{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/fe41ae7ff5ecc301258aa57e5a19d740/diglezakis", "tags" : [ "forschungsdaten","tools","visualization" ], "intraHash" : "fe41ae7ff5ecc301258aa57e5a19d740", "label" : "Datasette: An open source multi-tool for exploring and publishing data", "user" : "diglezakis", "description" : "", "date" : "2021-02-06 16:48:15", "changeDate" : "2021-02-06 15:48:15", "count" : 1, "url" : "https://datasette.io/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/842088338579109ca8ac7620d7d60bf2/diglezakis", "tags" : [ "forschungsdaten","tool","visualization" ], "intraHash" : "842088338579109ca8ac7620d7d60bf2", "label" : "About | RAWGraphs", "user" : "diglezakis", "description" : "Online data visualisation tool", "date" : "2021-02-06 16:26:44", "changeDate" : "2021-02-06 15:26:44", "count" : 1, "url" : "https://rawgraphs.io/about" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/02b8ee917bacbba881c9fd691278643a/diglezakis", "tags" : [ "bigdata","forschungsdaten","tools","visualization","wiki" ], "intraHash" : "02b8ee917bacbba881c9fd691278643a", "label" : "Community Wiki Home - Pentaho Community - Pentaho Wiki", "user" : "diglezakis", "description" : "", "date" : "2018-07-30 08:44:11", "changeDate" : "2018-07-30 06:44:11", "count" : 1, "url" : "https://wiki.pentaho.com/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/750641cf82027b8a3d0e59721f70a75e/diglezakis", "tags" : [ "bigdata","forschungsdaten","tools","visualization" ], "intraHash" : "750641cf82027b8a3d0e59721f70a75e", "label" : "Hitachi Vantara | Pentaho download | SourceForge.net", "user" : "diglezakis", "description" : "Download Hitachi Vantara | Pentaho for free. Easy-to-Use business intelligence (BI) for all. Pentaho tightly couples data integration with business analytics in a modern platform that brings together IT and business users to easily access, visualize and explore all data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise in the cloud or on-the-go (mobile).", "date" : "2018-07-30 08:42:51", "changeDate" : "2018-07-30 06:42:51", "count" : 1, "url" : "https://sourceforge.net/projects/pentaho/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/ffb7039572eefbb79ebc3fcbffe04dac/diglezakis", "tags" : [ "echtzeitdaten","forschungsdaten","monitoring","tools","visualization" ], "intraHash" : "ffb7039572eefbb79ebc3fcbffe04dac", "label" : "Grafana - The open platform for analytics and monitoring", "user" : "diglezakis", "description" : "Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases", "date" : "2018-07-26 08:42:27", "changeDate" : "2018-07-26 06:46:48", "count" : 1, "url" : "https://grafana.com/" } , { "type" : "Bookmark", "id" : "https://puma.ub.uni-stuttgart.de/url/262cddae8fe6f5d70ee99c2c8ba8ec87/diglezakis", "tags" : [ "metadata","provenance","visualization" ], "intraHash" : "262cddae8fe6f5d70ee99c2c8ba8ec87", "label" : "PROV Provenance Visualizer", "user" : "diglezakis", "description" : "erzeugt ein Sankey-Diagramm aus PROV-Graphen", "date" : "2018-07-12 10:07:11", "changeDate" : "2018-07-12 08:07:11", "count" : 1, "url" : "http://provoviz.org/#" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2f657b5a47f78b986fc276d9d37bfd29d/iew_homepage", "tags" : [ "Current_control","Fault_diagnosis","Fault_tolerance","Fault_tolerant_systems","Standards","Synchronous_Machines","Torque_measurement","Total_harmonic_distortion","Visualization","Voltage_control","Voltage_source_inverters","hp_iew","open-switch_faults","permanent-magnet_synchronous_machines","reliability" ], "intraHash" : "f657b5a47f78b986fc276d9d37bfd29d", "interHash" : "c9c2eb76ed888ff832566311e2ff739f", "label" : "Analysis and Fault-Tolerant Control of Permanent-Magnet Synchronous Machines under Multiple Open-Switch Converter Faults", "user" : "iew_homepage", "description" : "", "date" : "2026-04-17 09:49:16", "changeDate" : "2026-04-17 09:49:16", "count" : 1, "pub-type": "incollection", "booktitle": "IECON 2025 -- 51st Annual Conference of the IEEE Industrial Electronics Society", "year": "2025", "url": "", "author": [ "Urs Pecha","Nejila Parspour" ], "authors": [ {"first" : "Urs", "last" : "Pecha"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "1--6","abstract": "Open-switch faults in voltage source inverters significantly affect the operation of permanent-magnet synchronous machines, especially when multiple switch faults occur simultaneously. This paper presents a comprehensive analysis of the remaining feasible voltages under different combinations of double open-switch faults. Based on this analysis, a fault-tolerant control strategy is discussed that aims to minimize torque ripple and prevent overcurrents. The presented visualization of remaining feasible voltages along with the approach for fault-tolerant control allow for a classification of fault combinations according to their impact on control performance and machine behavior, including