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

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

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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Croset, Samuel, Joachim Rupp, and Martin Romacker. "Flexible data integration and curation using a graph-based approach." Bioinformatics 32, no. 6 (2015): 918–25. http://dx.doi.org/10.1093/bioinformatics/btv644.

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Abstract Motivation: The increasing diversity of data available to the biomedical scientist holds promise for better understanding of diseases and discovery of new treatments for patients. In order to provide a complete picture of a biomedical question, data from many different origins needs to be combined into a unified representation. During this data integration process, inevitable errors and ambiguities present in the initial sources compromise the quality of the resulting data warehouse, and greatly diminish the scientific value of the content. Expensive and time-consuming manual curation

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Abueed, Raed A. I., and Mehmet Aga. "Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?" Sustainability 11, no. 20 (2019): 5575. http://dx.doi.org/10.3390/su11205575.

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It has been recognized that data curation and governance can equip firms with the capability to generate sustainable knowledge. However, the antecedent and consequences of sustainable knowledge creation have not been systematically explored. The model in this study describes how sustainable knowledge creation enhances corporate information transparency, innovation, and financial and market performance. In addition, we also show how corporate data governance fosters sustainable knowledge creation among corporations listed in the Amman Stock exchange. Using survey data from (n = 180) publicly li

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Esteva, Maria, Weijia Xu, Nevan Simone, Kartik Nagpal, Amit Gupta, and Moriba Jah. "Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections." International Journal of Digital Curation 17, no. 1 (2022): 11. http://dx.doi.org/10.2218/ijdc.v17i1.847.

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Data driven applications often require using data integrated from different, large, and continuously updated collections. Each of these collections may present gaps, overlapping data, have conflicting information, or complement each other. Thus, a curation need is to continuously assess if data from multiple collections are fit for integration and reuse. To assess different large data collections at the same time, we present the Synchronic Curation (SC) framework. SC involves processing steps to map the different collections to a unifying data model that represents research problems in a scien

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Qin, Pengda, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, and William Yang Wang. "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8673–80. http://dx.doi.org/10.1609/aaai.v34i05.6392.

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Large-scale knowledge graphs (KGs) are shown to become more important in current information systems. To expand the coverage of KGs, previous studies on knowledge graph completion need to collect adequate training instances for newly-added relations. In this paper, we consider a novel formulation, zero-shot learning, to free this cumbersome curation. For newly-added relations, we attempt to learn their semantic features from their text descriptions and hence recognize the facts of unseen relations with no examples being seen. For this purpose, we leverage Generative Adversarial Networks (GANs)

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Somerville, Mary M., Anita Mirjamdotter, Edmond Harjizi, et al. "Curating knowledge, creating change:: University Knowledge Center, Kosovo national transition." IFLA Journal 46, no. 2 (2020): 151–62. http://dx.doi.org/10.1177/0340035219883897.

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A collaborative system design initiative at the University for Business and Technology in Kosovo aims to make local knowledge visible and to enhance local knowledge creation, within the university and throughout the country. Since its inception in 2015, design activities aimed to activate systems through modeling the global knowledge landscape, technology enabled systems, and human activity processes. Within the framework of Informed Systems, application of Informed Learning Theory and Information Experience Design (IXD) guided prototyping systems that informed building an institutional reposi

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Laurenzi, Emanuele, Adrian Mathys, and Andreas Martin. "An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process." Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 148–56. http://dx.doi.org/10.1609/aaaiss.v3i1.31194.

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Conventional knowledge engineering approaches aiming to create Enterprise Knowledge Graphs (EKG) still require a high level of manual effort and high ontology expertise, which hinder their adoption across industries. To tackle this issue, we explored the use of Large Language Models (LLMs) for the creation of EKGs through the lens of a design-science approach. Findings from the literature and from expert interviews led to the creation of the proposed artefact, which takes the form of a six-step process for EKG development. Scenarios on how to use LLMs are proposed and implemented for each of t

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Rasberry, Lane, Egon Willighagen, Finn Nielsen, and Daniel Mietchen. "Robustifying Scholia: paving the way for knowledge discovery and research assessment through Wikidata." Research Ideas and Outcomes 5 (May 2, 2019): e35820. https://doi.org/10.3897/rio.5.e35820.

