Ontology-based Model Research Articles

Ontology-Based Sentiment Analysis Model of Customer Reviews for Electronic Products

Ontology-Based Sentiment Analysis Model of Customer Reviews for Electronic Products

Exploit unstructured data using deep analytics to optimise enterprise IT asset management

Unstructured data pose a huge risk towards supporting critical goals of sustainable reconciliation of inventory due to over spending and audit exposure. They are inherently fragmented, incomplete and without restriction. Hence domain specific explicit information extracted from unstructured data may not be complete or contextually accurate or both for reconciliation. It requires inference to extract implicit information to make the extracted information usefully complete. Domain reconciliation modelled in relational database is static, requires deep domain knowledge prior to modelling and depends on surface commonalities of data labels and values between source and target. These design constraints make relational model-based reconciliation unfit for reconciling entities extracted from unstructured data. In this paper we propose an ontology-based semantic information model and semantic reconciliation mediator to extract valid entity information from unstructured data in knowledge format and reconcile them using pattern-based reconciliation. This agile, superior way of integrating information makes it possible to support unstructured information processing through inference and incorporates effects of temporal events that impact the ownership and usage rights of resources as well.

The exploitation of an ontology-based model of PLM from a SME point of view

The wide range of functionalities offered by PLM systems are often not fully exploited by companies, especially small and medium enterprises, in which the management of data and information about product lifecycle is done without computer software systems. Consequently, a lot of time is spent in managing information “by hand”. In this paper we aim at providing an example of a methodology to exploit the potentiality of PLM systems from the point of view of a SME, by using an ontology-based model of PLM. The presented case study regards an assembly process of a small Romanian enterprise.

Ontology-based Multi-dimensional Organization nd Management Model for Web Services

Ontology-based Multi-dimensional Organization nd Management Model for Web Services

Managing Emergency Material Distribution Knowledge Using Ontology-Based Modeling for Emergency Distribution Decision

Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.

The Construction of Security Supervision Platform for Fireworks and Firecrackers Based on IOT

Lacking effective management means for production, storage, transportation, marketing and other aspects is the existing problems in the current fireworks and firecrackers security supervision. We propose a design method on constructing the safety supervision platform of the whole process of fireworks and firecrackers production with the background of the emerging Internet of Things (IOT for short), the use of RFID technology, combined with the 3G networks, GPS/GIS, video camera technology to constitute the architecture of the platform. In this article, we also present the crucial technology of constructing the platform and relevant implementation, including the associated matching algorithms between the RFID tags and two dimensional codes, building methods of fireworks and firecrackers quality model by theory of ontology-based context modeling. It achieves full supervision and traceability management in production, storage, transportation, wholesale and retail. And it can provide summary statistics and on-site real-time dynamic queries.

The Development of a Product Ontology Information System for Similarity Measurement

Recently, the amount of multimedia content is increasing considerably. Several concurrent trends made this happen. Current software made creating, sharing, and editing of multimedia resources a common and easy task. In this paper we present a formal and implemented generic framework for building ontology-based information systems. The recall and precise of product ontology similarity measurement were higher than that of the traditional similarity measurement. In order to address this research issue, an ontology-based multi criteria decision model is proposed. The experimental results indicate that this method has great promise.

A framework for ontology-based temporal modelling of business intelligence

Ontologies provide the means for supporting business intelligence (BI) and information management through the interpretation of unstructured content. On the basis of the semantics of ontologies, information can be extracted from natural language texts, and on a further level of processing knowledge that facilitates BI can be discovered. However, in order to act this way, ontologies need to be properly modelled and evolved so that they are constantly aligned with changes that occur in the real world. This paper presents a framework for modelling the temporal aspects of a semantic knowledge base with direct impact on the BI process.

CA5W1HOnto: Ontological Context-Aware Model Based on 5W1H

Ubiquitous computing is necessary to define models for broad contextual information arising out of surrounding environment. It also helps comprehend how to model a mechanism of selectively collecting useful pieces of contextual information and of providing relevant intelligent services. Further, studies are also required on how to process contextual information, its maintenance, and reasoning. However, current context-aware researches are still in need of modeling techniques reflecting ontological characteristics. As a result, it is impossible to effectively provide relevant intelligent services. They are limited as well in terms of contextual reasoning and interoperability across different pieces of contextual information. Aware of the issues, this study proposes an ontology-based context-aware modeling technique, along with a relevant framework, in order to enable efficient specification of contextual information and, thereby, further to provide intelligent context-aware services for context management and reasoning. Moreover, we mobilize the maxim of “five Ws and one H” to process physical and logical contextual information and to support our proposed technique. The maxim-applied modeling technique sets forth an intuitive context-aware schema and demonstrates high applicability to sharing and integration of contextual information. Meanwhile, the ontology-based modeling supports reasoning on contextual information and facilitates more intelligent and reliable services.