the identification of a worst-case combination of double open-switch faults. Experimental results obtained on a laboratory test bench validate the effectiveness of the proposed control strategy and confirm the identified worst-case fault combination.", "file" : "Pecha, Parspour - Analysis and Fault-Tolerant Control:Attachments/Pecha, Parspour - Analysis and Fault-Tolerant Control.pdf:application/pdf", "doi" : "10.1109/IECON58223.2025.11221091", "bibtexKey": "PechaUrs.2025.AnalysisandFaultTolerantControl" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a79766fa35b56f51d4a1d532047e0731/franziskabecker", "tags" : [ "myown","visualization","visus:beckerfa","visus:blaschta","visus:kochsn" ], "intraHash" : "a79766fa35b56f51d4a1d532047e0731", "interHash" : "869d155060c1da10333f16dd02bb32b4", "label" : "AnnoLens: Exploration and Annotation through Lens-Based Guidance", "user" : "franziskabecker", "description" : "", "date" : "2025-09-24 15:19:38", "changeDate" : "2025-09-24 15:20:08", "count" : 1, "pub-type": "inproceedings", "booktitle": "2025 IEEE Visualization and Visual Analytics (VIS)","publisher":"IEEE", "year": "2025", "url": "", "author": [ "Franziska Becker","Steffen Koch","Tanja Blascheck" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Steffen", "last" : "Koch"}, {"first" : "Tanja", "last" : "Blascheck"} ], "bibtexKey": "becker2025annolens" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2fbcaaa08ff6ecf0d0426e098734719ad/franziskabecker", "tags" : [ "myown","visualization","visus:beckerfa","visus:blaschta" ], "intraHash" : "fbcaaa08ff6ecf0d0426e098734719ad", "interHash" : "7cf7193631979a62751b1ff179313e6e", "label" : "Playing with Knowledge: Leveraging Visualization Games for Data Validation and Inspiration", "user" : "franziskabecker", "description" : "", "date" : "2025-06-12 11:45:12", "changeDate" : "2025-06-12 11:45:12", "count" : 1, "pub-type": "article", "booktitle": "EuroVis Workshop on Visualization Play, Games, and Activities","publisher":"The Eurographics Association", "year": "2025", "url": "https://diglib.eg.org/handle/10.2312/visgames20251166", "author": [ "Franziska Becker","Rene Pascal Warnking","Tanja Blascheck" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Rene Pascal", "last" : "Warnking"}, {"first" : "Tanja", "last" : "Blascheck"} ], "abstract": "We present an approach to use visualization games for data validation and inspiration in a collaborative coding context. As part of an interactive coding system that lets coders create a tag hierarchy and tag data items, we designed multiple games that support validating that data and exploring it in a novel way. Each game has mechanics inspired by existing games and incorporates visualization and externalization to varying degrees. By playing these games, coders randomly sample the data space to pinpoint problems and find inspiration, like discovering gaps in the data or contemplating novel item-tag combinations. Game results are automatically tracked to let coders analyze their performance and find out in which cases they tend to make mistakes. Coders can also create objection notes at the end of a game to externalize insights which are accessible in other parts of the system. For example, if a coder is convinced that an item should not have a specific tag they were shown in a game, they can create an objection about this issue that all system users can see. Our games can be played with different datasets at https://arielmant0.github.io/collacode/?tab=games.", "copyright" : "Creative Commons Attribution 4.0 International", "language" : "en", "doi" : "10.2312/VISGAMES.20251166", "bibtexKey": "https://doi.org/10.2312/visgames.20251166" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d1c21fddb5267aa832f176efbbd03e0a/franziskabecker", "tags" : [ "myown","visualization","visus:beckerfa","visus:blaschta" ], "intraHash" : "d1c21fddb5267aa832f176efbbd03e0a", "interHash" : "6d9bc2234c4c35ab93f7fb5693fc0607", "label" : "Seamless Collaborative Coding with Visualization", "user" : "franziskabecker", "description" : "", "date" : "2025-06-12 11:42:44", "changeDate" : "2025-06-12 11:42:44", "count" : 1, "pub-type": "article", "publisher":"The Eurographics Association", "year": "2025", "url": "https://diglib.eg.org/handle/10.2312/evs20251083", "author": [ "Franziska Becker","Rene Pascal Warnking","Tanja Blascheck" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Rene Pascal", "last" : "Warnking"}, {"first" : "Tanja", "last" : "Blascheck"} ], "copyright" : "Creative Commons Attribution 4.0 International", "doi" : "10.2312/EVS.20251083", "bibtexKey": "https://doi.org/10.2312/evs.20251083" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a91394d96a8a34dd15a99fb4ad011ca8/franziskabecker", "tags" : [ "myown","visualization","visus:beckerfa","visus:blaschta" ], "intraHash" : "a91394d96a8a34dd15a99fb4ad011ca8", "interHash" : "c7e629f6897e714b28cf4c570abd45a5", "label" : "Beyond