Domain ontology driven composable simulation framework

The simulation composability is one of important development directions in simulation domain. The key issue is the semantic composability. Currently there is no feasible approach to realize the effective semantic representation and composition of simulation components. Based on domain knowledge and Web Ontology Language (OWL), this paper proposes a composable simulation framework, which includes conceptual model semantics, model components semantics, model framework semantics, and simulation scenario semantics. Additionally, all the semantics are utilized in the model components development process, the simulation system development process, and the simulation system execution process respectively. The consistency checking among those semantics is also proposed. The detailed mapping processes between different semantic models can help to build the domain ontology driven composable simulation system.

A comprehensive construction of the domain ontology for stratigraphy

Stratigraphic knowledge,the cornerstone of geoscience,needs to be represented by the Knowledge Graph based upon ontology,in order to apply the state-of-the-art big-data techniques.This study aims to comprehensively construct the ontologies for the stratigraphic domain.This has been achieved by a federated,crowd intelligence-based collaboration among domain experts of major stratigraphic subdisciplines.The initial step is to enumerate key terms from authoritative references and incorporate them into the Geoscience Professional Knowledge Graphs(GPKGs)of Deep-time Digital Earth Project.During this process,semantic heterogeneities were meticulously addressed by professional judgement aided by an automatic detection of Homonyms at the GPKGs platform.Afterwards,these terms were further differentiated as either classes or properties and arranged in a hierarchical framework in a top-down process.Consequently,seven ontologies are constructed for major stratigraphic branches,i.e.,Lithostratigraphy,Biostratigraphy,Chronostratigraphy,Chemostratigraphy,Magnetostratigraphy,Cyclostratigraphy and Sequence Stratigraphy.The ontology of Biostratigraphy,among them,is elaborated here,as no biostratigraphic ontology has been attempted before to our knowledge.The constructed biostratigraphic ontology comprises following major root classes:Fossil,Biostratigraphic unit,Biostratigraphic horizon.Altogether,they contribute to the eventual dating and correlating of strata in another root class:Biostratigraphic correlation.In summary,the achievements of this study are probably heretofore the most comprehensive ontologies for the stratigraphic domain.Moreover,a proto model of semantic search engine was conceived to discuss potential application of our work for better querying stratigraphic references,utilizing the semantic liaison of the classes in the constructed ontologies.

Domain ontology development of knowledge base in cardiovascular personalized health management

In China,cardiovascular disease has become the leading killer in recent years,and mortality from cardiovascular disease is continuing to rapidly increase.Extant medical research has proven that personal health management(prevention,intervention,and recuperation)of chronic diseases,such as cardiovascular diseases,is the best strategy for their prevention and treatment.Currently,the public can obtain health management knowledge through the Internet,newspapers,books,and other channels.However,with the explosive growth of available information,the public is limited to obtain effective health management guidance due to the characteristics of multiple sources,uneven accuracy(even some contradictory knowledge)and a major paucity of personalization,especially for the general public who lack professional medical knowledge.To address these problems,this paper proposes a knowledge base framework(i.e.domain ontology library)of health management programs based on the cardiovascular disease domain,which can standardize knowledge of health management programs both logically and structurally.In order to satisfy the needs of personalized health management,the core ontology of the domain ontology library is health-management-program ontology.In addition to common ontologies(e.g.disease ontology,drug ontology,etc.),basic ontologies include the ontology of individual health characteristics(e.g.individual-healthcharacteristics and environmental-characteristics ontology),and ontologies comprising diet and sport(e.g.ingredients,recipes,physical exercise,etc.).We then construct the ontology library through the professional ontology tool,Protégé.With a case study,we translate a piece of text health management knowledge into instances of an ontology library.At the same time,we present a personalized health management program recommendation algorithm based on the ontology library,and a recommendation case is realized according to this algorithm.As a basic research,the results of this paper can also support other health management applications in the future.

DOF:a generic approach of domain ontology fuzzification

Although recent studies on the Semantic Web have focused on crisp ontologies and knowledge representation,they have paid less attention to imprecise knowledge.However,the results of these studies constitute a Semantic Web that can answer requests almost perfectly with respect to precision.Nevertheless,they ensure low recall.As such,we propose in this re-search work a new generic approach of fuzzification that which allows a semantic representation of crisp and fuzzy data in a domain ontology.In the framework of our real case study,the obtained illustrate that our approach is highly better than the crisp one in terms of completeness,comprehensiveness,generality,comprehension and shareability.

An Approach towards Goal-Oriented Requirements Ontology: Consistency and Completeness Based Requirements Analysis

The paper presents a new approach to managing software requirement elicitation techniques with a high level of analyses based on domain ontology techniques, where we established a mapping between user scenario, structured requirement, and domain ontology techniques to improve many attributes such as requirement consistency, completeness and eliminating duplicate requirements to reduce risk of overrun time and budgets. One of the main targets of requirement engineering is to develop a requirement document with high quality. So, we proposed a user interface to collect all vital information about the project directly from the regular user and requirement engineering;After that, the proposal will generate an ontology based on semantic relations and rules. Requirements Engineering tries to keep requirements throughout a project’s life cycle consistent necessities clear, and up to date. This prototype allows mapping requirement scenarios into ontology elements for semantically interrupted. The general points of our prototype are to guarantee the identification requirements and improved nature of the Software Requirements Specification (SRS) by solving incomplete and conflicting information in the requirements specification.