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Knowledge workers like researchers, students, journalists, research evaluators or funders need tools to explore what is known, how it was discovered, who made which contributions, and where the scholarly record has gaps. Existing tools and services of this kind are not available as Linked Open Data, but Wikidata is. It has the technology, active contributor base, and content to build a large-scale knowledge graph for scholarship, also known as WikiCite. Scholia visualizes this graph in an exploratory interface with profiles and links to the literature. However, it is just a working prototype.

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Huvila, Isto. "Improving the usefulness of research data with better paradata." Open Information Science 6, no. 1 (2022): 28–48. http://dx.doi.org/10.1515/opis-2022-0129.

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Abstract Considerable investments have been made in Europe and worldwide for developing research data infrastructures. Instead of a general lack of data about data, it has become apparent that a pivotal factor that drastically constrains data use is the absence of contextual knowledge about how data was created and how it has been curated and used. This applies especially to many branches of social science and humanities research, where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/co

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Foran, Anna, and Ami Xherro. "Hyphenated: A Collaborative Meditation on Research-Creation." Imaginations: Journal of Cross-Cultural Image Studies 15, no. 3 (2025): 47–65. https://doi.org/10.17742/image29718.

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This paper explores the transformative potential of feminist research-creation through the lens of krisis and collaborative world-building, positioning research-creation as both a method and an ethic of care. Revisiting the ancient Greek concept of krisis—a moment of judgment and discernment—as a framework for inquiry, the author contrasts her prior scholarly work embedded in traditional frameworks of critique, often rooted in metaphors of violence, with the reparative methodologies developed through her work with the Decameron Collective. Over four years of iterative collaboration, the Collec

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Tschofen, Monique. "In (a) Critical Condition: Reconsiderations of Krisis, Critique, and Theoria through Research Co-creation." Imaginations: Journal of Cross-Cultural Image Studies 15, no. 3 (2025): 13–46. https://doi.org/10.17742/image29715.

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This paper explores the transformative potential of feminist research-creation through the lens of krisis and collaborative world-building, positioning research-creation as both a method and an ethic of care. Revisiting the ancient Greek concept of krisis—a moment of judgment and discernment—as a framework for inquiry, the author contrasts her prior scholarly work embedded in traditional frameworks of critique, often rooted in metaphors of violence, with the reparative methodologies developed through her work with the Decameron Collective. Over four years of iterative collaboration, the Collec

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Johnson, Andrew. "The DataQ Story." Bulletin of the Association for Information Science and Technology 42, no. 5 (2016): 38–40. http://dx.doi.org/10.1002/bul2.2016.1720420509.

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EDITOR'S SUMMARYLongstanding frustration about the single‐purpose use of valuable data led author Andrew Johnson to a career in librarianship, a focus on scientific data curation and, ultimately, creation with colleague Megan Bresnahan of the DataQ project. Johnson's concerns about research data management being a silo within the profession were overcome with the realization that many librarians, especially those at smaller institutions, saw the need for effective curation but felt untrained and unequipped to deal with it. DataQ was established as a service and resource for library personnel t

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Beagrie, Neil. "Digital Curation for Science, Digital Libraries, and Individuals." International Journal of Digital Curation 1 (December 2, 2008): 3–16. http://dx.doi.org/10.2218/ijdc.v1i1.2.

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The creation, management and use of digital materials are of increasing importance for a wide range of activities. Much of the knowledge base and intellectual assets of institutions and individuals are now in digital form. The term digital curation is increasingly being used for the actions needed to add value to and maintain these digital assets over time for current and future generations of users. The paper explores this emerging field of digital curation as an area of inter-disciplinary research and practice, and the trends which are influencing its development. It analyses the genesis of

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KERTKEIDKACHORN, Natthawut, and Ryutaro ICHISE. "An Automatic Knowledge Graph Creation Framework from Natural Language Text." IEICE Transactions on Information and Systems E101.D, no. 1 (2018): 90–98. http://dx.doi.org/10.1587/transinf.2017swp0006.

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Ryen, Vetle, Ahmet Soylu, and Dumitru Roman. "Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review." Future Internet 14, no. 5 (2022): 129. http://dx.doi.org/10.3390/fi14050129.

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Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and se

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Bravo, Maricela, Darinel González-Villarreal, José A. Reyes-Ortiz, and Leonardo D. Sánchez-Martínez. "Modularization Method to Reuse Medical Knowledge Graphs." Applied Sciences 12, no. 22 (2022): 11816. http://dx.doi.org/10.3390/app122211816.