Entertainment: An Investigation of Externalization Design in Video Games", "user" : "franziskabecker", "description" : "", "date" : "2025-06-10 14:20:28", "changeDate" : "2025-06-10 14:20:28", "count" : 2, "pub-type": "article", "journal": "Computer Graphics Forum","publisher":"Wiley", "year": "2025", "url": "http://dx.doi.org/10.1111/cgf.70124", "author": [ "F. Becker","R. P. Warnking","H. Brückler","T. Blascheck" ], "authors": [ {"first" : "F.", "last" : "Becker"}, {"first" : "R. P.", "last" : "Warnking"}, {"first" : "H.", "last" : "Brückler"}, {"first" : "T.", "last" : "Blascheck"} ], "issn" : "1467-8659", "doi" : "10.1111/cgf.70124", "bibtexKey": "Becker_2025" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/207df060fbe500b5bb3466f07a5b6bc48/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "07df060fbe500b5bb3466f07a5b6bc48", "interHash" : "aa331e6c339ea65b6a5447e485c35ef3", "label" : "QueDI: From Knowledge Graph Querying to Data Visualization", "user" : "diglezakis", "description" : "QueDI: From Knowledge Graph Querying to Data Visualization | SpringerLink", "date" : "2024-12-06 15:08:23", "changeDate" : "2024-12-06 15:08:23", "count" : 1, "pub-type": "inproceedings", "booktitle": "Semantic Systems. In the Era of Knowledge Graphs","publisher":"Springer International Publishing","address":"Cham", "year": "2020", "url": "", "author": [ "Renato De Donato","Martina Garofalo","Delfina Malandrino","Maria Angela Pellegrino","Andrea Petta","Vittorio Scarano" ], "authors": [ {"first" : "Renato", "last" : "De Donato"}, {"first" : "Martina", "last" : "Garofalo"}, {"first" : "Delfina", "last" : "Malandrino"}, {"first" : "Maria Angela", "last" : "Pellegrino"}, {"first" : "Andrea", "last" : "Petta"}, {"first" : "Vittorio", "last" : "Scarano"} ], "editor": [ "Eva Blomqvist","Paul Groth","Victor de Boer","Tassilo Pellegrini","Mehwish Alam","Tobias Käfer","Peter Kieseberg","Sabrina Kirrane","Albert Meroño-Peñuela","Harshvardhan J. Pandit" ], "editors": [ {"first" : "Eva", "last" : "Blomqvist"}, {"first" : "Paul", "last" : "Groth"}, {"first" : "Victor", "last" : "de Boer"}, {"first" : "Tassilo", "last" : "Pellegrini"}, {"first" : "Mehwish", "last" : "Alam"}, {"first" : "Tobias", "last" : "Käfer"}, {"first" : "Peter", "last" : "Kieseberg"}, {"first" : "Sabrina", "last" : "Kirrane"}, {"first" : "Albert", "last" : "Meroño-Peñuela"}, {"first" : "Harshvardhan J.", "last" : "Pandit"} ], "pages": "70--86","abstract": "While Open Data (OD) publishers are spur in providing data as Linked Open Data (LOD) to boost innovation and knowledge creation, the complexity of RDF querying languages, such as SPARQL, threatens their exploitation. We aim to help lay users (by focusing on experts in table manipulation, such as OD experts) in querying and exploiting LOD by taking advantage of our target users' expertise in table manipulation and chart creation.", "isbn" : "978-3-030-59833-4", "bibtexKey": "10.1007/978-3-030-59833-4_5" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2801deda933893126de28b597d97551b3/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "801deda933893126de28b597d97551b3", "interHash" : "ec3f108c32ef5a5004ab52ff4972b2cf", "label" : "Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology", "user" : "diglezakis", "description" : "Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology | BMC Medical Informatics and Decision Making", "date" : "2024-12-06 15:05:54", "changeDate" : "2024-12-06 15:05:54", "count" : 1, "pub-type": "article", "journal": "BMC Medical Informatics and Decision Making", "year": "2022", "url": "https://doi.org/10.1186/s12911-022-01848-z", "author": [ "Jacqueline Peng","David Xu","Ryan Lee","Siwei Xu","Yunyun Zhou","Kai Wang" ], "authors": [ {"first" : "Jacqueline", "last" : "Peng"}, {"first" : "David", "last" : "Xu"}, {"first" : "Ryan", "last" : "Lee"}, {"first" : "Siwei", "last" : "Xu"}, {"first" : "Yunyun", "last" : "Zhou"}, {"first" : "Kai", "last" : "Wang"} ], "volume": "22","number": "2","pages": "147","abstract": "Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream tasks such as link prediction and question answering. However, there is a lack of computational tools or web frameworks to support the exploration and visualization of the KG themselves, which would facilitate interactive knowledge discovery and formulation of novel biological hypotheses.", "issn" : "1472-6947", "doi" : "10.1186/s12911-022-01848-z", "bibtexKey": "Peng2022" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/20eaa007129732f6a1bb5a6343c3b3672/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "0eaa007129732f6a1bb5a6343c3b3672", "interHash" : "d00ae27590c0d416351002960b12fda4", "label" : "Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities", "user" : "diglezakis", "description" : "Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities | IEEE Journals & Magazine | IEEE Xplore", "date" : "2024-12-06 