Geometry Services Construction Based on Ontology towards Cooperative Design in Cloud Environment

APIs of CAD system could be encapsulated to construct web services so as to provide standard access interfaces for web-based cooperative design. However, lack of semantic supporting make integration of heterogeneous modelling system limited to operational level. On the purpose of carrying out cooperative design in a flexible cloud environment, an intelligent and effective support mechanism is needed for mass and complex interaction in cooperative work. Therefore, Ontology-based Geometry Modeling Services Environment （OGMSE） is provided to realize a knowledge-level geometry modeling so as to supported semantic 3D model management and intelligent operation support. First, CAD APIs are encapsulated into web service for web invocation. Then, ontology contained structural semantic and operational semantic is built for management of models and modeling process. Lastly, conception-driven modeling mechanism is built to invocate service according to interaction requirement, thus to realize conception-level cooperative design. Based on an open geometry engine, a prototype system has been developed. The result shows that the approach provides a reference direction for large-scale application on the network.

Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification

Lithofacies paleogeography is a data-intensive discipline that involves the interpretation and compilation of sedimentary facies.Traditional sedimentary facies analysis is a labor-intensive task with the added complexity of using unstructured knowledge and unstandardized terminology.Therefore,it is very difficult for beginners or non-geology scholars who lack a systematic knowledge and experience in sedimentary facies analysis.These hurdles could be partly alleviated by having a standardized,structured,and systematic knowledge base coupled with an efficient automatic machine-assisted sedimentary facies identification system.To this end,this study constructed a knowledge system for fluvial facies and carried out knowledge representation.Components include a domain knowledge graph for types of fluvial facies(meandering,braided and other fluvial depositional environments)and their characteristic features(bedforms,grain size distribution,etc.)with visualization,a method for query and retrieval on a graph database platform,a hierarchical knowledge tree-structure,a data-mining clustering algorithm for machineanalysis of publication texts,and an algorithm model for this area of sedimentary facies reasoning.The underlying sedimentary facies identification and knowledge reasoning system is based on expert experience and synthesis of publications.For testing,17 sets literature publications data that included details of sedimentary facies data(bedforms,grain sizes,etc.)were submitted to the artificial intelligence model,then compared and validated.This testing set of automated reasoning results yielded an interpretation accuracy of about 90%relative to the published interpretations in those papers.Therefore,the model and algorithm provide an efficient and automated reasoning technology,which provides a new approach and route for the rapid and intelligent identification of other types of sedimentary facies from literature data or direct use in the field.

Video structural description technology for the new generation video surveillance systems

The increasing need of video based applications issues the importance of parsing and organizing the content in videos. However, the accurate understanding and manag- ing video contents at the semantic level is still insufficient. The semantic gap between low level features and high level semantics cannot be bridged by manual or semi-automatic methods. In this paper, a semantic based model named video structural description （VSD） for representing and organizing the content in videos is proposed. Video structural descrip- tion aims at parsing video content into the text information, which uses spatiotemporal segmentation, feature selection, object recognition, and semantic web technology. The pro- posed model uses the predefined ontologies including con- cepts and their semantic relations to represent the contents in videos. The defined ontologies can be used to retrieve and organize videos unambiguously. In addition, besides the de- fined ontologies, the semantic relations between the videos are mined. The video resources are linked and organized by their related semantic relations.

Exogenous approach to improve topic segmentation

Purpose-Topic segmentation is one of the active research fields in natural language processing.Also,many topic segmenters have been proposed.However,the current challenge of researchers is the improvement of these segmenters by using external resources.Therefore,the purpose of this paper is to integrate study and evaluate a new external semantic resource in topic segmentation.Design/methodology/approach-New topic segmenters(TSS-Onto and TSB-Onto)are proposed based on the two well-known segmenters C99 and TextTiling.The proposed segmenters integrate semantic knowledge to the segmentation process by using a domain ontology as an external resource.Subsequently,an evaluation is made to study the effect of this resource on the quality of topic segmentation along with a comparative study with related works.Findings-Based on this study,the authors showed that adding semantic knowledge,which is extracted from a domain ontology,improves the quality of topic segmentation.Moreover,TSS-Ont outperforms TSB-Ont in terms of quality of topic segmentation.Research limitations/implications-The main limitation of this study is the used test corpus for the evaluation which is not a benchmark.However,we used a collection of scientific papers from well-known digital libraries(ArXiv and ACM).Practical implications-The proposed topic segmenters can be useful in different NLP applications such as information retrieval and text summarizing.Originality/value-The primary original contribution of this paper is the improvement of topic segmentation based on semantic knowledge.This knowledge is extracted from an ontological external resource.

A Semantic Approach to Workflow Management and Reuse for Research Problem Solving

The investigation proposes the application of an ontological semantic approach to describing workflow control patterns,research workflow step patterns,and the meaning of the workflows in terms of domain knowledge.The approach can provide wide opportunities for semantic refinement,reuse,and composition of workflows.Automatic reasoning allows verifying those compositions and implementations and provides machine-actionable workflow manipulation and problem-solving using workflows.The described approach can take into account the implementation of workflows in different workflow management systems,the organization of workflows collections in data infrastructures and the search for them,the semantic approach to the selection of workflows and resources in the research domain,the creation of research step patterns and their implementation reusing fragments of existing workflows,the possibility of automation of problemsolving based on the reuse of workflows.The application of the approach to CWFR conceptions is proposed.