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During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed. This implies the reuse of medical knowledge graphs; however, full importation of knowledge graphs is not a tractable solution in terms of memory requirements. In this paper, we present a modularization-based method for knowledge graph reuse. A case study of graph reuse is presented by transforming the original model into a lighter one.

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Cui, Licong, Ferdinand Dhombres, and Jean Charlet. "Knowledge Representation and Management: Notable Contributions in 2021." Yearbook of Medical Informatics 31, no. 01 (2022): 236–40. http://dx.doi.org/10.1055/s-0042-1742523.

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Objectives: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2021. Methods: Following the International Medical Informatics Association (IMIA) Yearbook guidelines, a comprehensive and standardized review of the biomedical informatics literature was performed to select the best KRM papers published in 2021, based on PubMed queries. Results: A total of 1,231 publications were retrieved from PubMed. We nominated 15 candidate best papers, and four of them were finally selected as the best papers in the KRM section. The top

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S A, Priyanka. "Dynamic Visual Creation: Implementing Text to Image Generation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48652.

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Abstract—Generative Adversarial Network (GANs) has become one of the most interesting ideas in the last years in Machine Learning. Generative Adversarial Network is a very exciting area and that’s why researchers are so excited about building generative models as they are set to vary what machines can do for humans. This paper proposes the generation of realistic images according to their semantics based on text description using a Knowledge Graph alongside Knowledge Guided Generative Adversarial Network (KG-GAN) that comes with the embeddings generated from the Knowledge Graph (KG) into GAN.

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Aqsha, Muhammad Farhan, and Rahma Wahdiniwaty. "ANALYZING VISUALS OF SHOE PRODUCT PHOTOS IN 2023 THROUGH INSTAGRAM MEDIA USING QUALITATIVE SEMIOTIC METHODOLOGY." Proceeding of International Conference on Business, Economics, Social Sciences, and Humanities 7 (June 26, 2024): 133–46. http://dx.doi.org/10.34010/3622zv33.

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Product photography plays a pivotal role in business, demanding cameras attuned to lighting nuances and medium capturing. High-quality product visuals foster consumer trust, convey sophistication, and reinforce brand recognition. Particularly in platforms like Instagram, visually appealing photos are instrumental in driving engagement and sales. This study delves into innovative camera methods and background preparation to craft captivating product imagery, aiming to enrich comprehension of crafting unique, consumer-attracting visuals aligning with brand attributes. This research contributes a

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Charlet, Jean, and Licong Cui. "Knowledge Representation and Management 2022: Findings in Ontology Development and Applications." Yearbook of Medical Informatics 32, no. 01 (2023): 225–29. http://dx.doi.org/10.1055/s-0043-1768747.

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Objectives: To select, present, and summarize the best papers in 2022 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook. Methods: We conducted PubMed queries and followed the IMIA Yearbook guidelines for performing biomedical informatics literature review to select the best papers in KRM published in 2022. Results: We retrieved 1,847 publications from PubMed. We nominated 15 candidate best papers, and two of them were finally selected as the best papers in the KRM section. The topics covered by the candidate paper

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Gatiatullin, Ayrat Rafizovich, and Nikolai Arkadievich Prokopyev. "Linguistic Knowledge Graph “Turklang” for Creation of Tools for Teaching Turkic Languages." Russian Digital Libraries Journal 27, no. 3 (2024): 251–65. https://doi.org/10.26907/1562-5419-2024-27-3-251-265.

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This article presents elements of the linguistic knowledge graph “Turklang”, developed at the Institute of Applied Semiotics of the Academy of Sciences of Tatarstan and used as a basis for creating a number of linguistic resources and tools: the portal “Turkic Morpheme”, the electronic corpus of the Tatar language “Tugan Tel”, morphoanalyzer. Creating an educational environment requires subject-oriented knowledge graphs, for which methods of general and open graphs are not suitable. This paper describes linguistic knowledge graphs, which reflect, on the one hand, potential capabilities of Turk

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Kristian, Natalia, Dana Indra Sensuse, and Sofian Lusa. "Enhancing Knowledge Sharing on Social Media: The Role of Functionalities in User Engagement and Information Quality." Jurnal Indonesia Sosial Teknologi 5, no. 10 (2024): 4696–705. http://dx.doi.org/10.59141/jist.v5i10.6676.

