QuenchML: A semantics-preserving markup language for knowledge representation in quenching

2013 ◽  
Vol 27 (1) ◽  
pp. 65-82
Author(s):  
Aparna S. Varde ◽  
Mohammed Maniruzzaman ◽  
Richard D. Sisson
Keyword(s):  
Knowledge Representation ◽  
Domain Knowledge ◽  
Materials Science ◽  
Heat Treating ◽  
Markup Language ◽  
Domain Experts ◽  
Domain Specific ◽  
Extensible Markup ◽  
The Given ◽  
Representation Of Knowledge

AbstractKnowledge representation (KR) is an important area in artificial intelligence (AI) and is often related to specific domains. The representation of knowledge in domain-specific contexts makes it desirable to capture semantics as domain experts would. This motivates the development of semantics-preserving standards for KR within the given domain. In addition to the storage and analysis of information using such standards, the effect of globalization today necessitates the publishing of information on the Web. Thus, it is advisable to use formats that make the information easily publishable and accessible while developing KR standards. In this article, we propose such a standard called Quenching Markup Language (QuenchML). This follows the syntax of the eXtensible Markup Language and captures the semantics of the quenching domain within the heat treating of materials. We describe the development of QuenchML, a multidisciplinary effort spanning the realms of AI, database management, and materials science, considering various aspects such as ontology, data modeling, and domain-specific constraints. We also explain the usefulness of QuenchML in semantics-preserving information retrieval and in text mining guided by domain knowledge. Furthermore, we outline the significance of this work in software tools within the field of AI.

An Electronic Study Form to Support Collaborating Agents in the Management of Clinical Knowledge

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter
Keyword(s):  
Procedural Knowledge ◽  
Health Care Provision ◽  
Markup Language ◽  
Artificial Agents ◽  
Care Provision ◽  
Clinical Knowledge ◽  
Extensible Markup ◽  
Implementation Level ◽  
Biological Organisms ◽  
Representation Of Knowledge

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.

Standard Method for Describing an Electronic Patient Record Template: Application of XML to Share Domain Knowledge

2000 ◽  
Vol 39 (01) ◽  
pp. 50-55 ◽  
Author(s):  
S. Yamazaki ◽  
Y. Satomura
Keyword(s):  
Standard Method ◽  
Clinical Guidelines ◽  
Domain Knowledge ◽  
Electronic Patient Record ◽  
Patient Record ◽  
Extensible Markup Language ◽  
Markup Language ◽  
Dynamic Changes ◽  
Extensible Markup

Abstract:A Template Definition Language (TDL) was developed to share knowledge of how to construct an electronic patient record (EPR) template. Based on the extensible markup language XML, TDL has been designed to be independent of EPR platforms or databases. Our research of TDL was conducted through evaluation of the description of various templates in the currently available EPRs and through comparisons with some electronic clinical guidelines. We conclude that TDL is sufficient for the objective but still needs improvement of the algorithm for describing dynamic changes.

scholarly journals Semantic Representation of Domain Knowledge for Professional VR Training

2021 ◽  
pp. 139-150
Author(s):  
Jakub Flotyński ◽  
Paweł Sobociński ◽  
Sergiusz Strykowski ◽  
Dominik Strugała ◽  
Paweł Buń ◽  
...  
Keyword(s):  
Knowledge Representation ◽  
Domain Knowledge ◽  
Professional Training ◽  
Semantic Representation ◽  
Essential Element ◽  
Domain Experts ◽  
Training Systems ◽  
Web Standards ◽  
Domain Specific Knowledge ◽  
Vr Training

Domain-specific knowledge representation is an essential element of efficient management of professional training. Formal and powerful knowledge representation for training systems can be built upon the semantic web standards, which enable reasoning and complex queries against the content. Virtual reality training is currently used in multiple domains, in particular, if the activities are potentially dangerous for the trainees or require advanced skills or expensive equipment. However, the available methods and tools for creating VR training systems do not use knowledge representation. Therefore, creation, modification and management of training scenarios is problematic for domain experts without expertise in programming and computer graphics. In this paper, we propose an approach to creating semantic virtual training scenarios, in which users’ activities, mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We have verified the approach by developing a user-friendly editor of VR training scenarios for electrical operators of high-voltage installations.

