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Towards a Knowledge Graph Based Platform for Public Procurement [chapter]

Elena Simperl, Oscar Corcho, Marko Grobelnik, Dumitru Roman, Ahmet Soylu, María Jesús Fernández Ruíz, Stefano Gatti, Chris Taggart, Urška Skok Klima, Annie Ferrari Uliana, Ian Makgill, Till Christopher Lech
2019 Communications in Computer and Information Science  
To this end, in this short paper, we report our ongoing work for enabling procurement data value chains through a knowledge graph based platform with data management, analytics, and interaction.  ...  Public spending alone will soon exceed EUR 2 trillion per annum in the EU. Therefore, there is a pressing need for better insight into, and management of government spending.  ...  A second challenge will be turning this vast array of information into a semantic knowledge graph [17, 18] , an interconnected semantic knowledge organization structure using Web URIs and linked data  ... 
doi:10.1007/978-3-030-14401-2_29 fatcat:6aicd5gy4jfihjakoxofshbah4

Towards a knowledge graph for open healthcare data

Kawtar YOUNSI DAHBI
2020 International Journal of Advanced Trends in Computer Science and Engineering  
In this, work we propose to construct the KG4OGD, a knowledge graph that drives the transformation of open government raw data to valuable knowledge.  ...  We implemented our model for the public healthcare domain as a high interest has arisen toward this domain due to the international pandemic context.  ...  In [30] , authors propose the construction of a KG for the public procurement domain, the proposed approach covers semantic modeling of data based on two domain ontologies and their semantic lifting.  ... 
doi:10.30534/ijatcse/2020/216942020 fatcat:pyl5yxism5dmlh26hoojzrv2gq

TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data

Ahmet Soylu, Oscar Corcho, Brian Elvesæter, Carlos Badenes-Olmedo, Tom Blount, Francisco Yedro Martínez, Matej Kovacic, Matej Posinkovic, Ian Makgill, Chris Taggart, Elena Simperl, Till C. Lech (+2 others)
2021 Semantic Web Journal  
the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.  ...  , and cross-lingual procurement knowledge graph.  ...  . / TheyBuyForYou platform and knowledge graph Fig. 9 . A SPARQL query spanning over the integrated procurement and company data sets.  ... 
doi:10.3233/sw-210442 fatcat:zrauenuiizaizkfoiegabhukse

Integration of public procurement data using linked data

Jindřich Mynarz
2014 Journal of Systems Integration  
It organizes common data integration tasks, including schema alignment, data translation, entity reconciliation, and data fusion, into a sequence of repeatable steps towards achieving a unified view of  ...  In this paper, we propose a generic workflow for data integration based on linked data and semantic web technologies.  ...  Introduction The presented paper offers a high-level workflow for data integration of public procurement data using linked data principles and semantic web technologies.  ... 
doi:10.20470/jsi.v5i4.213 fatcat:p55dvsy3fja7rabmooenxu7y5y

AI Assisted Clinical Diagnosis Treatment, and Development Strategy

Ming Kong, Qianfeng He, Lanjuan Li
2018 Chinese Journal of Engineering Science  
Thus, we propose a nationwide healthcare open data cloud platform that can open new data markets, improve the integration of healthcare data, and provide new services pertaining to knowledge discovery  ...  Second, using medical knowledge to construct an intelligent diagnosis and treatment model with the capability to combine multimodal data analysis and structured knowledge reasoning is currently the focus  ...  AI technology in semantic analysis, data mining, and text understanding in the massive open accessible medical data facilitates the automatic construction of medical semantic networks and knowledge graphs  ... 
doi:10.15302/j-sscae-2018.02.013 fatcat:pyioima3s5c6zp4k63vaosxey4

Hidden information retrieval and evaluation method and tools utilising ontology reasoning applied for financial fraud analysis

Mariusz Chmielewski, Piotr Stąpor, N. Mastorakis, V. Mladenov, A. Bulucea
2018 MATEC Web of Conferences  
Advances in automatic reasoning and the availability of semantic processing tools encourage analysts to extend existing link analysis methods towards contextual data processing.  ...  The paper summarizes a semantic association evaluation and reasoning method, utilising domain and problem solving ontologies.  ...  Most recent development of IAFEC semantic tools move towards utilizing Neo4J graph database and triple stores in order to eliminate memory limitations.  ... 
doi:10.1051/matecconf/201821002019 fatcat:cp3xblbpjfhvtexs3nhjhxsumq

Graph-based ontology reasoning for formal verification of BREEAM rules

B. Kamsu-Foguem, F.H. Abanda, M.B. Doumbouya, J.F. Tchouanguem
2019 Cognitive Systems Research  
Acknowledgements This work was jointly funded by Toulouse INP, Ecole Nationale d'Inge ´nieurs de Tarbes, Universite ´de Toulouse, France through the ''Soutien a `la Mobilite ´Internationale (SMI)" and  ...  Hence, a semantic converter has been introduced for converting knowledge modelled in Conceptual Graphs into RDF (Yao & Etzkorn, 2006) .  ...  Graph homomorphism is a technique used to check whether a given graph is more specific than the other, by specifying general con cepts and relations towards more Certification I . ---------------------  ... 
doi:10.1016/j.cogsys.2018.12.011 fatcat:j4ly4trtrbe3bk4q6kblnonmvm