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This study investigates functionalities on social media platforms that promote effective knowledge sharing, focusing on information quality and user engagement. A systematic literature review (SLR) was conducted to analyze relevant research. The findings reveal that functionalities like content creation and curation tools, user interaction and feedback mechanisms, community building and gamification elements, and knowledge filtering and recommendation systems all contribute to a positive knowledge-sharing environment. These functionalities empower users to create high-quality content, engage i

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Mongiovì, Misael, Recupero Diego Reforgiato, Aldo Gangemi, Valentina Presutti, and Sergio Consoli. "Merging open knowledge extracted from text with MERGILO." Knowledge-Based Systems 108 (September 15, 2016): 155–67. https://doi.org/10.5281/zenodo.1204402.

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This paper presents MERGILO, a method for reconciling knowledge extracted from multiple natural language sources, and for delivering it as a knowledge graph. The underlying problem is relevant in many application scenarios requiring the creation and dynamic evolution of a knowledge base, e.g. automatic news summarization, human–robot dialoguing, etc. After providing a formal definition of the problem, we propose our holistic approach to handle natural language input – typically independent texts as in news from different sources – and we output a knowledge graph representing

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Berardi, Rita Cristina Galarraga, Pedro Henrique Stolarski Auceli, Cristiano Maciel, et al. "ELLAS Architecture and Process: Collecting and Curating Data on Women’s Presence in STEM." Journal on Interactive Systems 15, no. 1 (2024): 530–40. http://dx.doi.org/10.5753/jis.2024.3853.

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The underrepresentation of women in STEM fields needs to be highlighted through data to assist decision-makers and public policy creators in addressing the issue effectively. However, the lack of structured, organized data published openly in this domain is still a reality. To address this problem, a Latin American research network called ELLAS was created. The project's goal is to develop a platform with Semantic Web-based technologies to structure and concentrate data from Brazil, Peru, and Bolivia, initially. This paper presents the processes defined for the collection and curation of both

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Zhang, Ying, Susan Xue, and Zhaohui Xue. "From collection curation to knowledge creation: Exploring new roles of academic librarians in digital humanities research." Journal of Academic Librarianship 47, no. 2 (2021): 102324. http://dx.doi.org/10.1016/j.acalib.2021.102324.

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Shalfeeva, Elena, and Valeria Gribova. "The Issues of Creation of Machine-Understandable Smart Standards Based on Knowledge Graphs." Informatics and Automation 23, no. 4 (2024): 969–88. http://dx.doi.org/10.15622/ia.23.4.2.

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The development of digital transformation requires the widespread use of digital technologies in standardization documents. One of the goals is to create standards with machine-understandable content that will allow the use of digital documents at various stages of development and production without the need for a human operator. The purpose of this work is to describe an approach for creating and translating industry normative documents into a machine-understandable representation for their further use in software services and systems. There are three types of SMART standard content: machine-

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Gatiatullin, A. R., and N. A. Prokopyev. "“Turklang” Linguistic Knowledge Graph for Creation of Tools for Teaching Turkic Languages." Automatic Documentation and Mathematical Linguistics 58, S3 (2024): S95—S101. https://doi.org/10.3103/s0005105525700153.

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Harland, Robert, Antonia Liguori, and Gareth Cole. "Developing a Digital Archive for Symbolic Resources in Urban Environments - the Latina Project." International Journal of Digital Curation 12, no. 2 (2018): 136–45. http://dx.doi.org/10.2218/ijdc.v12i2.511.

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The project described in this paper was funded to establish the foundation for a digital archival resource for researchers interested in the way people interact with urban environments through graphic communications. The research was internally funded by Loughborough University as part of its Research Challenge Programme and involved two members of academic staff and two library staff.[1] Two PhD students also participated. The archive consists of a small number of images and will act as a proof of concept, not only for this project but also for current and future funding applications. I

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Hana, Ramy, and Tobias Kleinert. "Asset management knowledge graph for production plants in process industry." at - Automatisierungstechnik 72, no. 10 (2024): 946–57. http://dx.doi.org/10.1515/auto-2023-0222.