Non-Extensible Markup Language

2014 ◽  
Author(s):  
Domenic Denicola
Keyword(s):  
Extensible Markup Language ◽  
Markup Language ◽  
Domain Specific ◽  
Extensible Markup ◽  
The Web

XML's steady descent into obscurity has become more and more apparent over the last few years. Developers, tool vendors, and browser implementers have all embraced HTML as the web's markup language, built on a substrate of JavaScript. Nothing epitomizes this shift more than the recent rise of web components: instead of standards committees dreaming up domain-specific XML vocabularies and hoping one day browsers would incorporate them, web components and the extensible web principles they embody allow authors to empower HTML with the same abilities XML once promised. The HTML of today is a truly extensible markup language. Where XML failed in this mission, both historically and practically, the web ecosystem routed around the damage of XML's influence by making HTML better suited for extensibility than ever before.

Sketch-Based Slice Interpretative Visualization for Stratigraphic Data

2019 ◽  
Vol 63 (6) ◽  
pp. 60505-1-60505-10 ◽  
Author(s):  
Richen Liu ◽  
Liming Shen ◽  
Xueyi Chen ◽  
Genlin Ji ◽  
Bin Zhao ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Flow Path ◽  
River Delta ◽  
Visualization System ◽  
Domain Experts ◽  
Geological Materials ◽  
Domain Specific ◽  
Underground Flow ◽  
Oil Gas

Abstract In this article, the authors propose a stratigraphic slice interpretative visualization system, namely slice analyzer. It enables the domain experts, i.e., geologists and oil/gas exploration experts, to interactively interpret the slices with domain knowledge, which helps them get a better understanding of stratigraphic structures and the distribution of the geological materials, e.g., underground flow path (UFP), river delta, floodplain, slump fan, etc. In addition to some domain-specific slice edit manipulations, a sketch-based sub-region partitioning approach is further presented to help users divide the slice into individual sub-regions with homologous characteristics according to their domain knowledge. Consequently, the geological materials they are interested in can be extracted automatically and visualized by the proposed geological symbol definition algorithm. Feedback from domain experts suggests that the proposed system is capable of interpreting the stratigraphic slice, compared with their currently used tools.

An Analysis of Description Logic Augmented with Domain Rules for the Development of Product Models

2010 ◽  
Vol 10 (2) ◽  
Author(s):  
Xenia Fiorentini ◽  
Sudarsan Rachuri ◽  
Hyowon Suh ◽  
Jaehyun Lee ◽  
Ram D. Sriram
Keyword(s):  
Knowledge Representation ◽  
Description Logic ◽  
Product Modeling ◽  
Rule Engine ◽  
Domain Experts ◽  
Domain Specific ◽  
Product Models ◽  
Structured Knowledge ◽  
Electromechanical Product

The languages and logical formalisms developed by information scientists and logicians concentrate on the theory of languages and logical theorem proving. These languages, when used by domain experts to represent their domain of discourse, most often have issues related to the level of expressiveness and need specific extensions. In this paper, we first analyze the requirements for the development of structured knowledge representation models for manufacturing products. We then explore how these requirements can be satisfied through the levels of logical formalisms and expressivity of a structured knowledge representation model. We report our analysis of description logic (DL) and domain-specific rules with respect to the requirements by giving an example of a product ontology developed with ontology web language-description logic (OWL) and augmented with semantic web rule language (SWRL) rules. Clearly, increasing the expressivity of a product ontology also improves that of domain-specific rules, but there exits the usual tradeoff between the expressivity of languages and the complexity of their reasoning tasks. We present a case study of an electromechanical product to validate the analysis and further show how the OWL-DL reasoner together with the rule engine can enable reasoning about the product ontology. We finally discuss the open issues such as capabilities and limitations related to the usage of DL, OWL, and SWRL for product modeling.

