Auswahl der wissenschaftlichen Literatur zum Thema „Knowledge graph creation and curation“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Knowledge graph creation and curation" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Knowledge graph creation and curation"
Debruyne, Christophe, Gary Munnelly, Lynn Kilgallon, Declan O’Sullivan und Peter Crooks. „Creating a Knowledge Graph for Ireland’s Lost History: Knowledge Engineering and Curation in the Beyond 2022 Project“. Journal on Computing and Cultural Heritage 15, Nr. 2 (30.06.2022): 1–25. http://dx.doi.org/10.1145/3474829.
Der volle Inhalt der QuelleWeikum, Gerhard, Xin Luna Dong, Simon Razniewski und Fabian Suchanek. „Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases“. Foundations and Trends® in Databases 10, Nr. 2-4 (2021): 108–490. http://dx.doi.org/10.1561/1900000064.
Der volle Inhalt der QuelleStocker, Markus, Allard Oelen, Mohamad Yaser Jaradeh, Muhammad Haris, Omar Arab Oghli, Golsa Heidari, Hassan Hussein et al. „FAIR scientific information with the Open Research Knowledge Graph“. FAIR Connect 1, Nr. 1 (11.01.2023): 19–21. http://dx.doi.org/10.3233/fc-221513.
Der volle Inhalt der QuelleSchwartz, David, und Dov Te'eni. „AI for Knowledge Creation, Curation, and Consumption in Context“. Journal of the Association for Information Systems 25, Nr. 1 (2024): 37–47. http://dx.doi.org/10.17705/1jais.00862.
Der volle Inhalt der QuelleMalik, Khalid Mahmood, Madan Krishnamurthy, Mazen Alobaidi, Maqbool Hussain, Fakhare Alam und Ghaus Malik. „Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype“. Expert Systems with Applications 145 (Mai 2020): 113120. http://dx.doi.org/10.1016/j.eswa.2019.113120.
Der volle Inhalt der QuelleKhan, Arijit. „Knowledge Graphs Querying“. ACM SIGMOD Record 52, Nr. 2 (10.08.2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.
Der volle Inhalt der QuelleCroset, Samuel, Joachim Rupp und Martin Romacker. „Flexible data integration and curation using a graph-based approach“. Bioinformatics 32, Nr. 6 (10.11.2015): 918–25. http://dx.doi.org/10.1093/bioinformatics/btv644.
Der volle Inhalt der QuelleAbueed, Raed A. I., und Mehmet Aga. „Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?“ Sustainability 11, Nr. 20 (10.10.2019): 5575. http://dx.doi.org/10.3390/su11205575.
Der volle Inhalt der QuelleLuttmer, Janosch, Mostafa Kandel, Dominik Ehring und Arun Nagarajah. „Automatic knowledge graph creation from engineering standards using the example of formulas“. Proceedings of the Design Society 4 (Mai 2024): 423–32. http://dx.doi.org/10.1017/pds.2024.45.
Der volle Inhalt der QuelleQin, Pengda, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu und William Yang Wang. „Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs“. Proceedings of the AAAI Conference on Artificial Intelligence 34, Nr. 05 (03.04.2020): 8673–80. http://dx.doi.org/10.1609/aaai.v34i05.6392.
Der volle Inhalt der QuelleDissertationen zum Thema "Knowledge graph creation and curation"
Ahmadi, Naser. „A framework for the continuous curation of a knowledge base system“. Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS320.
Der volle Inhalt der QuelleEntity-centric knowledge graphs (KGs) are becoming increasingly popular for gathering information about entities. The schemas of KGs are semantically rich, with many different types and predicates to define the entities and their relationships. These KGs contain knowledge that requires understanding of the KG’s structure and patterns to be exploited. Their rich data structure can express entities with semantic types and relationships, oftentimes domain-specific, that must be made explicit and understood to get the most out of the data. Although different applications can benefit from such rich structure, this comes at a price. A significant challenge with KGs is the quality of their data. Without high-quality data, the applications cannot use the KG. However, as a result of the automatic creation and update of KGs, there are a lot of noisy and inconsistent data in them and, because of the large number of triples in a KG, manual validation is impossible. In this thesis, we present different tools that can be utilized in the process of continuous creation and curation of KGs. We first present an approach designed to create a KG in the accounting field by matching entities. We then introduce methods for the continuous curation of KGs. We present an algorithm for conditional rule mining and apply it on large graphs. Next, we describe RuleHub, an extensible corpus of rules for public KGs which provides functionalities for the archival and the retrieval of rules. We also report methods for using logical rules in two different applications: teaching soft rules to pre-trained language models (RuleBert) and explainable fact checking (ExpClaim)
Oshurko, Ievgeniia. „Knowledge representation and curation in hierarchies of graphs“. Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN024.
