Academic literature on the topic 'Knowledge graph creation and curation'

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Journal articles on the topic "Knowledge graph creation and curation"

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Debruyne, Christophe, Gary Munnelly, Lynn Kilgallon, Declan O’Sullivan, and 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, no. 2 (2022): 1–25. http://dx.doi.org/10.1145/3474829.

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The Beyond 2022 project aims to create a virtual archive by digitally reconstructing and digitizing historical records lost in a catastrophic fire which consumed items in the Public Record Office of Ireland in 1922. The project is developing a knowledge graph (KG) to facilitate information retrieval and discovery over the reconstructed items. The project decided to adopt Semantic Web technologies to support its distributed KG and reasoning. In this article, we present our approach to KG generation and management. We elaborate on how we help historians contribute to the KG (via a suite of sprea
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Waagmeester, Andra, Daniel Mietchen, Siobhan Leachman, and Quentin Groom. "Using Crowd-curation to Improve Taxon Annotations on the Wikimedia Infrastructure." Biodiversity Information Science and Standards 3 (June 18, 2019): e35216. https://doi.org/10.3897/biss.3.35216.

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Here we present how two independent infrastructures, Wikimedia and iNaturalist, can be jointly leveraged to improve content on both platforms. iNaturalist.org began as a Master's final project in 2008 and grew to a globally used app to help identify biodiversity. The community behind iNaturalist consists of citizen scientists, who record a species existence through photos or sound recordings. The Wikimedia Foundation provides a spectrum of resources, of which Wikipedia is the most famous sibling. Other siblings we address here are Wikimedia Commons and Wikidata. Commons is the platform where o
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Lenehan, Patrick, A. J. Venkatakrishnan, Karthik Murugadoss, et al. "Clinical nSights: A software platform to accelerate real world oncology analyses." Journal of Clinical Oncology 42, no. 16_suppl (2024): e23316-e23316. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.e23316.

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e23316 Background: Real world data analyses are critical to assess drug safety and effectiveness, including in patient populations underrepresented in clinical trials. Significant barriers to performing such analyses remain, including: (1) incomplete access to electronic health record (EHR) data due to patient privacy concerns, (2) lack of data harmonization within and across EHRs, (3) requirements for time- and labor-intensive data curation efforts, and (4) necessity of coding or data science expertise given the absence of user-friendly platforms. We present Clinical nSights, a software platf
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Hammock, Jennifer, and Katja Schulz. "Trait Data Integration from the Perspective of a Data Aggregator." Biodiversity Information Science and Standards 3 (August 20, 2019): e38411. https://doi.org/10.3897/biss.3.38411.

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The Encyclopedia of Life currently hosts ~8M attribute records for ~400k taxa (March 2019, not including geographic categories, Fig. 1). Our aggregation priorities include Essential Biodiversity Variables (Kissling et al. 2018) and other global scale research data priorities. Our primary strategy remains partnership with specialist open data aggregators; we are also developing tools for the deployment of evolutionarily conserved attribute values that scale quickly for global taxonomic coverage, for instance: tissue mineralization type (aragonite, calcite, silica...); trophic guild in certain c
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Weikum, Gerhard, Xin Luna Dong, Simon Razniewski, and Fabian Suchanek. "Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases." Foundations and Trends® in Databases 10, no. 2-4 (2021): 108–490. http://dx.doi.org/10.1561/1900000064.

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Stocker, Markus, Allard Oelen, Mohamad Yaser Jaradeh, et al. "FAIR scientific information with the Open Research Knowledge Graph." FAIR Connect 1, no. 1 (2023): 19–21. http://dx.doi.org/10.3233/fc-221513.

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The Open Research Knowledge Graph is an infrastructure for the production, curation, publication and use of FAIR scientific information. Its mission is to shape a future scholarly publishing and communication where the contents of scholarly articles are FAIR research data.
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Schwartz, David, and Dov Te'eni. "AI for Knowledge Creation, Curation, and Consumption in Context." Journal of the Association for Information Systems 25, no. 1 (2024): 37–47. http://dx.doi.org/10.17705/1jais.00862.

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Malik, Khalid Mahmood, Madan Krishnamurthy, Mazen Alobaidi, Maqbool Hussain, Fakhare Alam, and Ghaus Malik. "Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype." Expert Systems with Applications 145 (May 2020): 113120. http://dx.doi.org/10.1016/j.eswa.2019.113120.

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Khan, Arijit. "Knowledge Graphs Querying." ACM SIGMOD Record 52, no. 2 (2023): 18–29. http://dx.doi.org/10.1145/3615952.3615956.