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Abstract The introduction and adoption of various semantic models for describing assets within a plant have paved the way for new opportunities. This contribution centers on the establishment and continuous maintenance of a plant asset management system based on knowledge graphs, utilizing the information contained in various semantic models. Additionally, it highlights how the graph can be leveraged in the creation and configuration of AI-based anomaly detection models, aimed at the monitoring of measurement values in a process plant. The concept paves the way for the wide deployment of AI mo

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Dorodnykh, Nikita Olegovych, and Alexander Yurievich Yurin. "Automated Extraction of Facts from Tabular Data based on Semantic Table Annotation." Proceedings of the Institute for System Programming of the RAS 36, no. 3 (2024): 93–104. http://dx.doi.org/10.15514/ispras-2024-36(3)-7.

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The use of knowledge graphs in the construction of intelligent information and analytical systems provides to effectively structure and analyze knowledge, process large volumes of data, improve the quality of systems, and apply them in various domains such as medicine, manufacturing, trade, and finance. However, domain-specific knowledge graph engineering continues to be a difficult task, requiring the creation of specialized methods and software. One of the main trends in this area is the use of various information sources, in particular tables, which can significantly improve the efficiency

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Lima, Beatriz Stella Heltai, Ana Giulia Catafesta, Sabrina Chaussard Osmo, Elaine Rosangela de Oliveira Lucas, and Guilherme Renzo Rocha Brito. "Ciência Cidadã e Tecnologia Educacional para a Ciência Aberta: Uma Experiência de Co-criação de Conhecimento com o iNaturalist." Revista Latinoamericana de Tecnología Educativa - RELATEC 24, no. 2 (2025): 57–68. https://doi.org/10.17398/1695-288x.24.2.57.

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This article describes the implementation of a Citizen Science project focused on the collaborative creation of a field guide to the birds of the campus of the Federal University of Santa Catarina (UFSC). The initiative, developed by the Laboratory of Ornithology and Bioacoustics of Santa Catarina (LABOAC/UFSC) in partnership with the Laboratory of Production, Communication and Scientific Memory (CienLAB/UDESC), aimed to promote birdwatching, encourage environmental education, and involve the academic and external community in scientific activities. The methodology included field trips, collec

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Nevan Simone and Maria Esteva. "Resolving Conflicts in Data Through Curation-informed Weight Distribution Networks." International Journal of Digital Curation 18, no. 1 (2024): 11. http://dx.doi.org/10.2218/ijdc.v18i1.935.

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Missing and conflicting data values create problems when integrating datasets from multiple collections. Moreover, when the collections to be integrated are large and continuously updated, it is not feasible to manually resolve these problems. Instead, disagreements and gaps should be resolved in an automated fashion. To achieve good quality integrated datasets automatically we introduce the Curation-informed Weight Distribution Network (CiWDN), a method that suggests which collection is more reliable in providing a data value in question. CiWDN adapts the PageRank algorithm (PR) to assign and

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Liu, Kai, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu, and Yun Zhou. "Recent Progress of Using Knowledge Graph for Cybersecurity." Electronics 11, no. 15 (2022): 2287. http://dx.doi.org/10.3390/electronics11152287.

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In today’s dynamic complex cyber environments, Cyber Threat Intelligence (CTI) and the risk of cyberattacks are both increasing. This means that organizations need to have a strong understanding of both their internal CTI and their external CTI. The potential for cybersecurity knowledge graphs is evident in their ability to aggregate and represent knowledge about cyber threats, as well as their ability to manage and reason with that knowledge. While most existing research has focused on how to create a full knowledge graph, how to utilize the knowledge graph to tackle real-world industrial dif

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Garcia Trelles, Elena, Christoph Schweizer, Akhil Thomas, Philipp von Hartrott, and Marina Janka-Ramm. "Digitalizing Material Knowledge: A Practical Framework for Ontology-Driven Knowledge Graphs in Process Chains." Applied Sciences 14, no. 24 (2024): 11683. https://doi.org/10.3390/app142411683.

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This paper proposes a robust methodology for integrating process-specific data and domain expert knowledge into linked knowledge graphs. These graphs utilize an ontology that provides a standardized vocabulary for material science and facilitates the creation of semantic models for various processes along the digital process chain. A generic template for structuring processes is proposed, simplifying subsequent data retrieval. The templates of specific processes are designed collaboratively by domain and ontology experts, aided by a proposed interview template that bridges the knowledge gap. F

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Lister, Allyson L., Matthew Pocock, and Anil Wipat. "Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models." Journal of Integrative Bioinformatics 4, no. 3 (2007): 252–63. http://dx.doi.org/10.1515/jib-2007-80.