14:30:01", "changeDate" : "2024-12-06 14:30:01", "count" : 1, "pub-type": "article", "journal": "IEEE Transactions on Visualization and Computer Graphics", "year": "2024", "url": "", "author": [ "Harry Li","Gabriel Appleby","Camelia Daniela Brumar","Remco Chang","Ashley Suh" ], "authors": [ {"first" : "Harry", "last" : "Li"}, {"first" : "Gabriel", "last" : "Appleby"}, {"first" : "Camelia Daniela", "last" : "Brumar"}, {"first" : "Remco", "last" : "Chang"}, {"first" : "Ashley", "last" : "Suh"} ], "volume": "30","number": "1","pages": "584-594","abstract": "This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Through this study, we identify critical challenges experienced by KG practitioners when creating, exploring, and analyzing KGs that could be alleviated through visualization design. Our findings reveal three major personas among KG practitioners \u2013 KG Builders, Analysts, and Consumers \u2013 each of whom have their own distinct expertise and needs. We discover that KG Builders would benefit from schema enforcers, while KG Analysts need customizable query builders that provide interim query results. For KG Consumers, we identify a lack of efficacy for node-link diagrams, and the need for tailored domain-specific visualizations to promote KG adoption and comprehension. Lastly, we find that implementing KGs effectively in practice requires both technical and social solutions that are not addressed with current tools, technologies, and collaborative workflows. From the analysis of our interviews, we distill several visualization research directions to improve KG usability, including knowledge cards that balance digestibility and discoverability, timeline views to track temporal changes, interfaces that support organic discovery, and semantic explanations for AI and machine learning predictions.", "issn" : "1941-0506", "doi" : "10.1109/TVCG.2023.3326904", "bibtexKey": "10360419" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2ba54b710ac9b8984b3594c973b4a7563/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "ba54b710ac9b8984b3594c973b4a7563", "interHash" : "28795cd0ac754c744efb4ce2842b4af6", "label" : "KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations", "user" : "diglezakis", "description" : "KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations | IEEE Conference Publication | IEEE Xplore", "date" : "2024-12-06 14:18:30", "changeDate" : "2024-12-06 14:18:30", "count" : 1, "pub-type": "inproceedings", "booktitle": "2024 IEEE 17th Pacific Visualization Conference (PacificVis)", "year": "2024", "url": "", "author": [ "Yamei Tu","Rui Qiu","Han-Wei Shen" ], "authors": [ {"first" : "Yamei", "last" : "Tu"}, {"first" : "Rui", "last" : "Qiu"}, {"first" : "Han-Wei", "last" : "Shen"} ], "pages": "162-171","abstract": "IEEE Transactions on Visualization and Computer Graphics (TVCG) publishes cutting-edge research in the fields of visualization, computer graphics, and virtual and augmented realities. Within the TVCG ecosystem, different stakeholders make decisions based on available information related to TVCG almost on a daily basis. The decisions involve various tasks such as the retrieval of research ideas and trends, the invitation of peer reviewers, and the selection of editorial board members, just to name a few. To make well-informed decisions in these contexts, a data-driven approach is necessary. However, the current IEEE digital library only provides access to individual papers. Transforming this wealth of data into valuable insights is a daunting task, requiring specialized expertise and effort in tasks such as data crawling, cleaning, analysis, and visualizations. To address the needs of the community in facilitating more efficient and transparent decision-making, we construct and publicly release a TVCG knowledge graph (TVCG-KG). TVCG-KG is a structured representation of heterogeneous information, including the metadata of each publication such as author, affiliation, title, and semantic information such as method, task, data. Despite the widespread use of KGs in various downstream applications, a noticeable gap exists in the visualization literature regarding the full exploitation of the rich semantics embedded within KGs. While it might seem intuitive to just employ interactive graph-based visualization for KGs, we propose that knowledge discovery over KG is a series of visual exploratory tasks that can benefit from using multiple visualization techniques and designs. We conducted an evaluation of TVCG-KG quality and demonstrated its practical utility through several real-world cases. Our data and code are accessible via the following URL: https://github.com/yasmineTYM/TVCG-KG.git.", "issn" : "2165-8773", "doi" : "10.1109/PacificVis60374.2024.00026", "bibtexKey": "10541586" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2b2d9c12ca9bfcf955806b8451d0b8153/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "b2d9c12ca9bfcf955806b8451d0b8153", "interHash" : "b278af064d677aca79f6ea61a9f17328", "label" : "KG