Der volle Inhalt der QuelleThe task of automatically extracting insights or building computational models fromknowledge on complex systems greatly relies on the choice of appropriate representation.This work makes an effort towards building a framework suitable for representation offragmented knowledge on complex systems and its semi-automated curation---continuouscollation, integration, annotation and revision.We propose a knowledge representation system based on hierarchies of graphs relatedwith graph homomorphisms. Individual graphs situated in such hierarchies representdistinct fragments of knowledge and the homomorphisms allow relating these fragments.Their graphical structure can be used efficiently to express entities and their relations. Wefocus on the design of mathematical mechanisms, based on algebraic approaches to graphrewriting, for transformation of individual graphs in hierarchies that maintain consistentrelations between them. Such mechanisms provide a transparent audit trail, as well as aninfrastructure for maintaining multiple versions of knowledge.We describe how the developed theory can be used for building schema-aware graphdatabases that provide schema-data co-evolution capabilities. The proposed knowledgerepresentation framework is used to build the KAMI (Knowledge Aggregation and ModelInstantiation) framework for curation of cellular signalling knowledge. The frameworkallows for semi-automated aggregation of individual facts on protein-protein interactionsinto knowledge corpora, reuse of this knowledge for instantiation of signalling models indifferent cellular contexts and generation of executable rule-based models
Bücher zum Thema "Knowledge graph creation and curation"
de, Moor Aldo, Lex Wilfried und Ganter Bernhard, Hrsg. Conceptual structures for knowledge creation and communication: 11th International Conference on Conceptual Structures, ICCS 2003, Dresden, Germany, July 21-25, 2003 : proceedings. Berlin: Springer, 2003.
Den vollen Inhalt der Quelle findenMachine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Now Publishers, 2021.
Den vollen Inhalt der Quelle finden(Editor), Aldo de Moor, Wilfried Lex (Editor) und Bernhard Ganter (Editor), Hrsg. Conceptual Structures for Knowledge Creation and Communication: 11th International Conference on Conceptual Structures, ICCS 2003, Dresden, Germany, July ... (Lecture Notes in Computer Science). Springer, 2003.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Knowledge graph creation and curation"
Georgoudi, Amalia, Nikolaos Stylianou, Ioannis Konstantinidis, Georgios Meditskos, Thanassis Mavropoulos, Stefanos Vrochidis und Nick Bassiliades. „Towards Knowledge Graph Creation from Greek Governmental Documents“. In Advances and Trends in Artificial Intelligence. Theory and Applications, 294–99. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36819-6_26.
Der volle Inhalt der QuelleVinasco-Alvarez, Diego. „Leveraging Standards in Model-Centric Geospatial Knowledge Graph Creation“. In The Semantic Web: ESWC 2022 Satellite Events, 224–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11609-4_37.
Der volle Inhalt der QuelleShinde, Shreya, Shubhangi Gaherwar, Avani Sathe, Malvika Menon und Sheetal Barekar. „Creation of Knowledge Graph for Client Complaint Management System“. In Data Management, Analytics and Innovation, 31–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2934-1_2.
Der volle Inhalt der QuelleLodhi, Aminah Bilal, Muhammad Abdullah Bilal, Hafiz Syed Muhammad Bilal, Kifayat Ullah Khan, Fahad Ahmed Satti, Shah Khalid und Sungyoung Lee. „PNRG: Knowledge Graph-Driven Methodology for Personalized Nutritional Recommendation Generation“. In Digital Health Transformation, Smart Ageing, and Managing Disability, 230–38. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43950-6_20.
Der volle Inhalt der QuelleJozashoori, Samaneh, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal und Oscar Corcho. „FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation“. In Lecture Notes in Computer Science, 276–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62419-4_16.
Der volle Inhalt der QuelleDe Donato, Renato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta und Vittorio Scarano. „QueDI: From Knowledge Graph Querying to Data Visualization“. In Semantic Systems. In the Era of Knowledge Graphs, 70–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59833-4_5.
