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Concepts, Methodologies, Tools, and Applications
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Product-related information can be integrated with the help of a product ontology, which can provide consensual definitions of concepts and interrelationships relevant in a product domain of interest. A product ontology is either given by a third party or results from ontology engineering. In both cases, the problem is how to assess its quality, and then select the "right" ontology. This chapter: (1) proposes a metrics suite for product ontology evaluation based on semiotic theory, and (2) demonstrates the feasibility and usefulness of the metrics suite using a supply chain model. The contribution of this research is the comprehensive metrics suite that takes into account the various quality dimensions of product ontology.
Data & Knowledge Engineering, 2005
A suite of metrics is proposed to assess the quality of an ontology. Drawing upon semiotic theory, the metrics assess the syntactic, semantic, pragmatic, and social aspects of ontology quality. We operationalize the metrics and implement them in a prototype tool called the Ontology Auditor. An initial validation of the Ontology Auditor on the DARPA Agent Markup Language (DAML) library of domain ontologies indicates that the metrics are feasible and highlights the wide variation in quality among ontologies in the library. The contribution of the research is to provide a theory-based framework that developers can use to develop high quality ontologies and that applications can use to choose appropriate ontologies for a given task.
2008
The objective of the Semiotic-based Ontology Evaluation Tool (S-OntoEval) is to evaluate and propose improvements to a given ontological model. The evaluation aims at assessing the quality of the ontology by drawing upon semiotic theory , taking several metrics into consideration for assessing the syntactic, semantic, and pragmatic aspects of ontology quality. We consider an ontology to be a semiotic object and we identify three main types of semiotic ontology evaluation levels: the structural level, assessing the ontology syntax and formal semantics; the functional level, assessing the ontology cognitive semantics and; the usability-related level, assessing the ontology pragmatics. The Ontology Evaluation Tool implements metrics for each semiotic ontology level: on the structural level by making use of reasoner such as the RACER System and Pellet (Parsia and Sirin, 2004) to check the logical consistency of our ontological model (TBoxes and ABoxes) and graph-theory measures such as Depth; on the functional level by making use of a task-based evaluation approach which measures the quality of the ontology based on the adequacy of the ontological model for a specific task; and on the usability-profiling level by applying a quantitative analysis of the amount of annotation. Other metrics can be easily integrated and added to the respective evaluation level. In this work, the Ontology Evaluation Tool is used to test and evaluate the SWIntO Ontology of the SmartWeb project.
Proceedings of the …, 2005
Increasing product complexity, growing competition, emerging globalization, and stronger customer focus force the majority of enterprises to network their own geographically dispersed sites and to extensively cooperate with customers or suppliers, introducing the need to share product information. Nowadays, Web-based Product Data Management (PDM) systems are emerging in order to offer support to the global supply chains that new TICs introduce. Integration of global supply chains implies three aspects: technical, syntactical and semantics integration. Internet and Web technology give support for both first aspects while the latter may be solved through the definition of ontologies, one of the pillars over which Semantic Web is built. An ontology is an explicit and formal specification of a shared conceptualization and provides a conceptual framework for talking about an application domain. This contribution presents an ontology for the domain of Complex Product modelling. It first introduces concepts related to the semantic Web and ontologies. Then, an overview of the Complex Product Modeling domain is presented. Finally, the proposed product ontology is discussed. PRoduct ONTOlogy (PRONTO) defines concepts, relations among them and axioms to be applied in the complex product modeling domain. It considers products with hybrid structures and concepts related to the variant management.
2011
Industries are transforming their business strategy from a product-centric to a more servicecentric nature by bundling products and services into integrated solutions. Such systems which offer value in use are commonly termed Product-Service Systems (PSS) and they tend to enhance the relationship between the provider and their customers. As the research related to Product-Service Systems is currently at a rudimentary stage, the development of a robust ontology for this area would be helpful. The purposes of developing a standardized ontology are that it could help researchers and practitioners to communicate and share their views without ambiguity and thus encourage the conception and implementation of useful methods and tools. In this report, an initial structure of a PSS ontology from the design perspective is proposed and evaluated. The primary objective of this ontology development is to aid clarity to the top-level concepts of PSS which would help to communicate these concepts ...
International Journal of Production Management and Engineering
Nowadays, the business area cannot be sustainable and efficient without the presence of the Supply Chain. However, Supply Chain Management is by no means an easy task. Experts, in their effort to achieve the most efficient Supply Chain Management, have turned their attention to the management of knowledge related to supply chains. Thus, they model the concepts and the semantic relationships between them in Supply Chain Networks and create conceptual models and ontologies. In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. For this purpose, 22 ontological models from different supply systems, from over 90 sources, have been collected, briefly presented and commented on. These models, although being an intersection in the effort to model business operations and delineate a good basis for businesses to engag...