Explorer: a Customisable Exploration Tool for Knowledge Graphs", "user" : "diglezakis", "description" : "KG Explorer: a Customisable Exploration Tool for Knowledge Graphs - Archive ouverte HAL", "date" : "2024-12-06 14:14:25", "changeDate" : "2024-12-06 14:14:25", "count" : 1, "pub-type": "misc", "year": "2021", "url": "https://hal.science/hal-03554602", "author": [ "Thibault Ehrhart","Pasquale Lisena","Raphaël Troncy" ], "authors": [ {"first" : "Thibault", "last" : "Ehrhart"}, {"first" : "Pasquale", "last" : "Lisena"}, {"first" : "Raphaël", "last" : "Troncy"} ], "abstract": "The growing adoption of Knowledge Graphs demands new applications which enable users to search and browse structured data in a suitable way depending on the domain. In this paper, we introduce KG Explorer, a web-based exploratory search engine for RDF-based Knowledge Graphs. The software can be configured in order to adapt to different information domains, customising both the UI components and the queries made for retrieving the information. It also includes features such as full-text search, facet-based advanced search, and the possibility to create lists of favourites items modelled in the knowledge graph.", "id" : "https://hal.science/hal-03554602, hal-03554602, https://hal.science/hal-03554602/document", "bibtexKey": "ehrhart2021explorer" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2612910a6f41d62f6a4c443a42fd307f8/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "612910a6f41d62f6a4c443a42fd307f8", "interHash" : "ea48f6c544ff8c4d2b328be0e9945eb5", "label" : "RDF data exploration and visualization", "user" : "diglezakis", "description" : "RDF data exploration and visualization | Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience", "date" : "2024-12-06 14:11:50", "changeDate" : "2024-12-06 14:11:50", "count" : 2, "pub-type": "inproceedings", "booktitle": "Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience","series": "CIMS '07","publisher":"Association for Computing Machinery","address":"New York, NY, USA", "year": "2007", "url": "https://doi.org/10.1145/1317353.1317362", "author": [ "Leonidas Deligiannidis","Krys J. Kochut","Amit P. Sheth" ], "authors": [ {"first" : "Leonidas", "last" : "Deligiannidis"}, {"first" : "Krys J.", "last" : "Kochut"}, {"first" : "Amit P.", "last" : "Sheth"} ], "pages": "39\u201346","abstract": "We present Paged Graph Visualization (PGV), a new semi-autonomous tool for RDF data exploration and visualization. PGV consists of two main components: a) the \"PGV explorer\" and b) the \"RDF pager\" module utilizing BRAHMS, our high per-formance main-memory RDF storage system. Unlike existing graph visualization techniques which attempt to display the entire graph and then filter out irrelevant data, PGV begins with a small graph and provides the tools to incrementally explore and visualize relevant data of very large RDF ontologies. We implemented several techniques to visualize and explore hot spots in the graph, i.e. nodes with large numbers of immediate neighbors. In response to the user-controlled, semantics-driven direction of the exploration, the PGV explorer obtains the necessary sub-graphs from the RDF pager and enables their incremental visualization leaving the previously laid out sub-graphs intact. We outline the problem of visualizing large RDF data sets, discuss our interface and its implementation, and through a controlled experiment we show the benefits of PGV.", "isbn" : "9781595938312", "location" : "Lisbon, Portugal", "doi" : "10.1145/1317353.1317362", "bibtexKey": "Deligiannidis2007" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/28c4b4ac9448b97d34ebde2e83e4c7603/diglezakis", "tags" : [ "knowledgegraph","visualization" ], "intraHash" : "8c4b4ac9448b97d34ebde2e83e4c7603", "interHash" : "ff1606d5ec0424f68250df8bf50ce50f", "label" : "KGScope: Interactive Visual Exploration of Knowledge Graphs With Embedding-Based Guidance", "user" : "diglezakis", "description" : "KGScope: Interactive Visual Exploration of Knowledge Graphs With Embedding-Based Guidance | IEEE Journals & Magazine | IEEE Xplore", "date" : "2024-12-06 14:07:49", "changeDate" : "2024-12-06 14:07:49", "count" : 1, "pub-type": "article", "journal": "IEEE Transactions on Visualization and Computer Graphics", "year": "2024", "url": "", "author": [ "Chao-Wen Hsuan Yuan","Tzu-Wei Yu","Jia-Yu Pan","Wen-Chieh Lin" ], "authors": [ {"first" : "Chao-Wen", "last" : "Hsuan Yuan"}, {"first" : "Tzu-Wei", "last" : "Yu"}, {"first" : "Jia-Yu", "last" : "Pan"}, {"first" : "Wen-Chieh", "last" : "Lin"} ], "volume": "30","number": "12","pages": "7702-7716","abstract": "Knowledge graphs have been commonly used to represent relationships between entities and are utilized in the industry to enhance service qualities. As knowledge graphs