@article{fareedi_semantic_2025,

title = {Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System},

author = {A. A. Fareedi and S. Gagnon and A. Ghazawneh and R. Valverde},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009278332&doi=10.3390%2ffi17060245&partnerID=40&md5=72bd14d033887f72e7e0c8a6a1451415},

doi = {10.3390/fi17060245},

issn = {19995903 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {Future Internet},

volume = {17},

number = {6},

abstract = {Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques. © 2025 by the authors.},

note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},

keywords = {Data integration, Data interoperability, Federated information systems, Federated ontology, Graph framework, Interoperability, Knowledge graphs, Knowledge management, Medical computing, Ontology, Ontology's, Ontop, Query processing, Semantic interoperability, Semantic Web, Semantics, Virtual knowledge, virtual reality, Virtualization, Virtualized knowledge graph},

pubstate = {published},

tppubtype = {article}

}

@article{azzi_scoring_2023,

title = {Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements},

author = {S. Azzi and A. Assi and S. Gagnon},

editor = {Vlachidis A. Garoufallou E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172082147&doi=10.1007%2f978-3-031-39141-5_17&partnerID=40&md5=f2d307e9185aca3ae5a69c31e8e4440a},

doi = {10.1007/978-3-031-39141-5_17},

issn = {18650929},

year  = {2023},

date = {2023-01-01},

journal = {Communications in Computer and Information Science},

volume = {1789 CCIS},

pages = {203–208},

abstract = {The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {ISBN: 9783031391408 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Competency question, Fitting semantics, Formalisation, Ontological communities, Ontology, Ontology engineering, Ontology reuse, Ontology's, PNADO, Reuse, Semantic requirement, Semantic Web, Semantics},

pubstate = {published},

tppubtype = {article}

}

@article{davoust_collaborative_2009,

title = {Collaborative building, sharing and handling of graphs of documents using P2P file-sharing},

author = {A. Davoust and B. Esfandiari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650747536&doi=10.1007%2f978-3-642-05290-3_107&partnerID=40&md5=108722ad65a39a4289e6dd4aa6ceea7d},

doi = {10.1007/978-3-642-05290-3_107},

issn = {03029743},

year  = {2009},

date = {2009-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {5872 LNCS},

pages = {888–897},

abstract = {We are interested in creating a peer-to-peer infrastructure for the collaborative creation of knowledge, with no centralized point of control. We show how documents in a P2P file-sharing network can be interlinked, using a naming scheme based on the document schema and content, rather than on the document location. The interlinked documents can be seen as a distributed graph of documents, for which we define a class of graph queries supported by our file-sharing system. © Springer-Verlag 2009.},

note = {ISBN: 3642052894; 9783642052897 

Place: Vilamoura},

keywords = {Associative storage, Cams, Distributed computer systems, File Sharing, File sharing networks, File-sharing system, Graph queries, Internet, Peer to peer, Peer to peer networks, Peer-to-peer infrastructure, Semantic Web, Semantics},

pubstate = {published},

tppubtype = {article}

}

@article{davoust_towards_2008,

title = {Towards semantically enhanced peer-to-peer file-sharing},

author = {A. Davoust and B. Esfandiari},

editor = {Herrero P. Tari Z. Meersman R.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650744550&doi=10.1007%2f978-3-540-88875-8_120&partnerID=40&md5=5373907b9bff2808930fda1955dddee8},

doi = {10.1007/978-3-540-88875-8_120},

issn = {03029743},

year  = {2008},

date = {2008-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {5333},

pages = {937–946},

abstract = {We characterize publication and retrieval of documents in peer-to-peer file-sharing systems and contrast them with query answering in peer-to-peer database systems. We show that the simplicity of file-sharing systems avoids many problems faced by P2P database systems. We propose a simple and open meta-model for documents and meta-data, for the purpose of expressing arbitrary relations between documents, peers, and file-sharing communities. Such relations in effect define a semantic enhancement to P2P file-sharing systems and enable the distributed emergence of knowledge. We illustrate our study with the description of our system, which distributes queries only to relevant peers, and can translate queries across different meta-data schemas. © Springer-Verlag Berlin Heidelberg 2008.},

note = {ISBN: 9783540888741 

Publisher: Springer Verlag},

keywords = {Distributed computer systems, Electronic document exchange, File Sharing, File-sharing system, Metadata, P2p file sharing systems, Peer to peer, Peer to peer networks, Peer-to-peer database, Peer-to-peer file sharing, Peer-to-peer file sharing systems, Query processing, Semantic enhancements, Semantic Web},

pubstate = {published},

tppubtype = {article}

}