend & Meling, Hein (Ed.), Norsk informatikkonferanse NIK 2013, Universitetet i Stavanger, 18. - 20.november 2013. Akademika forlag. ISSN 978-82-321-0365-2. p. 52–63.
• Stolpe, Audun & Skjæveland, Martin G (2012). Preserving Information Content in RDF using Bounded Homomorphisms. In Simperl, Elena; Cimiano, Philipp; Polleres, Axel; Corcho, Oscar & Presutti, Valentina (Ed.), The Semantic Web: Research and Applications. Springer. ISSN 978-3-642-30283-1. p. 72–86. doi: 10.1007/978-3-642-30284-8_12.
• 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, Norsk Informatikkonferanse NIK 2011. Tapir Akademisk Forlag. ISSN 978-82-519-2843-4. p. 13–24.

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• Blomqvist, Eva; Hahmann, Torsten; Hammar, Karl; Hitzler, Pascal; Hoekstra, Rinke & Mutharaju, Raghava [Show all 12 contributors for this article] (2021). Advances in Pattern-Based Ontology Engineering. IOS Press. ISBN 978-1-64368-174-0. 395 p. Show summary

  Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.

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• Skjæveland, Martin G; Slaughter, Laura Ann & Kindermann, Christian (2022). OntoCommons D4.3 - Report on Landscape Analysis of Ontology Engineering Tools EU project. EU ONTO Commons Grant Agreement no. 958371. .
• Skjæveland, Martin G & Kindermann, Christian (2022). Concrete Names for Complex Expressions in Ontologies: A Case Study on SNOMED CT. CEUR-WS-org.Vol.3257- Paper 12.
• Blomqvist, Eva; Hahmann, Torsten; Hammar, Karl; Hitzler, Pascal; Hoekstra, Rinke & Mutharaju, Raghava [Show all 12 contributors for this article] (2021). Preface. Studies in Health Technology and Informatics. ISSN 0926-9630. 279, p. V–VI.
• 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.
• 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.
• Cameron, David B.; Waaler, Arild; Skjæveland, Martin G; Gjerver, Anders & Hansen, Christian Mahesh (2019). The Whole Plant Digital Twin: What Can Semantic Technologies Contribute?
• 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 [Show all 7 contributors for this article] (2016). Optique: Simple, Oil & Gas-oriented access to big data in exploration.
• Kharlamov, Evgeny; Giese, Martin; Jimenez-ruiz, Ernesto; Skjæveland, Martin G; Soylu, Ahmet & Zheleznyakov, Dmitriy [Show all 21 contributors for this article] (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.
• Stolpe, Audun & Skjæveland, Martin G (2011). Conservative repurposing of public sector data. A first foray.
• Stolpe, Audun & Skjæveland, Martin G (2011). Conservative Repurposing of RDF Data.
• Skjæveland, Martin G (2015). Engineering Semantic Data. Akademika forlag. ISSN 1501-7710.
• Skjæveland, Martin G & Stolpe, Audun (2012). Bounded RDF Data Transformations. DUO. Full text in Research Archive

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