integrate data from a variety of sources, they can also be useful references for data analysts. However, there is a lack of effective tools to make the most of the rich information in knowledge graphs. Existing knowledge graph exploration systems are ineffective because they did not consider various user needs and characteristics of knowledge graphs. Exploratory approaches specifically designed to uncover and summarize insights in knowledge graphs have not been well studied yet. In this article, we propose KGScope that supports interactive visual explorations and provides embedding-based guidance to derive insights from knowledge graphs. We demonstrate KGScope with usage scenarios and assess its efficacy in supporting the exploration of knowledge graphs with a user study. The results show that KGScope supports knowledge graph exploration effectively by providing useful information and helping explore the entire network.", "issn" : "1941-0506", "doi" : "10.1109/TVCG.2024.3360690", "bibtexKey": "10418108" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/209f16e8fe25f861e62651d003b10cb6c/diglezakis", "tags" : [ "knowledgegraph","tools","visualization" ], "intraHash" : "09f16e8fe25f861e62651d003b10cb6c", "interHash" : "b8943f68661a4ae10db86dcb925d6494", "label" : "Knowledge Graph Visualization: Challenges, Framework, and Implementation", "user" : "diglezakis", "description" : "Knowledge Graph Visualization: Challenges, Framework, and Implementation | IEEE Conference Publication | IEEE Xplore", "date" : "2024-12-06 13:34:57", "changeDate" : "2024-12-06 13:36:28", "count" : 1, "pub-type": "inproceedings", "booktitle": "2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)", "year": "2020", "url": "", "author": [ "Rungsiman Nararatwong","Natthawut Kertkeidkachorn","Ryutaro Ichise" ], "authors": [ {"first" : "Rungsiman", "last" : "Nararatwong"}, {"first" : "Natthawut", "last" : "Kertkeidkachorn"}, {"first" : "Ryutaro", "last" : "Ichise"} ], "pages": "174-178","abstract": "A knowledge graph (KG) is a rich resource representing real-world facts. Visualizing a knowledge graph helps humans gain a deep understanding of the facts, leading to new insights and concepts. However, the massive and complex nature of knowledge graphs has brought many longstanding challenges, especially to attract non-expert users. This paper discusses these challenges; we turned them into a generic knowledge-graph visualization framework, namely KGViz, consisting of four dimensions: modularity, intuitive user interface, performance, and access control. Our implementation of KGViz is a high-capacity, extendable, and scalable KG visualizer, which we designed to promotes community contributions.", "doi" : "10.1109/AIKE48582.2020.00034", "bibtexKey": "9355442" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/249d75e0a74bee84a23fe0e3abbc6b399/hcics", "tags" : [ "Context","hcics","vis","Context-aware","Pervasive","Sensors,","Visualization","bioinformatics,","cognition,","cognition-aware","computing,","electroencephalography,","intelligent","modeling,","systems,","tracking," ], "intraHash" : "49d75e0a74bee84a23fe0e3abbc6b399", "interHash" : "67c379fef26a3c42f3c49b1a56db96c5", "label" : "Cognition-Aware Computing", "user" : "hcics", "description" : "", "date" : "2024-07-11 10:05:52", "changeDate" : "2024-07-11 10:11:36", "count" : 3, "pub-type": "article", "journal": "IEEE Pervasive Computing", "year": "2014", "url": "", "author": [ "Andreas Bulling","Thorsten O. Zander" ], "authors": [ {"first" : "Andreas", "last" : "Bulling"}, {"first" : "Thorsten O.", "last" : "Zander"} ], "volume": "13","number": "3","pages": "80-83","abstract": "Despite significant advances in context sensing and inference since its inception in the late 1990s, context-aware computing still doesn't implement a holistic view of all covert aspects of the user state. Here, the authors introduce the concept of cognitive context as an extension to the current notion of context with a cognitive dimension. They argue that visual behavior and brain activity are two promising sensing modalities for assessing the cognitive context and thus the development of cognition-aware computing systems.", "doi" : "10.1109/mprv.2014.42", "bibtexKey": "bulling14_pcm" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d2af5c67c3e65dab178fb5f0e54686d8/franziskabecker", "tags" : [ "healthcare","myown","visualization","visus:beckerfa" ], "intraHash" : "d2af5c67c3e65dab178fb5f0e54686d8", "interHash" : "0c5c85e851233096d4e02866c63fa26f", "label" : "Designing interactive visualizations for analyzing chronic lung diseases in a user-centered approach", "user" : "franziskabecker", "description" : "", "date" : "2024-07-09 10:42:05", "changeDate" : "2024-07-09 10:42:05", "count" : 2, "pub-type": "article", "journal": "Journal of the American Medical Informatics Association", "year": "2024", "url": "https://doi.org/10.1093/jamia/ocae113", "author": [ "René Warnking","Jan Scheer","Franziska Becker","Fabian Siegel","Frederik Trinkmann","Till Nagel" ], "authors": [ {"first" : "René", "last" : "Warnking"}, {"first" : "Jan", "last" : "Scheer"}, {"first" : "Franziska", "last" : "Becker"}, {"first" : "Fabian", "last" : "Siegel"}, {"first" : "Frederik", "last" : "Trinkmann"}, {"first" : "Till", "last" : "Nagel"} ], "doi" : "10.1093/jamia/ocae113", "bibtexKey": "warnking2024designing" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/262cc70a18e39a1436bbca22be5024910/franziskabecker", "tags" : [ "cybersecurity","visualization","visus:beckerfa","visus:kochsn","visus:mueller" ], "intraHash" : "62cc70a18e39a1436bbca22be5024910", "interHash" : "0f2bd295bfb88ef0ab144ac04594e83e", "label" : "VITALflow : Visual Interactive Traffic Analysis with NetFlow", "user" : "franziskabecker", "description" : "", "date" : "2024-04-04 11:02:00", "changeDate" : "2024-04-04 11:02:00", "count" : 6, "pub-type": "inproceedings", "booktitle": "NOMS 2022 : 2022 IEEE/IFIP Network Operations and Management Symposium","publisher":"IEEE","address":"Piscataway", "year": "2022", "url": "", "author": [ "Tina Tremel","Jochen Kögel","Florian Jauernig","Sebastian Meier","Dennis Thom","Franziska Becker","Christoph Müller","Steffen Koch" ], "authors": [ {"first" : "Tina", "last" : "Tremel"}, {"first" : "Jochen", "last" : "Kögel"}, {"first" : "Florian", "last" : "Jauernig"}, {"first" : "Sebastian", "last" : "Meier"}, {"first" : "Dennis", "last" : "Thom"}, {"first" : "Franziska", "last" : "Becker"}, {"first" : "Christoph", "last" : "Müller"}, {"first" : "Steffen", "last" : "Koch"} ], "venue" : "Budapest, Hungary", "isbn" : "978-1-6654-0601-7", "language" : "eng", "eventdate" : "2022-04-25/2022-04-29", "eventtitle" : "NOMS 2022 : 2022 IEEE/IFIP Network Operations and Management Symposium", "affiliation" : "Tremel, T (Corresponding Author), IsarNet Software Solut GmbH, Munich, Germany.\r\n Tremel, Tina; Koegel, Jochen; Jauernig, Florian; Meier, Sebastian, IsarNet Software Solut GmbH, Munich, Germany.\r\n Thom, Dennis; Becker, Franziska; Mueller, Christoph; Koch, Steffen, Univ Stuttgart, Stuttgart, Germany.", "unique-id" : "WOS:000851572700032", "doi" : "10.1109/NOMS54207.2022.9789776", "bibtexKey": "tremel2022vitalflow" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/27c962cd5283e3aa070839ed649f69ee8/franziskabecker", "tags" : [ "DesignStudy","VisualAnalytics","cybersecurity","sets","visualization","visus:beckerfa","visus:ertl","visus:mueller" ], "intraHash" : "7c962cd5283e3aa070839ed649f69ee8", "interHash" : "daee791594d4891d9a31bca6c3981d04", "label" : "AlertSets: Supporting Exploratory Analysis of Cybersecurity Alerts through Sets", "user" : "franziskabecker", "description" : "non-archival conference publication", "date" : "2024-03-18 16:37:00", "changeDate" : "2024-04-04 10:55:17", "count" : 6, "pub-type": "conference", "booktitle": "1st Japan Visualization Symposium (JapanVis 2024)", "year": "2024", "url": "", "author": [ "Franziska Becker","Christoph Müller","David Karpuk","Thomas Ertl" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Christoph", "last" : "Müller"}, {"first" : "David", "last" : "Karpuk"}, {"first" : "Thomas", "last" : "Ertl"} ], "abstract": "Security providers typically deal with large numbers of alerts based on heterogeneous data from many endpoint sensors. While the number of alerts is generally much smaller than the volume of raw data, most alerts are false positives that do not reflect genuinely malicious activity. All types of experts work on such alerts, be it to determine whether they are indeed false positives, to build machine learning models to support their analysis or to keep an eye on the current threat landscape. We conducted a design study to support a diverse group of experts whose working environments are connected to the same alert data. Based on an ongoing industry project that clusters vectorized alerts, we designed and evaluated a visual analytics system enabling exploration via powerful, easy-to-understand filtering mechanisms framed through set operations. In this article, we describe our system, give a detailed breakdown of the design process and the lessons we learned. Lastly, we discuss the results from expert interviews, which showed the set-based framing to align with experts\u2019 intuitive approach to data analysis and helped users uncover improvement opportunities for the clustering pipeline.", "language" : "en", "bibtexKey": "becker2024alertsets" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2437be1e711ca0c9a4f8dd99d695cc27c/franziskabecker", "tags" : [ "cybersecurity","myown","visualization","visus:beckerfa","visus:ertl","visus:mueller","visus:rapprt" ], "intraHash" : "437be1e711ca0c9a4f8dd99d695cc27c", "interHash" : "9c6eb647be65ec6480867986d6acc4e4", "label" : "Interactive Process Tree Analysis: Exploring the Behaviour of Processes with Visual