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Knowledge Graph Validation [article]

Elwin Huaman, Elias Kärle, Dieter Fensel
2020 arXiv   pre-print
Knowledge graphs (KGs) have shown to be an important asset of large companies like Google and Microsoft.  ...  In this paper, we provide an overview and review of the state-of-the-art approaches, methods and tools on knowledge validation for KGs, as well as an evaluation of them.  ...  INTRODUCTION Knowledge curation (aka knowledge refinement) [8] is the process of ensuring (or ideally improving) the quality of knowledge graphs (KGs).  ... 
arXiv:2005.01389v1 fatcat:zalw5b7xxzb6vb5bsbxphvjnn4

Knowledge Graphs [article]

Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo (+6 others)
2021 arXiv   pre-print
We provide an overview of prominent open knowledge graphs and enterprise knowledge graphs, their applications, and how they use the aforementioned techniques.  ...  After some opening remarks, we motivate and contrast various graph-based data models and query languages that are used for knowledge graphs.  ...  Acknowledgements: We thank the attendees of the Dagstuhl Seminar on "Knowledge Graphs" for discussions that inspired and influenced this paper, and all those that make such seminars possible.  ... 
arXiv:2003.02320v5 fatcat:ab4hmm2f2bbpvobwkjw4xbrz4u

Enterprise Knowledge Graph Foundation

Mike Atkin
2020 Zenodo  
Launch presentation of the Enterprise Knowledge Graph Foundation A non-profit organization to help accelerate adoption of semantic standards, promote data interoperability and facilitate reuse.  ...  )  Classifications (i.e. criticality, security, privacy) are aligned with the use case tree and captured in the knowledge graph  Governance requirements (i.e. use cases, accountability, data sources,  ...  data flows, SLAs) are modeled and registered into the knowledge graph Level 3: Enterprise  Data inventory is centralized in the graph and linked to governance for defined use cases  Ontologies and  ... 
doi:10.5281/zenodo.3874814 fatcat:ucyjjewlsfcbnersz3tokd76ti

Legal Knowledge Extraction for Knowledge Graph Based Question-Answering [chapter]

Francesco Sovrano, Monica Palmirani, Fabio Vitali
2020 Frontiers in Artificial Intelligence and Applications  
A Knowledge Graph (KG) is built using OKE and Natural Language Processing (NLP) methods jointly with the main ontology design patterns defined for the legal domain (e.g., event, time, role, agent, right  ...  In particular the use case is on international private law with specific regard to the Rome I Regulation EC 593/2008, Rome II Regulation EC 864/2007, and Brussels I bis Regulation EU 1215/2012.  ...  Acknowledgements This paper is was conducted thanks the InterLex project funded by the European Union's Justice programme under Grant Agreement No.800839 and with the contribution of CIRSFID-Alma AI and  ... 
doi:10.3233/faia200858 fatcat:eiwguxwhvfarzexdhskza2jrxa

Pattern-based Visualization of Knowledge Graphs [article]

Luigi Asprino, Christian Colonna, Misael Mongiovì, Margherita Porena, Valentina Presutti
2021 arXiv   pre-print
We demonstrate that this approach significantly reduces the cognitive load required to users for visualizing and interpreting a knowledge graph and guides the user in exploring it through meaningful thematic  ...  We present a novel approach to knowledge graph visualization based on ontology design patterns.  ...  Aemoo is a Linked Data exploration tool that uses Encyclopedic Knowledge Patterns as relevance criteria for selecting, organizing, and visualizing knowledge.  ... 
arXiv:2106.12857v1 fatcat:3bumgfjezzeyzgmwqdl2ky7d2y

Open Drug Knowledge Graph

Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita
2021 Extended Semantic Web Conference  
Given the modular setup of our method, new sources can be included to accommodate healthcare object use cases relating to diagnoses and claims.  ...  We make the resulting knowledge source available in both relational database and property graph format.  ...  We make the resulting data publicly available, both in the form of a relational database and a knowledge graph. 6 The two formats support complementary use cases. 3.  ... 
dblp:conf/esws/MannIRAS21 fatcat:6lux26pbnvao3lkgshsn353r5a

iTelos – Purpose Driven Knowledge Graph Generation [article]

Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli, Mayukh Bagchi, Alessio Zamboni
2021 arXiv   pre-print
When building a new application we are more and more confronted with the need of reusing and integrating pre-existing knowledge, e.g., ontologies, schemas, data of any kind, from multiple sources.  ...  the data level and the schema level of an application should be developed independently, thus allowing for maximum flexibility in the reuse of the prior knowledge, but under the overall guidance of the  ...  Acknowledgements The research conducted by Fausto Giunchiglia, Mayukh Bagchi and Simone Bocca has received funding from the "DELPhi -Discov-Ering Life Patterns" project funded by the MIUR (PRIN) 2017.  ... 
arXiv:2105.09418v2 fatcat:mpmo6yuafzbyfob6hfmav2ogta

