The Need for Taxonomies in the Ontological Approach for Interoperability of Heterogeneous Information Models

Author(s):  
Aaron M. Costin ◽  
Charles Eastman ◽  
Raja R. A. Issa
Author(s):  
Farhad Ameri ◽  
Christian McArthur

Manufacturing supply chains are increasingly becoming global, virtual and short-lived in order to improve their agility and dynamic adaptability to rapid changes in today’s volatile market. In this context, online marketplaces for manufacturing services have become attractive venues for rapid development of supply chain relationships. Despite their numerous benefits, the existing online markets have failed in adequately automating the supply chain deployment process. Heavy reliance of the existing online markets on human agents for formulating supplier queries and evaluating the obtained results can be mainly attributed to the informal nature of the information models used in these markets. To enable active involvement of machine agents in supply chain deployment, the underlying information models that support online markets should represent the semantics of information in a formal and machine-interpretable fashion. This paper introduces Manufacturing Service Description Language (MSDL) as a formal ontology for description of suppliers’ capability at different levels of abstraction including process-level, machine-level, and system level. Also, an agent-based framework is proposed in this paper that facilitates automated discovery and evaluation of potential manufacturing partners based on the MSDL description of the services they provide.


2021 ◽  
Author(s):  
Yu.I. Molorodov ◽  
O.V. Kasatkin

One of the ways to build information models is ontological modeling. The use of ontologies greatly facilitates the exchange of data between embedded models and utilities for the digital representation of an object or a real-world system, sometimes called “digital twin” (DT). It is also important to establish a correspondence between the DT, people and external programs. Based on the dictionary of the main terms, classes, objects of the subject area and the relations between them, we have built an ontology of the hydroelectric dam DT.


Author(s):  
R.L. Novohrudska

The paper presents the approach to Internet knowledge portals design based on ontologies. Internet knowledge portals provide users with access to heterogeneous loosely coupled data and information resources of various subject domains. Using such portals as a single access point greatly simplifies the work with information presented on the Internet. In the case of Internet portals representing engineering subject domains information their environment concentrate not only information resources and data, but also a large number of computing resources and web-services that are used to perform certain calculation tasks of engineering subject domains. The ontological approach to Internet knowledge portals design allows to represent and integrate heterogeneous information and computing resources in the process of such portals data and knowledge structuring and systematizing. It is proposed to use ontology as portal knowledge representation model. The Internet knowledge portal general ontology is represented by a system of four interconnected components. The structure of such a system is described, the basic elements of its ontologies, as well as the relations between them, are distinguished. The ontology elements are formalized that allows to organize and optimize semantic search through the Internet knowledge portals information space.


2020 ◽  
Vol 5 ◽  
pp. 22-28
Author(s):  
S.V. Kuleshov ◽  
◽  
A.A. Zaytseva ◽  
S.P. Levashkin ◽  

Purpose The COVID-19 pandemic is creating serious challenges for modern society that leads to develop new information models and methods of digital monitoring not only of the spread of the virus, but also of the socio-economic environment. Materials and methods: As sources for clarifying the parameters of such models, it is advisable to choose not a limited set of predefi ned Internet sources, but unstructured media data on an unlimited set of resources, which leads to the need to build a system for complex monitoring of social phenomena. Such system can supplement and correct mathematical and information models for the spread of viruses, aimed at minimizing the damage caused by any pandemic. Results: It is proposed to create a software system that includes a Data Retrieving subsystem (for collecting and preprocessing media data) combined with a headless browser. This allows to build a system for monitoring of social phenomena, complementing mathematical and information models of the spread of viruses, aimed at minimizing the damage they cause. The feature of developed system is the using of a natural language processing framework based on the associative-ontological approach, and software implementation of the adaptive-behavioral SEIR model, as well as a subsystem for interpreting the collected data, generating metadata for identifying and correcting the model. Conclusions: The proposed system allows to make more balanced management decisions based on the analysis of the current situation in the infosphere. An additional advantage of the system is the ability to identify poorly predictable reactions of society to certain events expressed in media content.


Author(s):  
F. Beck ◽  
A. Borrmann ◽  
T. H. Kolbe

Abstract. The heterogeneous character of information models results in communication barriers between subsystems in railway organizations dealing with Building Information Modeling (BIM) and Geographic information systems (GIS). The integration of information is a promising way to bridge the heterogeneity of information models and satisfy the need for a more efficient communication. Integration efforts exploited in expert literature are often referenced using umbrella terms like “BIM-GIS Integration” or “GeoBIM”, although dealing with different challenges and addressing different purposes. This paper highlights the need for a differentiation between integration efforts covered by the umbrella term “BIM-GIS integration”. For this, a new approach for the categorization of information integration efforts was developed based on a literature research. Afterwards, challenges concerning information integration efforts in the field of “BIM-GIS Integration” were exploited and assigned to the respective categories to illustrate the importance of differentiation between heterogeneous information integration efforts.


2021 ◽  
Vol 10 (12) ◽  
pp. 807
Author(s):  
Stefan F. Beck ◽  
Jimmy Abualdenien ◽  
Ihab H. Hijazi ◽  
André Borrmann ◽  
Thomas H. Kolbe

Information models from the domains Building Information Modeling (BIM) and Urban Information Modeling (UIM) are generally considered as information silos due to their heterogeneous character. These information silos can be bridged through linking where corresponding objects are identified and linked subsequently. However, whether two objects are considered as corresponding might depend on the scenario for which the links are created. The dependency of the link creation and the scenario refers to the term contextual linking and is analyzed in this paper with respect to building and city models. Therefore, different situational aspects influencing the link creation are discussed. Afterwards, the issue of contextual linking is demonstrated based on three different integration scenarios. In summary, this paper has three major outcomes: First, this paper introduces an application-oriented perspective on information integration and emphasize the role of the application when linking heterogeneous information models. Second, this paper shows that linking heterogeneous information models from the domains BIM and UIM at instance level depends on the scenario. Third, the results of the discourse about contextual linking serve as a framework supporting the design and development of artifacts for linking heterogeneous information models from the domains BIM and UIM.


WRPMD'99 ◽  
1999 ◽  
Author(s):  
P. Costa ◽  
A. Esposito ◽  
C. Gualtieri ◽  
D. Pianese ◽  
G. Pulci Doria ◽  
...  

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