Der volle Inhalt der QuelleJozashoori, Samaneh, und Maria-Esther Vidal. „MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation“. In Lecture Notes in Computer Science, 58–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33246-4_4.
Der volle Inhalt der QuelleJozashoori, Samaneh, Tatiana Novikova und Maria-Esther Vidal. „Poster Paper Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale“. In Lecture Notes in Computer Science, 91–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-06016-9_9.
Der volle Inhalt der QuelleHasida, Kôiti. „Personal AI to Maximize the Value of Personal Data while Defending Human Rights and Democracy“. In Knowledge and Digital Technology, 239–56. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39101-9_13.
Der volle Inhalt der QuelleSrivani, M., Abirami Murugappan und T. Mala. „MathKnowTopic: Creation of a Unified Knowledge Graph-Based Topic Modeling from Mathematical Text Books“. In Innovations in Computational Intelligence and Computer Vision, 619–33. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2602-2_47.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Knowledge graph creation and curation"
Huaman, Elwin, und Dieter Fensel. „Knowledge Graph Curation: A Practical Framework“. In IJCKG'21: The 10th International Joint Conference on Knowledge Graphs. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3502223.3502247.
Der volle Inhalt der QuelleLakshmi, Vaibhava R., Gerard Deepak, A. Santhanavijayan und S. Radha. „Knowledge Graph Curation from Text Via Ontologies“. In 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2022. http://dx.doi.org/10.1109/icaiss55157.2022.10010816.
Der volle Inhalt der QuelleBerti-Equille, Laure. „ML-Based Knowledge Graph Curation: Current Solutions and Challenges“. In WWW '19: The Web Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308560.3316522.
Der volle Inhalt der QuelleKalla, Aparna, R. Shailesh, S. Preetha, Snehal Chandra und Sudeepa Roy. „Scientific Knowledge Graph Creation and Analysis“. In 2023 IEEE 8th International Conference for Convergence in Technology (I2CT). IEEE, 2023. http://dx.doi.org/10.1109/i2ct57861.2023.10126238.
Der volle Inhalt der QuelleShinde, Omkar, und Anish Khobragade. „Knowledge Graph creation on Windows malwares and completion using knowledge graph embedding“. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2022. http://dx.doi.org/10.1109/icac3n56670.2022.10074567.
Der volle Inhalt der QuelleKhalid, Mutahira, Hasan Ali Khattak, Arsalan Ahmad und Syed Ahmad Chan Bukhari. „Explainable Prediction of Medical Codes through Automated Knowledge Graph Curation Framework“. In 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2022. http://dx.doi.org/10.1109/ibcast54850.2022.9990551.
Der volle Inhalt der QuelleAjmani, Leah, Mo Houtti, Jasmine C. Foriest, Michael Ann Devito, Nicholas Vincent und Isaac Johnson. „Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications“. In CSCW '23: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3584931.3611280.
Der volle Inhalt der QuelleM, Arun Kumar, Harsha Prada S, Caroline Dorathy Esther J, Sabareshwaran M. T und Kavitha Devi M K. „Semantic Nexus: Knowledge Graph Creation from CrossNER Data using NLP“. In 2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech). IEEE, 2023. http://dx.doi.org/10.1109/icacctech61146.2023.00036.
Der volle Inhalt der QuellePfitzner, Fabian, Alexander Braun und André Borrmann. „Object Detection-Based Knowledge Graph Creation: Enabling Insight into Construction Processes“. In ASCE International Conference on Computing in Civil Engineering 2023. Reston, VA: American Society of Civil Engineers, 2024. http://dx.doi.org/10.1061/9780784485224.023.
Der volle Inhalt der QuelleXia, Liqiao, Pai Zheng, Yongshi Liang, Ge Zheng und Zhengyang Ling. „Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT“. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, 2023. http://dx.doi.org/10.1109/case56687.2023.10260382.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Knowledge graph creation and curation"
Taylor, Karen, Emily Moynihan und Information Technology Laboratory (U S. ). Information Science and Knowledge Management Branch. The Forefront : A Review of ERDC Publications, Spring 2021. Engineer Research and Development Center (U.S.), Juni 2020. http://dx.doi.org/10.21079/11681/40902.
Der volle Inhalt der QuelleShapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Artem I. Atamas, Roman A. Tarasenko und Vitaliy V. Tron. Centralized information web-oriented educational environment of Ukraine. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3251.
Der volle Inhalt der Quelle