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Abstract The creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that requires careful checking. Currently, the rules and constraints of model creation, curation, and annotation are distributed over at least three separate documents: the SBML schema document (XSD), the Systems Biology Ontology (SBO), and the “Structures and Facilities for Model Definition” document. The latter document contains the richest set of constraints on models, and yet it is not amenable to computational

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Stephens, Miari Taina. "Black Feminist Organizing and Caribbean Cyberfeminisms in Puerto Rico." Open Cultural Studies 6, no. 1 (2022): 147–66. http://dx.doi.org/10.1515/culture-2022-0149.

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Abstract This article centers Black feminist organizing in Puerto Rico, highlighting social media as a tool for racial and gender justice. Collaboration between Puerto Rican feminist organizations on social media platforms amplifies their on-the-ground work and demands. Mapping Caribbean Cyberfeminisms (2016) theorizes Caribbean cyberfeminisms as “knowledge-producing spaces of political thought and action” online by Caribbean feminists. I argue that through content creation and curation, reposting and sharing, commenting and captioning, broadcasting live, Black feminist collectives, organizati

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Seid, Mehammed, and Nasir Sebahadin. "Knowledge Graph Creation based on Ontology from Source-Code: The Case of C#." International Journal of Innovative Science and Research Technology 8, no. 1 (2023): 656–63. https://doi.org/10.5281/zenodo.7587990.

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The software's core data and business logic are believed to be contained in the source code. Therefore, the necessity for a semantically soundly linked and structured code data management system is a major challenge in the field of software engineering. This paper investigates a domain ontology-based automatic knowledge graph creation method for C# source code. The semantic web, open-source developers, knowledge management, expert systems, and online communities are just a few of the fields where software engineers may now understand and analyze code in a semantic manner. By layering condi

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Serkov, Oleksandr, Oleg Kasilov, Vitalii Voronets, Karyna Trubchaninova, and Gennady Churyumov. "METHODOLOGY OF DIGITAL CONTENT CREATION." Advanced Information Systems 8, no. 4 (2024): 34–40. http://dx.doi.org/10.20998/2522-9052.2024.4.05.

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The subject of the study is the individualization of the learning process in the process of assimilating information with different levels of subjective complexity. The purpose of the study is to develop a methodology for creating digital content to manage student behavior by changing the objective complexity of the learning material. The subject of the study is to develop and theoretically substantiate methods of individualized approach of students to learning professional competences by creating individual trajectories of knowledge acquisition and assimilation. Used methods: methods of analy

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Knez, Timotej, and Slavko Žitnik. "Event-Centric Temporal Knowledge Graph Construction: A Survey." Mathematics 11, no. 23 (2023): 4852. http://dx.doi.org/10.3390/math11234852.

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Textual documents serve as representations of discussions on a variety of subjects. These discussions can vary in length and may encompass a range of events or factual information. Present trends in constructing knowledge bases primarily emphasize fact-based common sense reasoning, often overlooking the temporal dimension of events. Given the widespread presence of time-related information, addressing this temporal aspect could potentially enhance the quality of common-sense reasoning within existing knowledge graphs. In this comprehensive survey, we aim to identify and evaluate the key tasks

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Kurt, Ibrahim. "Sociovirtualization and Cultural Identity Formation in the Digital Age." Proceedings of London International Conferences, no. 11 (September 3, 2024): 1–8. http://dx.doi.org/10.31039/plic.2024.11.249.

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The way that cultural identities are created and represented in the digital era has been significantly influenced by the phenomena of sociovirtualization, or the blending of the online and offline spheres. The possibilities and difficulties that sociovirtualization brings for the creation and negotiation of cultural identities are critically examined in this paper. It investigates the ways in which virtual environments support the development of diasporic communities, the curation of multifaceted cultural identities, and the promotion of intercultural communication. However, dangers including

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Kurt, Ibrahim. "Sociovirtualization and Cultural Identity Formation in the Digital Age." London Journal of Interdisciplinary Sciences, no. 4 (February 7, 2025): 1–9. https://doi.org/10.31039/ljis.2025.4.297.

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The way that cultural identities are created and represented in the digital era has been significantly influenced by the phenomena of sociovirtualization, or the blending of the online and offline spheres. The possibilities and difficulties that sociovirtualization brings for the creation and negotiation of cultural identities are critically examined in this paper. It investigates the ways in which virtual environments support the development of diasporic communities, the curation of multifaceted cultural identities, and the promotion of intercultural communication. However, dangers including

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