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Management and integration of virtual enterprise information on grid spaces through semantic web ontologies
Published in Manuel Martínez, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2020
A. Gehre, P. Katranuschkov, R.J. Scherer
Semantic but formal and processable modelling of services accessible in the distributed environment is an essential aspect of the developed ontology approach. For that purpose the OWL-S ontology specification for web services (W3C 2004b) is utilised. OWL-S makes web services machine understandable and supports automated web service composition and orchestration. Additionally, it facilitates service discovery, execution and monitoring. As OWL-S uses the OWL language, it allows for integration of services described within the core ontology definitions and facilitates modelling of Business Process Objects which strongly depend on a framework for defining process aspects coherently, integrated with definitions for organisational concepts (actors, access rights, etc.) and resources used as input, output or in side effects caused by the process.
Semantic Web Ontology Centred University Course Recommendation Scheme
Published in Archana Patel, Narayan C. Debnath, Bharat Bhushan, Semantic Web Technologies, 2023
There are well-established ontologies in different areas of the Semantic Web. GoodRelations is an ontology used across e-businesses on the Web. Foundational Model of Anatomy, International Classification of Diseases are some of the representations of domain knowledge in the medical domain [28]. Another popular application of ontology is for annotating web services using ontology. OWL-S, Web Service Modeling Ontology are some of the service description ontologies. Ontologies are frequently used in social media domains like Friend-of-a-friend ontology.
Quality Learning Management Computing
Published in Parveen Berwal, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Shashi Kant, Computer Applications in Engineering and Management, 2022
Parveen Berwal, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Shashi Kant
The main characteristics of SOC (Service-Oriented Computing) are web service invention, service selection, and service structure and the service request is composed in terms of service formulation to incorporate a business feature that uses WSDL to achieve service feature, but WSDL lacks semantical recognition. W3C, consisting of Web and Web Semantics, hence proposes web semantics. To express web semantics that specifies Service Profile, Process Model, and Service Grounding as a web semantics service, you may also use OWL-S (Ontology Web Language for Services). Where, with services, Service Profile is comparable Yellow page describing servility and relationship properties; Process Model refers to the business process of service describing the manner of work of service; Service Business the basis for such process model is that the protocol, message structure, and other metadata are in touch with what service is described as. However, numerous services are provided by many business systems and they are distinct or comparable. The approach of service providers is very distinct, loose, and dynamic in nature. Many researchers have, therefore, suggested certain approaches to compute resources such as changes in service demand, intelligentsia, and QoS (Quality of Service). Services are a distributed computing methodology, and the major focus of service choice is on the recognition of semantics and QoS. We offered, nevertheless, a characteristic strategy of service composition among the distance relationship services and a specified trend and adaption formulation in computer science. First, we use separate criteria to distance services and establish a similarity between services to extract determinants of service quality, and then we create a mathematical model of composing consumer attitudes according to that form. Second, to optimize the model, we employ the Particle Swarm Optimization technique that effectively composes services and meets service demand need. Finally, we use Amazon services to carry out experiments: this is a nice outcome.
Towards software reuse through an enterprise architecture-based software capability profile
Published in Enterprise Information Systems, 2022
Abdelhadi Belfadel, Emna Amdouni, Jannik Laval, Chantal Bonner Cherifi, Nejib Moalla
To build our OWL ontology, we first analysed the class hierarchy of our semantic modules (namely, TOGAF, BPMN, IAO and OWL-S). Then, we aligned existing ontologies’ classes to the BFO class hierarchy. By doing this alignment work, we improved the definition of key concepts of the TOGAF ontology by making them more clear, for example the class ‘TOGAF:core content’ regroups heterogeneous sub-classes as ‘TOGAF:function’, ‘TOGAF:process’, ‘TOGAF:capability’, ’TOGAF:process’, ‘TOGAF:role’ and ‘TOGAF:organisation unit’. As we can notice, the meaning of the ’TOGAF:core content’ class as it is defined within the TOGAF ontology is confusing and ambiguous regarding the description of the kind of data that it covers, i.e. does it refer to functions? Roles? Processes? Dispositions? Objects? Or data items? In order to remove this confusion and inconsistency, we first defined the class ‘TOGAF:content classification’ as a ’BFO:entity’ and then we defined the classes like ’TOGAF:function’, ’TOGAF:role’, ’TOGAF:capability’ as sub-classes of ‘TOGAF:core content’ and ’BFO:specifically dependent continuant’ given that they describe a continuant that inheres in or is borne by other entities. As consequence, the meanings of theses sub-classes are more explicit and clear under the BFO framework.
A context-based service matching approach towards functional reliability for industrial systems
Published in Enterprise Information Systems, 2019
Chengxi Huang, Li Da Xu, Hongming Cai, Guoqiang Li, Jiawei Du, Lihong Jiang
In the area of semantic service matchmaking, a large body of work exists, including non-logic-based matching, logic-based matching and hybrid matching. Logic based semantic matching of services uses service description languages such as OWL-S, WSML and SAWSDL. To share knowledge coming from disparate and heterogeneous environments, services are described with knowledge given by a well-defined ontologies (Nacer and Aissani 2014). Ontologies play an essential role in interoperability of services thanks to the structured vocabularies that describe a formal specification of shared conceptualization they provided. Currently, most existing researches concerning service matching and locating (such as LARKS(Sycara et al. 2002), iSeM(Klusch and Kapahnke 2012), OWLS-MX(Klusch, Fries, and Sycara 2009a), (Kiefer and Bernstein 2008) etc.) are based on descriptive information such as signature (Input and Output), specification (Precondition and Effect) of independent services.