Semantic Web and Knowledge Graphs for Industry 4.0

Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali
2021 Applied Sciences  
Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations.  ...  Our proposed RGOM can be used to generate a knowledge graph capable of providing answers in response to any real-time query.  ...  Knowledge Graphs Knowledge graph integrate data from heterogeneous sources in a given domain and provide a framework for analytic and data sharing among applications.  ... 
doi:10.3390/app11115110 fatcat:gvmzbbx665dt7p7tm7v5ubqnz4

Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil [chapter]

Rommel N. Carvalho, Shou Matsumoto, Kathryn B. Laskey, Paulo C. G. Costa, Marcelo Ladeira, Laécio L. Santos
2013 Lecture Notes in Computer Science  
Probabilistic OWL (PR-OWL) uses MEBN's strengths to provide a framework for building probabilistic ontologies (PO), a major step towards semantically aware, probabilistic knowledge fusion systems [4] .  ...  Therefore, it is natural to change the focus from data fusion to knowledge fusion.  ...  Conclusion The problem that CGU and many other Agencies have faced of processing all the available data into useful knowledge is starting to be solved with the use of probabilistic ontologies, as the procurement  ... 
doi:10.1007/978-3-642-35975-0_2 fatcat:ujndunmkzjhefglma6zo2qy53u

On-demand Text Analytics and Metadata Management with S4

Marin Dimitrov, Alex Simov, Yavor Petkov
2015 Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics  
The Self-Service Semantic Suite (S4) provides an integrated platform for cloud-based text analytics and Linked Data management as-a-service, so that companies in the early stage of evaluating and adopting  ...  Semantic technologies provide a new, promising approach for smart data management and analytics.  ...  into an RDF knowledge graph, so that semantic search and discovery can be utilised for data analytics.  ... 
doi:10.5220/0005521400550062 dblp:conf/closer/DimitrovSP15 fatcat:5dzmkqujtvat3eup6hkd2sddui

Business Operating Environment for Service Clouds

Sven Graupner, Sujoy Basu, Sharad Singhal
2011 2011 Annual SRII Global Conference  
Much less attention is paid to what the service customer needs to do in order to procure, integrate, or consume a service within the context of a service supply chain.  ...  The SBOE acts like an operating system within which the customer can connect, combine and transform services purchased from others into higher level abstractions that are relevant for business.  ...  need to be procured and integrated into service supply chains.  ... 
doi:10.1109/srii.2011.11 fatcat:kgbbnzgu5rh2lms3jufwqftkcu

Semantic 3D City Database — An enabler for a dynamic geospatial knowledge graph

Arkadiusz Chadzynski, Nenad Krdzavac, Feroz Farazi, Mei Qi Lim, Shiying Li, Ayda Grisiute, Pieter Herthogs, Aurel von Richthofen, Stephen Cairns, Markus Kraft
2021 Energy and AI  
models into semantic triples forming an Abox of a geospatial knowledge graph.  ...  This would matter if both databases were integrated into a bigger system, like TWA, and turned into knowledge bases.  ... 
doi:10.1016/j.egyai.2021.100106 fatcat:piws5whnwjclvixvqfg3up576y

Curation Technologies for the Construction and Utilisation of Legal Knowledge Graphs

Julian Moreno Schneider, Georg Rehm
2018 Zenodo  
The final platform will eventually bundle a set of semantic services into a curation technology system, which is meant to assist users to process legal and regulatory content and data more efficiently  ...  Under the umbrella of the European project LYNX we currently develop technologies for the construction of a legal knowledge graph and a corresponding system that makes use of this legal knowledge graph  ...  of a consortium of ten partners. 1 Lynx aims to create a knowledge graph of legal and regulatory data towards compliance, in which heterogeneous data sources from different jurisdictions, languages and  ... 
doi:10.5281/zenodo.4720282 fatcat:rhdz6p4cjbeebooqu3amhd2534

Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? [article]

Manas Gaur, Keyur Faldu, Amit Sheth
2020 arXiv   pre-print
This article demonstrates how knowledge, provided as a knowledge graph, is incorporated into DL methods using knowledge-infused learning, which is one of the strategies.  ...  This aspect is missing in early data-focused approaches and necessitated knowledge-infused learning and other strategies to incorporate computational knowledge.  ...  This article demonstrates how knowledge, provided as a knowledge graph, is incorporated into DL methods using knowledge-infused learning, which is one of the strategies.  ... 
arXiv:2010.08660v4 fatcat:hcoahll2ivhdpcix7t6ezh425y

A decade of Semantic Web research through the lenses of a mixed methods approach

Sabrina Kirrane, Marta Sabou, Javier D. Fernández, Francesco Osborne, Cécile Robin, Paul Buitelaar, Enrico Motta, Axel Polleres, Christoph Schlieder
2020 Semantic Web Journal  
More recently, data-driven, bottom-up approaches have been proposed that offer a quantitative analysis of the evolution of a research domain.  ...  In the Semantic Web area, initially topic and trend detection was primarily performed through qualitative, top-down style approaches, that rely on expert knowledge.  ...  By 2016, a new trend towards needs-based, lightweight data integration is observed [2] . For the future, Bernstein et al.  ... 
doi:10.3233/sw-200371 fatcat:iwuc6rxtg5hlzitv4gulnrqnki
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