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Knowledge graphs (KGs) such as DBpedia, Freebase, YAGO, Wikidata, and NELL were constructed to store large-scale, real-world facts as (subject, predicate, object) triples - that can also be modeled as a graph, where a node (a subject or an object) represents an entity with attributes, and a directed edge (a predicate) is a relationship between two entities. Querying KGs is critical in web search, question answering (QA), semantic search, personal assistants, fact checking, and recommendation. While significant progress has been made on KG construction and curation, thanks to deep learning rece
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Luttmer, Janosch, Mostafa Kandel, Dominik Ehring, and Arun Nagarajah. "Automatic knowledge graph creation from engineering standards using the example of formulas." Proceedings of the Design Society 4 (May 2024): 423–32. http://dx.doi.org/10.1017/pds.2024.45.

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AbstractEngineering standards are an important source of knowledge in product development. Despite the increasing digitalisation, the provision and usage of standards is characterised by lots of manual steps. This research paper aims at applying automatic knowledge graph creation in the domain of engineering standards to enable machine-actionable standards. For this, a formula knowledge graph ontology as well as suitable information extraction techniques are developed. The concept is validated using the example of DIN ISO 281, showing the overall capability of automatic knowledge graph creatio
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Dissertations / Theses on the topic "Knowledge graph creation and curation"

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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.

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Les graphes de connaissances centrés sur les entités sont de plus en plus populaires pour recueillir des informations sur les entités. Les schémas des KG sont complexes, avec de nombreux types et prédicats différents pour définir les entités et leurs relations. Ces KG contiennent des connaissances spécifiques à un domaine, mais pour tirer le maximum de ces données, il faut comprendre la structure et les schémas du KG. Leurs données comprennent des entités et leurs types sémantiques pour un domaine spécifique. En outre, les propriétés des entités et les relations entre les entités sont stockées
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Oshurko, Ievgeniia. "Knowledge representation and curation in hierarchies of graphs." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN024.

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L'extraction automatique des intuitions et la construction de modèles computationnels à partir de connaissances sur des systèmes complexes repose largement sur le choix d'une représentation appropriée. Ce travail s'efforce de construire un cadre adapté pour la représentation de connaissances fragmentées sur des systèmes complexes et sa curation semi-automatisé.Un système de représentation des connaissances basé sur des hiérarchies de graphes liés à l'aide d'homomorphismes est proposé. Les graphes individuels représentent des fragments de connaissances distincts et les homomorphismes permettent
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Books on the topic "Knowledge graph creation and curation"

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Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Now Publishers, 2021.

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(Editor), Aldo de Moor, Wilfried Lex (Editor), and Bernhard Ganter (Editor), eds. 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.

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Frenneaux, Richard. Music Industry in the Digital Age. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9798765113486.

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The Music Industry in the Digital Age examines at the major shifts brought about by digital technology and platforms in the music industry. Frenneaux looks at how digital production tools, social media, and streaming services have impacted music distribution, creation, and consumption. Along with addressing the challenges of sustaining employment in a fractured attention economy, the book examines the democratization of music production and the ascent of independent artists. It looks at how record companies, producers, and A&R's changing roles in a data-driven environment as well as how al
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Book chapters on the topic "Knowledge graph creation and curation"

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Jhajj, Gaganpreet, Xiaokun Zhang, Jerry Ryan Gustafson, Fuhua Lin, and Michael Pin-Chuan Lin. "Educational Knowledge Graph Creation and Augmentation via LLMs." In Generative Intelligence and Intelligent Tutoring Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63031-6_25.

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Georgoudi, Amalia, Nikolaos Stylianou, Ioannis Konstantinidis, et al. "Towards Knowledge Graph Creation from Greek Governmental Documents." In Advances and Trends in Artificial Intelligence. Theory and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36819-6_26.

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Rajendran, Aparna, Varshitha Rajendran, and G. Veena. "Knowledge Graph Creation Using Syntax and Semantic Model." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8605-3_32.

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Lodhi, Aminah Bilal, Muhammad Abdullah Bilal, Hafiz Syed Muhammad Bilal, et al. "PNRG: Knowledge Graph-Driven Methodology for Personalized Nutritional Recommendation Generation." In Digital Health Transformation, Smart Ageing, and Managing Disability. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43950-6_20.

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AbstractChronic Diseases are a prevalent problem that affects millions of people worldwide. It is a prevalent health condition that requires careful diet and medication management and preventing chronic diseases. Traditional approaches to nutritional recommendation generation often rely on generic guidelines and population-based data, which may not account for individual dietary needs and preferences variations. In this paper, we propose a knowledge graph driven methodology for generating highly personalized nutritional recommendations that leverage the power of knowledge graphs to integrate a
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Vinasco-Alvarez, Diego. "Leveraging Standards in Model-Centric Geospatial Knowledge Graph Creation." In The Semantic Web: ESWC 2022 Satellite Events. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11609-4_37.

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Shinde, Shreya, Shubhangi Gaherwar, Avani Sathe, Malvika Menon, and Sheetal Barekar. "Creation of Knowledge Graph for Client Complaint Management System." In Data Management, Analytics and Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2934-1_2.