Functional Thinking for …, 2011
Engineering Applications of Artificial Intelligence, 2011
Nowadays, it is quite common for collaborating organizations (or even different areas within a company) to develop and maintain their own product model. This situation leads to information duplication and its associated problems. Besides, traditional product models do not properly handle the high number of variants managed in today competitive markets. In addition, there is a need for an integrated product model to be shared by all the organizations participating in global supply chains (SCs) or all the areas within a company. One way to reach an intelligent integration among product models is by means of an ontology. PRoduct ONTOlogy (PRONTO) is an ontology for the product modeling domain, able to efficiently handle product variants. It defines and integrates two hierarchies to represent product information: the abstraction hierarchy (AH) and the structural one (SH). This contribution presents a ConceptBase formal specification of PRONTO that focuses on the structural hierarchy of products. This hierarchy is a tool to handle product information associated with the multiple available recipes or processes to manufacture a particular product or a set of similar products. The formal specification presented in the paper also includes mechanisms to infer structural information from the explicit knowledge represented at each of the AH levels: Family, VariantSet and Product. This proposal efficiently handles a great number of variants and allows representing product information with distinct granularity degrees, which is a requirement for planning activities taking place at different time horizons. PRONTO easily manages crucial features that should be taken into account in a product representation, such as the efficient handling of product families and variants concepts, composition and decomposition structures and the possibility of specifying constraints. To demonstrate the semantic expressiveness of the proposed ontology a food industry related case-study is addressed and discussed in detail.
Archeometric Analysis of a Group of Gold Artifacts in Burdur Museum (Turkey), 2024
In this article a catalog and archeometric analysis of a group of eleven artifacts of jewelry gold artifacts from the Burdur Museum are examined. The artifacts were brought to the museum through purchase. They were graded based on their forms: head jewelry, hand jewelry, neck jewelry, and bust. Two artifacts (earring, necklace pendulum) from the Iron Age and Classical Period; Two artifacts (earrings) from the Hellenistic Period; Six artifacts from the Roman Period (three earrings, two rings, busts); There is an artifact (ring) from the Late Roman-Early Byzantine Period. They are produced by different construction techniques: casting, wire, filigree, repousse, engraving and granulation. The earliest artifact dates from the Iron Age; Late period artifacts date back to the Early Byzantine Period. Since it is not allowed to take pieces from the artifact and use destructive methods in the analysis of the artifacts, the analyzes were carried out using non-destructive methods. Three analytical methods were applied: portable energy dispersive XRF (P-EDXRF), X-ray Radiography and µ-PIXE. Such microanalytical techniques are widely used in alloy characterization studies. Additionally, statistical SPSS analyzes of the artifacts were performed. In these analyses we are dealing with the use of pure gold and gold ore, the chemical components of alloys, the color difference caused by the combination of gold with silver and copper alloys, the alloy used in plating, and the copper ratios used in soldering. Among others some issues concerning manufacturing defects occurring during the production phase, artifacts that are recycled or secondary production, and distortions caused by overheating during soldering, are discussed.
The Impact of Jesus of Nazareth, vol. 2, 2021
The early Christians viewed Jesus, beyond his divine and human identity, as an accomplished philosopher who revealed to his disciples the highest philosophy. Jesus did not found a religion; he founded a school which resembled the philosophical schools of the time. Central to his school was the experience of teaching and learning. The goal of his school was the transformation of the human person, indeed the community, by way of successive stages of initiation. Both as catechetical instruction and through the independent schools, the church manifested its philosophical dimension. No wonder that, against this backdrop, the Gospel writers, the early apologists, and the early monastic writers depicted Jesus in philosophical postures, an image soon echoed by artistic compositions. // The book can be acquired via this link: https://scd.edu.au/product/the-impact-of-jesus-of-nazareth-historical-theological-and-pastoral-perspectives-2/
SILABUS PEMINATAN MATEMATIKA DAN ILMU-ILMU ALAM MATA PELAJARAN BIOLOGI SMA Satuan Pendidikan : SMA Kelas : XI KI 1 : 1. Menghayati dan mengamalkan ajaran agama yang dianutnya. KI 2 : 2. Menghayati dan mengamalkan perilaku jujur, disiplin, tanggung jawab, peduli (gotong royong, kerjasama, toleran, damai), santun, responsif dan proaktif dan menunjukan sikap sebagai bagian dari solusi atas berbagai permasalahan dalam berinteraksi secara efektif dengan lingkungan sosial dan alam serta dalam menempatkan diri sebagai cerminan bangsa dalam pergaulan dunia.
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