@article {Chaouni2022251,
	title = {Alignment of Software System Level with Business Process Level: Resolving Syntactic and Semantic Conflicts},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {13},
	number = {7},
	year = {2022},
	note = {cited By 0},
	pages = {251-262},
	abstract = {Information systems help organizations manage their entities with innovative technologies. These entities are often very different in nature. In this paper, we consider a business process level based on a set of Business Process Model and Notation (BPMN) models and a software system level based on a Unified Modeling Language (UML) class diagram. The differences between these entities make them difficult to align. In addition, an organization{\textquoteright}s BPMN models may be designed by different teams, which can cause syntactic and semantic heterogeneities. We present the first step of our proposed approach for aligning a software system level with a business process level without conflict (redundancy and lost information). Syntactic and semantic rules based on ontologies and other resources for comparing BPMN models are described, as well as a process for transforming BPMN models into UML model. {\textcopyright} 2022. International Journal of Advanced Computer Science and Applications.All Rights Reserved},
	keywords = {Business Process, Business process model and notation, Business process modeling, Class diagrams, Computer software, Information management, Information system alignment, Information systems, Information use, Ontology, Ontology{\textquoteright}s, Semantic aspect, Semantics, Software-systems, Syntactics, Systems alignments, Unified Modeling Language},
	doi = {10.14569/IJACSA.2022.0130733},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135807702\&doi=10.14569\%2fIJACSA.2022.0130733\&partnerID=40\&md5=c926fa84b9a85ef4d8f825d949952fb0},
	author = {Chaouni, S.B. and Habba, M. and Fredj, M.}
}
@conference {ElIdrissi2022,
	title = {On The Formalization of The TOGAF Content MetaModel Using Ontologies},
	booktitle = {2022 International Conference on Intelligent Systems and Computer Vision, ISCV 2022},
	year = {2022},
	note = {cited By 0},
	abstract = {Ontology, when well designed, provides a semantic model that facilitates human interpretation of models and reduces their ambiguity and complexity. A formal-based standards ontology can be processed automatically by computer programs, providing several benefits such as automatic knowledge discovery and inference, inconsistency detection, and interoperability. Several frameworks have been developed to control the complexity of the enterprise architecture. This paper focuses on the TOGAF framework and precisely on its content metamodel. It analyses and discusses the reported approaches to its formalization using ontologies. Additionally, it proposes some possible future directions to improve this work and enhance its adoption by the industrial world and academic communities. {\textcopyright} 2022 IEEE.},
	keywords = {Automatic knowledge discoveries, enterprise architecture, formalisation, Inconsistency detection, Interpretation of models, Meta model, Ontology, Ontology{\textquoteright}s, Semantic modelling, Semantic Web, Semantic-Web, Togaf framework},
	doi = {10.1109/ISCV54655.2022.9806063},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134300854\&doi=10.1109\%2fISCV54655.2022.9806063\&partnerID=40\&md5=6066972d0de16301bf7195b5ec177385},
	author = {El Idrissi, B. and Tetou, C. and Doumi, K.}
}
@conference {Ettahiri2022553,
	title = {A New Approach for a Dynamic Enterprise Architecture Model using Ontology and Case-based Reasoning},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {2},
	year = {2022},
	note = {cited By 0},
	pages = {553-560},
	abstract = {To meet the demands of a dynamic and constantly changing environment, (DRP) Disaster Recovery Plans, (BCP) Business Continuity Plans, change management, agile activities, and best practice guides are developed with the ultimate objective of providing enterprises with the tools to deal with change rapidly and flexibly. Starting from the premise that Enterprise architecture remains the instrument ensuring this alignment Strategy//business//IT, dynamic aspects should be present in the EA representation but also should be perceived in the reaction of enterprises managing the change. On the other hand, ontologies offer a formal and a shared representation of the domain studied; EA in our case. Once formalized, the representation became computable so, all the EA reactions became dynamic towards the triggers of change. To benefit from the previous experiences, Case-based reasoning is introduced in our approach allowing a problem resolution via similarity and adaptation of knowledge to the current context. Copyright {\textcopyright} 2022 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Business continuity plans, Case based reasoning, Casebased reasonings (CBR), Changing environment, Disaster recovery plan, enterprise architecture, Enterprise architecture modeling, Enterprise ontology, Memory architecture, New approaches, Ontology, Ontology{\textquoteright}s, Ontology-based},
	doi = {10.5220/0011079400003179},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140894102\&doi=10.5220\%2f0011079400003179\&partnerID=40\&md5=2fb612722e5a4402ee65bad0c47bf383},
	author = {Ettahiri, I. and Doumi, K. and Falih, N.}
}
@article {Daosabah2022163,
	title = {PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services},
	journal = {EAI/Springer Innovations in Communication and Computing},
	year = {2022},
