Vidar Norstein Klungre

• Kamburjan, Eduard; Klungre, Vidar Norstein; Tapia Tarifa, Silvia Lizeth; Schlatte, Rudolf; Giese, Martin & Cameron, David B. [Show all 7 contributors for this article] (2023). Emerging Challenges in Compositionality and Correctness for Digital Twins. CEUR Workshop Proceedings. ISSN 1613-0073. 3507. Full text in Research Archive
• Kamburjan, Eduard; Klungre, Vidar Norstein & Giese, Martin (2022). Never Mind the Semantic Gap: Modular, Lazy and Safe Loading of RDF Data. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13261. doi: 10.1007/978-3-031-06981-9_12.
• Kamburjan, Eduard; Klungre, Vidar Norstein; Schlatte, Rudolf; Tapia Tarifa, Silvia Lizeth; Cameron, David & Johnsen, Einar Broch (2022). Digital Twin Reconfiguration Using Asset Models. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 13704, p. 71–88. doi: 10.1007/978-3-031-19762-8_6.
• 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), p. 361–392. doi: 10.1007/s00354-019-00071-1. Full text in Research Archive
• Klungre, Vidar Norstein; Soylu, Ahmet; Giese, Martin; Waaler, Arild & Kharlamov, Evgeny (2018). On Enhancing Visual Query Building over KGs Using Query Logs. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11341, p. 77–85. doi: 10.1007/978-3-030-04284-4_6. Full text in Research Archive Show summary

  Knowledge Graphs have recently gained a lot of attention and have been successfully applied in both academia and industry. Since KGs may be very large: they may contain millions of entities and triples relating them to each other, to classes, and assigning them data values, it is important to provide endusers with effective tools to explore information encapsulated in KGs. In this work we present a visual query system that allows users to explore KGs by intuitively constructing tree-shaped conjunctive queries. It is known that systems of this kind suffer from the problem of information overflow: when constructing a query the users have to iteratively choose from a potentially very long list of options, sich as, entities, classes, and data values, where each such choice corresponds to an extension of the query new filters. In order to address this problem we propose an approach to substantially reduce such lists with the help of ranking and by eliminating the so-called deadends, options that yield queries with no answers over a given KG.

• Klungre, Vidar Norstein & Giese, Martin (2018). Evaluating a Faceted Search Index for Graph Data. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11230 LNCS, p. 573–583. doi: 10.1007/978-3-030-02671-4_36. Full text in Research Archive
• Klungre, Vidar Norstein & Giese, Martin (2018). Approximating Faceted Search for Graph Queries. CEUR Workshop Proceedings. ISSN 1613-0073. p. 61–76.
• Klungre, Vidar Norstein & Giese, Martin (2017). A Faceted Search Index for OptiqueVQS. CEUR Workshop Proceedings. ISSN 1613-0073.
• Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Schlatte, Rudolf & Neuenstadt, Christian [Show all 11 contributors for this article] (2016). Ontology-based visual querying with OptiqueVQS: Statoil and Siemens cases. CEUR Workshop Proceedings. ISSN 1613-0073. 1818, p. 34–39.
• 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.

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• Soylu, Ahmet; Giese, Martin; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Schlatte, Rudolf & Neuenstadt, Christian [Show all 11 contributors for this article] (2016). Ontology-based Visual Querying with OptiqueVQS: Statoil and Siemens Cases. CEUR Workshop Proceedings. ISSN 1613-0073. 1818.
• Kamburjan, Eduard; Klungre, Vidar Norstein & Giese, Martin (2022). Never Mind the Semantic Gap: Modular, Lazy and Safe Loading of RDF Data (Full Paper). Universitetet i Oslo. ISSN 978-82-7368-602-2. Full text in Research Archive
• Kamburjan, Eduard; Klungre, Vidar; Schlatte, Rudolf; Johnsen, Einar Broch & Giese, Martin (2021). Programming and Debugging with Semantically Lifted States (Full Paper). Springer. ISSN 978-82-7368-464-6. Full text in Research Archive
• Klungre, Vidar Norstein (2017). A Faceted Search Index for Graph Queries. Universitetet i Oslo. Full text in Research Archive

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