Knowledge-based Relation Discovery in Cultural Heritage Knowledge Graphs

Eero Hyvönen, Heikki Rantala
2019 Digital Humanities in the Nordic Countries Conference  
., Knowledge Graphs (KG).  ...  This paper presents a new knowledge-based approach for finding serendipitous semantic relations between resources in a knowledge graph.  ...  The file size for the relation graph in our case is 28.5 megabytes, and 373 000 triples.  ... 
dblp:conf/dhn/HyvonenR19 fatcat:bvgpxecsjzbojk4t2rm73xrswm

Domain-specific Knowledge Graphs: A survey [article]

Bilal Abu-Salih
2021 arXiv   pre-print
Knowledge Graphs (KGs) have made a qualitative leap and effected a real revolution in knowledge representation.  ...  This is leveraged by the underlying structure of the KG which underpins a better comprehension, reasoning and interpretation of knowledge for both human and machine.  ...  [66] presented a methodology to measure and evaluate the robustness of knowledge in terms of diseases and symptoms captured from existing health knowledge graphs as well as records of patient visits  ... 
arXiv:2011.00235v3 fatcat:oc2loewqdjfgvlapy4kmult5li

Towards Profiling Knowledge Graphs

Heiko Paulheim
2017 International Semantic Web Conference  
Knowledge Graphs, such as DBpedia, YAGO, or Wikidata, are valuable resources for building intelligent applications like data analytics tools or recommender systems.  ...  developments of new, complementary Knowledge Graphs such as DBkWik and WebIsALOD.  ...  Acknowledgements The author would like to thank Daniel Ringler for his contributions to measuring knowledge graphs, Alexandra Hofmann, Jan Portisch, and Samresh Perchani for their work on DBkWik, Julian  ... 
dblp:conf/semweb/Paulheim17 fatcat:jilspgw2k5fhvfctmkpj5xavpq

Knowledge Graph Completeness: A Systematic Literature Review

Subhi Issa, Onaopepo Adekunle, Faycal Hamdi, Samira Si-said Cherfi, Michel Dumontier, Amrapali Zaveri
2021 IEEE Access  
We also analyze nine different tools capable of assessing Knowledge Graph completeness.  ...  The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to indicate its fitness for use in an application.  ...  • what tools are available to detect completeness of Knowledge Graphs?  ... 
doi:10.1109/access.2021.3056622 fatcat:2pkbwehytbchxjsr46csnkt5li

Knowledge Graphs for Innovation Ecosystems [article]

Alberto Tejero, Victor Rodriguez-Doncel, Ivan Pau
2020 arXiv   pre-print
An ontology to capture the essential entities and relations is presented, as well as the description of data sources, which can be used to populate innovation knowledge graphs.  ...  Representing in a machine-readable form these entities and their relations is not entirely attainable, due to the existence of abstract concepts such as knowledge and due to the confidential, non-public  ...  The application of innovation knowledge graph in the case of the UPM demonstrates its usefulness in university-type innovation ecosystems.  ... 
arXiv:2001.08615v1 fatcat:65gp62kr2bgkjggcsounvmfbzu

Knowledge Graph Question Answering Using Graph-Pattern Isomorphism [chapter]

Daniel Vollmers, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck
2021 Applications and Practices in Ontology Design, Extraction, and Reasoning  
Knowledge Graph Question Answering (KGQA) systems are often based on machine learning algorithms, requiring thousands of question-answer pairs as training examples or natural language processing pipelines  ...  Our approach learns to answer questions based on graph isomorphisms from basic graph patterns of SPARQL queries.  ...  This work was partially supported by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) in the project LIMBO (no. 19F2029I) and by the German Federal Ministry of Education and Research  ... 
doi:10.3233/ssw210038 fatcat:ooekvx6g7re6fehn3cll6ijwhu

Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs

Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
2016 Journal of Web Semantics  
We present a general method for constructing sar-graphs using a language-and relation-independent, distantly supervised approach which, apart from generic language processing tools, relies solely on the  ...  We believe sar-graphs will prove to be useful linguistic resources for a wide variety of natural language processing tasks, and in particular for information extraction and knowledge base population.  ...  Acknowledgements This research was supported by the German Federal Ministry of Education and Research (BMBF) through the projects Deependance (contract 01IW11003), ALL SIDES (contract 01IW14002) and BBDC  ... 
doi:10.1016/j.websem.2016.03.004 fatcat:o33kiij265hhrgyggkeq4w3ycu

Sar-Graphs: A Language Resource Connecting Linguistic Knowledge with Semantic Relations from Knowledge Graphs

Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
2016 Social Science Research Network  
We present a general method for constructing sar-graphs using a language-and relation-independent, distantly supervised approach which, apart from generic language processing tools, relies solely on the  ...  We believe sar-graphs will prove to be useful linguistic resources for a wide variety of natural language processing tasks, and in particular for information extraction and knowledge base population.  ...  Acknowledgements This research was supported by the German Federal Ministry of Education and Research (BMBF) through the projects Deependance (contract 01IW11003), ALL SIDES (contract 01IW14002) and BBDC  ... 
doi:10.2139/ssrn.3199232 fatcat:qds3iq45tzfbxp5rzoauuvqgg4
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