Managing Vagueness with Fuzzy in Hierarchical Big Data:INNS Conference on Big Data 2015 Program San Francisco, CA, USA 8-10 August 2015

AbstractOut of the web of linked open data, comes a sense of networked “Big Data.” This large scale interconnected data is hierarchical, and often messy and full of subjective bias particularly when mass collaboration is concerned (e.g. wikipedia). In this paper we apply fuzzy set theory, specifically the X-μ approach which is shown to be more efficient than a standard fuzzy approach, to attributes within linked data. We look at hierarchical structures, using an example from the films subset of the DBpedia data repository. The hierarchical nature of film categories lends itself well to our application, and we apply fuzzy models to handle the vagueness in attributes such as film length, film budget, and box office takings

Динамическая структура современных инновационных предприятий

New trends in the modern interpretation of the concept of «enterprise» is related to its development over time, a change in its structure as a result of adaptation to the dynamic environment, with the establishment of links with other organizations and enterprises. In this case, ontologies play a key role as a tool for providing «cross-cultural» (in the technical sense) between systems. The article highlights the problem of merging and splitting of ontologies, viewed as a necessary condition for the survival of enterprises in the conditions, when there is a merger or division. Was taken ontology and formal analysis was applied concepts for example, the restructuring of the commercial bank. Formal analysis of concepts we used to find a set of concepts, which will be a way to merge the local ontologies in the global financial ontology. Environmental changes occur very often and quickly. Adaptation and modification of ontologies for the socialized enterprises is very labor costs, as they require semantic information processing. We decided to use the method of formal analysis of concepts, since it allows you to apply a certain degree of process automation.Новые тенденции в современной трактовке понятия «предприятие» связаны с развитием его во времени, изменением его структуры как результата адаптации к динамичной среде, с установлением связи с другими организациями и предприятиями. В этом случае онтологии играют ключевую роль как инструмент, обеспечивающий «межкультурные» (в техническом смысле) связи между системами. В статья освещены проблемы слияния и расщепления онтологий, рассматриваемые как необходимое условие для выживания предприятий в условиях, когда происходит их слияние или разделение. Была взята онтология и был применён формальный анализ концептов для примера реструктуризации коммерческого банка. Формальный анализ концептов нами использован для того, чтобы найти набор концептов, по которым будет производиться способ слияния локальных онтологий в глобальную финансовую онтологию. Изменения окружающей среды происходят очень часто и быстро. Адаптация и модификация онтологий для социализированных предприятий очень трудозатраты, так как они требуют семантической обработки информации. Мы решили применить метод формальных аналитических понятий, так как это позволяет применить определенную степень автоматизации процесса

Formalization of semantic annotation for systems interoperability in a PLM environment

International audienceNowadays, the need for systems collaboration across enterprises and through different domains has become more and more ubiquitous. Due to the lack of standardized models or architecture, as well as semantic mismatching and inconsistencies, research works on information and model exchange, trans-formation, discovery and reuse are carried out in recent years. One of the main challenges in these researches is to overcome the semantic gap between enterprise applications along any product lifecycle, involving many distributed and heterogeneous enterprise applications. We propose, in this paper, an approach for semantically annotating different knowledge views (business process models, business rules, conceptual models, and etc.) in the Product Lifecycle Management (PLM) environment. These formal semantic annotations will make explicit the tacit knowledge generally engraved in application models and act as bridges to support all actors in along the product lifecycle. A case study based on a specific manufacturing process will be presented for demonstrating how our semantic annotations can be applied in a Business to Manufacturing (B2M) interoperability contex

Semantic Annotation Model Definition for Systems Interoperability

ISBN 978-3-642-25125-2International audienceSemantic annotation is one of the useful solutions to enrich target's (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. This paper identifies three main components of semantic annotation, proposes for it a formal definition and presents a survey of current semantic annotation methods. At the end, we present a simple case study to explain how our semantic annotation proposition can be applied.The survey presented in this paper will be the basis of our future research on models, semantics and architecture for enterprises systems interoperability during the product lifecycle

Ontology translation by ontology merging and automated reasoning

Abstract. Ontology translation is one of the most difficult problems that webbased agents must cope with. An ontology is a formal specification of a vocabulary, including axioms relating its terms. Ontology translation is best thought of in terms of ontology merging. The merge of two related ontologies is obtained by taking the union of the terms and the axioms defining them. We add bridging axioms not only as “bridges ” between terms in two related ontologies but also to make this merge into a complete new ontology for further merging with other ontologies. Translation is implemented using an inference engine (OntoEngine), running in either a demand-driven (backwardchaining) or data-driven (forward chaining) mode. We illustrate our method by describing its application in an online ontology translation system, OntoMerge, which translates a dataset in the DAML notation to a new DAML dataset that captures the same information, but in a different ontology. A uniform internal representation, Web-PDDL is used for representing merged ontologies and datasets for automated reasoning. 1

Why, Where and How to use Semantic Annotation for Systems Interoperability

ISSN 2247-6040International audienceSemantic annotation is one of the useful solutions to enrich target's (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. This paper identifies three main components of semantic annotation, gives a formal definition of semantic annotation method and presents a survey of current semantic annotation methods which include: languages and tools that can be used to develop ontology, the design of semantic annotation structure models and the corresponding applications. The survey presented in this paper will be the basis of our future research on models, semantics and architecture for systems interoperability

Applying the levels of conceptual interoperability model in support of integratability, interoperability, and composability for system-of-systems engineering

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. The model was successfully applied in various domains of systems, cybernetics, and informatics

Formal Semantic Annotations for Models Interoperability in a PLM environment

Nowadays, the need for system interoperability in or across enterprises has become more and more ubiquitous. Lots of research works have been carried out in the information exchange, transformation, discovery and reuse. One of the main challenges in these researches is to overcome the semantic heterogeneity between enterprise applications along the lifecycle of a product. As a possible solution to assist the semantic interoperability, semantic annotation has gained more and more attentions and is widely used in different domains. In this paper, based on the investigation of the context and the related works, we identify some existing drawbacks and propose a formal semantic annotation approach to support the semantics enrichment of models in a PLM environment