Analytics for Security Operators", "user" : "franziskabecker", "description" : "Conference Poster", "date" : "2024-03-18 16:22:18", "changeDate" : "2024-04-04 10:58:38", "count" : 6, "pub-type": "conference", "booktitle": "IEEE Symposium on Visualization for Cyber Security (VizSec)","publisher":"IEEE", "year": "2021", "url": "", "author": [ "Robert-Carl Rapp","Christoph Müller","Franziska Becker","Paolo Palumbo","Thomas Ertl" ], "authors": [ {"first" : "Robert-Carl", "last" : "Rapp"}, {"first" : "Christoph", "last" : "Müller"}, {"first" : "Franziska", "last" : "Becker"}, {"first" : "Paolo", "last" : "Palumbo"}, {"first" : "Thomas", "last" : "Ertl"} ], "abstract": "Despite constant efforts to improve automation for IT security incidents, analysts are often confronted with numerous alerts and have to make sure that they do not miss the most critical of them. The analysts need to quickly decide based on a plethora of yet incomplete\r\ninformation. This information often includes a tree of parent and child processes in real-world scenarios. We present an augmented visualisation of such a process tree, which not only shows the static hierarchy as previous ones do, but also conveys the temporal relation between processes, thus allowing for investigating the hierarchy and time perspective of the process tree at the same time. Furthermore, it makes additional process-related events collected by endpoint\r\nsensors accessible for a more complete view on process behaviour.", "language" : "en", "bibtexKey": "rapp2021interactive" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/23f00417350b1d80701e168141cac96f9/franziskabecker", "tags" : [ "TimeSeries","visualization","visus:beckerfa","visus:blaschta" ], "intraHash" : "3f00417350b1d80701e168141cac96f9", "interHash" : "ec1e61b8142755512d62aaf30ba20442", "label" : "TimeSeriesMaker: Interactive Time Series Composition in No Time", "user" : "franziskabecker", "description" : "", "date" : "2024-03-18 16:15:47", "changeDate" : "2024-06-04 09:43:10", "count" : 7, "pub-type": "inproceedings", "booktitle": "2024 IEEE 17th Pacific Visualization Symposium (PacificVis)","publisher":"IEEE Computer Society", "year": "2024", "url": "", "author": [ "Franziska Becker","Tanja Blascheck" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Tanja", "last" : "Blascheck"} ], "abstract": "TimeSeriesMaker is an open-source application to visually compose time series data in an intuitive and shareable manner. Visualization researchers often use time series data in studies about perceptual or cognitive phenomena and many other contexts. However, finding or generating time series data that fits a given scenario is not always easy. Using a component-based architecture, TimeSeriesMaker allows analysts to compose time series data with complex patterns by combining different components, such as noise, a linear trend or a seasonal pattern. An interactive compositor tree of these components lets analysts explore their combinations using different operators. We support reproducibility and transparency by including functionalities that allow analysts to export and share their configuration, which others can use to reload and modify the same time series. In a qualitative online study with visualization researchers, we found that our approach enables them to create a time series based on an example image or their own requirements. However, system usability could be further improved when interacting with the compositor tree. TimeSeriesMaker can be found here: https://unistuttgart-visus.github.io/time-series-maker/.", "language" : "en", "doi" : "10.1109/PacificVis60374.2024.00042", "bibtexKey": "becker2024timeseriesmaker" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24af41c53f67a0a9089560f762e9fedd1/franziskabecker", "tags" : [ "DigitalPen","annotations","evaluation","myown","visualization","visus:beckerfa","visus:ertl" ], "intraHash" : "4af41c53f67a0a9089560f762e9fedd1", "interHash" : "ae509032ce22d0cef9dfba52c8521f7d", "label" : "Putting Annotations to the Test", "user" : "franziskabecker", "description" : "", "date" : "2024-03-18 11:22:16", "changeDate" : "2024-04-04 10:55:46", "count" : 6, "pub-type": "inproceedings", "booktitle": "EuroVis 2023 - Posters","publisher":"The Eurographics Association", "year": "2023", "url": "https://diglib.eg.org/handle/10.2312/evp20231068", "author": [ "Franziska Becker","Thomas Ertl" ], "authors": [ {"first" : "Franziska", "last" : "Becker"}, {"first" : "Thomas", "last" : "Ertl"} ], "editor": [ "Christina Gillmann","Michael Krone","Simone Lenti" ], "editors": [ {"first" : "Christina", "last" : "Gillmann"}, {"first" : "Michael", "last" : "Krone"}, {"first" : "Simone", "last" : "Lenti"} ], "copyright" : "Creative Commons Attribution 4.0 International", "isbn" : "978-3-03868-220-2", "language" : "en", "doi" : "10.2312/EVP.20231068", "bibtexKey": "https://doi.org/10.2312/evp.20231068" } ] }