	note = {cited By 0},
	pages = {163-190},
	abstract = {Among the motivations of the related work on semantic Web services is to find optimal solutions for the composition of Web services in an automatic and adaptive way, whose main goal is to solve a given problem. To this end, several works have been implemented to provide solutions for service composition, and among these solutions, we find the use of artificial intelligence (AI) planning systems. The idea introduced in this paper is based on the presentation of our service composition approach guided by the user-intention and the context awareness, in addition to a Context-Intentional Service Composition Architecture (CISCA) for implementing this approach. In the same way, we will present an AI planning technique to solve a composition problem, namely, the Planning Domain Description Language (PDDL) and the basis for reciprocal transformation with the Web Ontology Language (OWL). {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	keywords = {Artificial intelligence planning, Automatic composition, Birds, Context- awareness, Intention, Ontology, Ontology{\textquoteright}s, OWL-S, Planning domain description languages, Quality of service, Related works, Semantic Web, Services composition, Web services, Webs services, Websites},
	doi = {10.1007/978-3-030-77185-0_11},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125907756\&doi=10.1007\%2f978-3-030-77185-0_11\&partnerID=40\&md5=16113b5121fd2ffdba8c9fed915dd4e8},
	author = {Daosabah, A. and Guermah, H. and Nassar, M.}
}
@conference {Khannat2021768,
	title = {Configurable Process Mining: Semantic Variability in Event Logs},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {1},
	year = {2021},
	note = {cited By 0},
	pages = {768-775},
	abstract = {Configurable process model represents a reference model regrouping multiple business process variants. The configurable process models offer various benefits like reusability and more flexibility when compared to business process models. The challenges encountered while managing this type of models are related to the creation and the configuration. Recently, process mining offers techniques to discover, check conformance of models, and enhance configurable process models using a collection of event logs, that captures traces during the execution of process variants. However, existing works in configurable process discovery lack the incorporation of semantics in the resulting model. Historically, semantic process mining has been applied to event logs to improve process discovery with respect to semantic. Furthermore, from the best of our knowledge, configurable process mining approaches do not fully support semantics. In this paper, we propose a novel method to enrich the collection of event logs with configurable process ontology concepts by introducing semantic annotations that capture variability of elements present in the logs. This is a first step towards discovering a semantically enriched configurable process. Copyright {\textcopyright} 2021 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Business Process, Configurable process model discovery, Configurable process models, Data mining, Event logs, Information systems, Model discoveries, Ontology, Ontology{\textquoteright}s, Process Discovery, Process mining, Process variants, Reference modeling, Reusability, Semantics},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137949536\&partnerID=40\&md5=dd49bcf12987200729d1f5e491d2994b},
	author = {Khannat, A. and Sba{\"\i}, H. and Kjiri, L.}
}
@article {El-Bouroumi2021373,
	title = {Enhancing Business Process Modeling with Context and Ontology},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {9},
	year = {2021},
	note = {cited By 0},
	pages = {373-380},
	abstract = {Business process is a sequence of events and tasks that encompass actions and people. Therefore, a company that pays much attention to its business processes has to clearly identify and define the procedures of their relations. However, with the exponential evolution in ubiquitous computing, the exploitation of information spread all over different devices has become essential to further improve business processes. Hence, inthis paper we present a new approach for business process modeling that is based on context-awareness and ontology. We propose a set of meta-model for the elements that we find very important, taking into account the context and, in modeling, the business process. To validate our approach, we propose a concrete case study about transport system to provide a proof of the applicability as well as the utility of the model {\textcopyright} 2021. International Journal of Advanced Computer Science and Applications. All Rights Reserved.},
	keywords = {Business Process, Business process modeling, Context, Context ontology, Context- awareness, Exponentials, Metamodeling, New approaches, Ontology, Ontology{\textquoteright}s, Process engineering, Sequence of events, Systems engineering, Ubiquitous computing},
	doi = {10.14569/IJACSA.2021.0120942},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119425334\&doi=10.14569\%2fIJACSA.2021.0120942\&partnerID=40\&md5=da72c57b36a3bdb00125409bd14820d1},
	author = {El-Bouroumi, J. and Guermah, H. and Nassar, M.}
}
@conference {Khannat2020139,
	title = {Event logs pre-processing for configurable process discovery: Ontology-based approach},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	volume = {2020-June},
	year = {2020},
	note = {cited By 1},
	pages = {139-144},