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Hemid, Ahmad, Abderrahmane Khiat, Megha Jayakumar, Christoph Lange, Christoph Quix, and Stefan Decker. "Knowledge Graph Creation and Management Made Easy with KGraphX." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68312-1_4.

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De Donato, Renato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta, and Vittorio Scarano. "QueDI: From Knowledge Graph Querying to Data Visualization." In Semantic Systems. In the Era of Knowledge Graphs. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59833-4_5.

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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. We propose QueDI (Query Data of Interest), a question-answering and visualization tool that implements a scaffold transitional approach to 1) query LOD withou
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Jozashoori, Samaneh, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, and Oscar Corcho. "FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62419-4_16.

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Iglesias, Enrique, Ahmad Sakor, Philipp D. Rohde, Valentina Janev, and Maria-Esther Vidal. "Fragmenting Data Strategies to Scale Up the Knowledge Graph Creation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7356-5_2.

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Conference papers on the topic "Knowledge graph creation and curation"

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Mandal, Sukanya, and Noel E. O’Connor. "OntoSmartDCU: A Multi-Agent Microservice Based Automated, Dynamic Ontology and Knowledge Graph Creation Framework From Real-Time Sensor Data for the Smart DCU Digital Twin." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811412.

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Huaman, Elwin, and Dieter Fensel. "Knowledge Graph Curation: A Practical Framework." In IJCKG'21: The 10th International Joint Conference on Knowledge Graphs. ACM, 2021. http://dx.doi.org/10.1145/3502223.3502247.

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Lakshmi, Vaibhava R., Gerard Deepak, A. Santhanavijayan, and 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.

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Berti-Equille, Laure. "ML-Based Knowledge Graph Curation: Current Solutions and Challenges." In WWW '19: The Web Conference. ACM, 2019. http://dx.doi.org/10.1145/3308560.3316522.

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Kalla, Aparna, R. Shailesh, S. Preetha, Snehal Chandra, and 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.

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Shinde, Omkar, and 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.

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Khalid, Mutahira, Hasan Ali Khattak, Arsalan Ahmad, and 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.

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Ajmani, Leah, Mo Houtti, Jasmine C. Foriest, Michael Ann Devito, Nicholas Vincent, and 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. ACM, 2023. http://dx.doi.org/10.1145/3584931.3611280.

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M, Arun Kumar, Harsha Prada S, Caroline Dorathy Esther J, Sabareshwaran M. T, and 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.

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Pfitzner, Fabian, Alexander Braun, and André Borrmann. "Object Detection-Based Knowledge Graph Creation: Enabling Insight into Construction Processes." In ASCE International Conference on Computing in Civil Engineering 2023. American Society of Civil Engineers, 2024. http://dx.doi.org/10.1061/9780784485224.023.

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Reports on the topic "Knowledge graph creation and curation"

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Lischer-Katz, Zack, Rashida Braggs, and Bryan Carter. Investigating Volumetric Video Creation and Curation for the Digital Humanities: a White Paper Describing Findings from the Project: Preserving BIPOC Expatriates’ Memories During Wartime and Beyond. The University of Arizona Libraries, 2024. http://dx.doi.org/10.2458/10150.674673.

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Volumetric video capture technologies offer humanities scholars and other researchers new, immersive ways of engaging with historical and cultural knowledge for research and pedagogical purposes; however, the high cost of this technology and a paucity of expert knowledge in the field have limited its adoption. In particular, volumetric video offers rich new possibilities for recording, preserving, and re-experiencing BIPOC (Black, indigenous, and other people of color) stories in immersive detail, which have been underrepresented in the historical record. This technology is still experimental
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Taylor, Karen, Emily Moynihan, and 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.), 2020. http://dx.doi.org/10.21079/11681/40902.

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The Engineer Research and Development Center (ERDC) is the premier civil works engineering and environmental sciences research and development arm of the U.S. Army Corps of Engineers (USACE). As such, it partners with the Army, Department of Defense (DoD), federal agencies, and civilian organizations to help solve our Nation’s most challenging problems in civil and military engineering, geospatial sciences, water resources, and environmental sciences. A special government knowledge center, ERDC Information Technology Laboratory’s Information Science and Knowledge Management (ISKM) Branch is cr
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Shapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Artem I. Atamas, Roman A. Tarasenko, and Vitaliy V. Tron. Centralized information web-oriented educational environment of Ukraine. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3251.

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The modern development of science and technology has provided high quantity of information. This information must be systemized and classified. For taxonomization of educational materials, it was proposed to use existing graph-generators and graph-visualizers of the TODOS IT platform. A separate aspect of the TODOS IT platform is the possibility of using a centralized web-oriented learning environment. Creation of the system and transdisciplinary knowledge is a problem of modern education, which can be solved by creating a centralized web-oriented educational environment. Using this approach i
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