DOCUMENT-ORIENTED DEVELOPMENT OF CONTENT-INTENSIVE APPLICATIONS

2005 ◽  
Vol 15 (06) ◽  
pp. 975-993 ◽  
Author(s):  
JOSÉ LUIS SIERRA ◽  
BALTASAR FERNÁNDEZ-MANJÓN ◽  
ALFREDO FERNÁNDEZ-VALMAYOR ◽  
ANTONIO NAVARRO
Keyword(s):  
Production Process ◽  
Automatic Processing ◽  
Markup Language ◽  
Knowledge Based Systems ◽  
Domain Experts ◽  
Domain Specific ◽  
Knowledge Based ◽  
Incremental Strategy ◽  
Oriented Approach

In this paper we promote a document-oriented approach to the development of content-intensive applications (i.e., applications that critically depend on the informational contents and on the characterization of the contents' structure). This approach is the result of our experience as developers in the educational and in the hypermedia domains, as well as in the domain of knowledge-based systems. The main reason for choosing the document-oriented approach is to make it easier for domain experts to comprehend the elements that represent the main application's features. Among these elements are: the application's contents, the application's customizable properties including those of its interface, and the structure of all this information. Therefore, in our approach, these features are represented by means of a set of application documents, which are marked up using a suitable descriptive Domain-Specific Markup Language (DSML). If this goal is fully accomplished, the application itself can be automatically produced by processing those documents with a suitable processor for the DSML defined. The document-oriented development enhances the production and maintenance of content-intensive applications, because the applications' features are described in the form of human-readable and editable documents, understandable by domain experts and suitable for automatic processing. Nevertheless, the main drawbacks of the approach are the planning overload of the whole production process and the costs of the provision and maintenance of the DSMLs and their processors. These drawbacks can be palliated by adopting an incremental strategy for the production and maintenance of the applications and also for the definition and the operationalization of the DSMLs.

Research-Agenda For Process Simulation Dashboards

2021 ◽  
Author(s):  
Carlo Simon ◽  
Stefan Haag ◽  
Lara Zakfeld
Keyword(s):  
Traffic Management ◽  
Research Agenda ◽  
Domain Knowledge ◽  
Holistic Approach ◽  
Special Focus ◽  
Domain Experts ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Important Field ◽  
Simulation Results

The European Conference on Modelling and Simulation is a prominent but not the only conference showing possibilities and relevance of simulation. Meanwhile, it is an important field of research worldwide and current discussions about the industry of the future and especially the idea of digital twins for the simulation of forecasts in parallel to an existing reality increase its importance. All these efforts led to highly elaborated simulation modeling methods and tools that can be applied to different fields from air traffic management to zoo building. However, based on conference participations, literature research, and conversations with other researchers and practitioners, we observe that simulations are by far not being used as often as possible in day-to-day business. And if they are used, typically individual software solutions are developed that can hardly be transferred to other applications. So, how can we reduce the barriers for using simulation? Any simulation comes along with a profound domain knowledge, a modeling method, a tool for the definition and simulation of models, and the visualization of the simulation results. Different roles conduct these tasks: Domain experts deliver the domain specific knowledge and – as is the case for further members of staff – must be able to interpret the simulation results. Modeling and visualization experts develop the simulations but also deliver a proper presentation for the domain experts, probably without having a deeper understanding of these results. A decision on whether a simulation is conducted at all is made by management, possibly together with the information systems department. The latter roles need information concerning the benefits both in advance as well as in retrospect. Since we mainly work in the field of process modeling and simulation with the aid of Petri nets for production and logistics, the above made considerations encouraged further studies on the usage of simulation with a special focus on dashboard visualization of the simulation results in this field. A holistic approach includes the process of simulation development and use. The research agenda for which a grant could be won is explained within this paper and may animate other researchers to participate.

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