	abstract = {Nowadays, process mining offers key tools for companies to discover and develop continuously their processes. Moreover, many research works focus on the application of process mining techniques to manage configurable process models. To provide configurable process models with high quality and less complexity using process mining techniques, the preparation of event logs before discovering processes is strongly required. Therefore, various approaches have introduced semantics to derive knowledge from process execution traces. Although, this knowledge is used for discovering variability rules or deriving process variants. However, existing works lack the discovery of semantically enriched configurable process models from event logs. Since event logs are usually combined with semantics and domain ontology for optimizing process mining applications, it seems to be important to introduce a new approach of semantically enriched configurable process discovery. It will be helpful during configuration, validation, and enhancement of configurable processes that are extracted from event logs. In this paper, we present a new framework for event logs preprocessing using ontologies. Our aim is to enrich a collection of event logs with concepts from ontologies as a first step towards discovering a semantically enriched configurable process. {\textcopyright} 2021 IEEE.},
	keywords = {Configurable process models, Data mining, Domain ontologies, New approaches, Ontology, Pre-processing, Process Discovery, Process execution, Process mining, Process variants, Semantics},
	doi = {10.1109/CiSt49399.2021.9357303},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103812408\&doi=10.1109\%2fCiSt49399.2021.9357303\&partnerID=40\&md5=c1a3e5ace97f4f0e5deedd34b987c311},
	author = {Khannat, A. and Sba{\"\i}, H. and Kjiri, L.}
}
@article {Yousfi2020655,
	title = {xMatcher: Matching extensible markup language schemas using semantic-based techniques},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {11},
	number = {8},
	year = {2020},
	note = {cited By 8},
	pages = {655-665},
	abstract = {Schema matching is a critical step in data integration systems. Most recent schema matching systems require a manual double-check of the matching results to add missed matches and remove incorrect matches. Manual correction is labor-intensive and time-consuming, however without it the results accuracy is significantly lower. In this paper, we present xMatcher, an approach to automatically match XML schemas. Given two schemas S and S2, xMatcher identifies semantically similar schema elements between S and S2. To obtain correct matches, xMatcher first transforms S and S2 into sets of words; then, it uses a context-based measure to identify the meanings of words in their contexts; next, it captures semantic relatedness between sets of words in different schemas; finally, it uses WordNet information to calculate the similarity values between semantically related sets and matches the pairs of sets whose similarity values are greater than or equal to 0:8. The results show that xMatcher provides superior matching accuracy compared to the state of the art matching systems. Overall, our proposal can be a stepping stone towards decreasing human assistance and overcoming the weaknesses of current matching initiatives in terms of matching accuracy. {\textcopyright} 2020, Science and Information Organization.},
	keywords = {Critical steps, Data integration, Data integration system, Hypertext systems, Labor time, Matching accuracy, Matching system, Matchings, Ontology, Schema matching, Semantic relatedness, Semantic similarity, Semantics, Wordnet, XML},
	doi = {10.14569/IJACSA.2020.0110880},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091018595\&doi=10.14569\%2fIJACSA.2020.0110880\&partnerID=40\&md5=dff26b18d541472b808a6d6c85f08039},
	author = {Yousfi, A. and El Yazidi, M.H. and Zellou, A.}
}
@article {7042325720111201,
	title = {ONTOLOGY EVOLUTION MANAGEMENT FOR SEMANTIC WEB SERVICES COOPERATION.},
	journal = {International Journal of Electronic Business Management},
	volume = {9},
	number = {4},
	year = {2011},
	pages = {310 - 321},
	abstract = {Interconnecting services is a complex task. A part of the complexity comes from the need to have a common, shared view of the information, ontology. Thus, there is a need for approaches that help to overcome the differences between service ontologies, and to manage the possible future evolution of the ontologies. The approach proposed in this paper provides a support for cooperation between services. Our proposition is useful for service architectures that evolve and grow in size constantly. The number of services increases and even services are changing to offer new alternatives. The aim is to provide a flexible way to partially automate the processing of ontology and related mapping evolution management. A case study in Telecom service cooperation illustrates the benefits of our approach. We apply our algorithm and implementation prototype p2OEManager to Message Billing Service ontology and Internet Billing Service ontology and particularly, we use our ontology agent model and proto},
	keywords = {Information \& communication technologies, Information technology, Internet industry, Internetworking (Telecommunication), Multi-agent System, Ontology, Ontology Evolution, Semantic integration (Computer systems), Semantic Service, Web services},
	issn = {17282047},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=bth\&AN=70423257\&site=ehost-live},
	author = {Slimani, Soumaya and Benslimane, Djamal and Baina, Salah and Baina, Karim}
}