An Efficient Ontology-based Semantic Web Services Composition Model for Peer to Peer Work

An Efficient Ontology-based Semantic Web Services Composition Model for Peer to Peer Work

Applying Ontology-Based Models for Supporting Integrated Software Development and IT Service Management Processes

Ontologies have been applied in previous research in an attempt to improve software engineering (SE) tools with computational semantics. In addition, ontology models have been applied to model and build supporting tools for IT service management (ITSM) processes, including the formal modeling of service-level agreements. Both the areas of concern share a common upper layer of concepts, as certain software development activities in some cases start from ITSM design needs or tasks. This suggests that existing ontologies in both domains can be integrated, thus resulting in enhanced semantic-aware process support tools, which crosscut the two concern areas. This paper reviews existing ontology-based models in the SE and ITSM domains and describes the main elements of a mapping that enables their integration. Several concrete cases in which that integration results in adding value to the processes are reported. A case study that adopts the approach is also described.

Design Knowledge Origin Characteristics and Classification

In this paper, we established the methods to classify and represent the concept-design knowledge and developed an ontology-based model presenting the design knowledge as well as a model for modeling cycles. We further applied these methods and models to develop a specific ontology-based design knowledge model and validated them in the management system of design knowledge for the construction machinery.

Study on an Ontology-Based Design Knowledge Modeling Algorithm

In this paper, we concentrate on the ontology-Based design knowledge modeling technologies for the construction machinery. For that, we study the ontology modeling theory, the representation of product design knowledge and the ontology modeling of design knowledge, etc. From the design knowledge management’s angle, design knowledge modeling approach is studied to support the design knowledge development, transfer and reuse for the construction machinery.

A Core Ontological Model for Semantic Sensor Web Infrastructures

Semantic Sensor Web infrastructures use ontology-based models to represent the data that they manage; however, up to now, these ontological models do not allow representing all the characteristics of distributed, heterogeneous, and web-accessible sensor data. This paper describes a core ontological model for Semantic Sensor Web infrastructures that covers these characteristics and that has been built with a focus on reusability. This ontological model is composed of different modules that deal, on the one hand, with infrastructure data and, on the other hand, with data from a specific domain, that is, the coastal flood emergency planning domain. The paper also presents a set of guidelines, followed during the ontological model development, to satisfy a common set of requirements related to modelling domain-specific features of interest and properties. In addition, the paper includes the results obtained after an exhaustive evaluation of the developed ontologies along different aspects (i.e., vocabulary, syntax, structure, semantics, representation, and context).

온톨로지 기반의 컨택스트 정보 모델링 기법

Ubiquitous Computing is required to define models for broad context information occurrence by surrounding environment and to study how to model a mechanism for selectively collecting useful pieces of context information and providing relevant intelligent services. Further, studies are also required as to process of context information, and its maintenance and reasoning. However, current context-aware research area still lacks modeling technique that reflects the characteristics of ontology effectively for providing relevant intelligent services. It has also limitation about context reasoning and interoperability among context information. Therefore, this paper proposes ontology-based context-aware modeling technique and framework enabling efficient specification of context information for providing intelligent context-aware services that support context management and reasoning.

Ontology-based Hierarchical Modeling of E-government Service

Ontology-based Hierarchical Modeling of E-government Service

A Knowledge Management and Decision Support Model for Enterprises

We propose a novel knowledge management system (KMS) for enterprises. Our system exploits two different approaches for knowledge representation and reasoning: a document-based approach based on data-driven creation of a semantic space and an ontology-based model. Furthermore, we provide an expert system capable of supporting the enterprise decisional processes and a semantic engine which performs intelligent search on the enterprise knowledge bases. The decision support process exploits the Bayesian networks model to improve business planning process when performed under uncertainty.

Ontology-Based Knowledge Representation Model for E-Government

The article systematically analyzes the method of knowledge representation, introduce the basic concepts of the ontology, the ontology-based knowledge representation method of E-government. The focus is examining the E-government Ontology Modeling Language, OWL language, and then propose the principle of build E-government Ontology. It is including the ontology construction method, build tools and build.

Research on Ontology-Based Task Modeling in Manufacturing Grid

Manufacturing grid (MG) is the application of grid technology in networked manufacturing. Ontology has been considered as an important theoretical basis in many areas such as information integration, semantic web and knowledge management. The descriptions on manufacturing tasks are usually vague, incomplete and inconsistent in industry. MG task model and its semantic description method are the foundation and guarantee of quality of service (QoS) in MG. The MG task model is presented. The combination of ontology with MG study, in terms of analyzing basic classes in MG, and basic ontology classes, requirement model of service capacity of MG task are proposed. According to the description model of service capacity, the semantic description method for MG tasks is put forward.

A Hybrid Context Model for Pervasive Healthcare System

Pervasive computing applications aim to provide appropriate services that respond directly to their users and environments, with greatly reduced explicit human guidance. These applications usually adapt to changing failure-prone context information which was acquired from various sources that differ in quality and format. To efficiently acquire, share, correlate, and reason over raw existing context data, they must be modeled in a homogenous fashion. In this paper, we propose a hybrid context modelling approach, which attempt to integrate the advantages of object-oriented model and ontology-based model for their distributed context handling and efficient context reasoning respectively. We have applied this model to the development of a context management middleware which providing an extensible application framework for monitoring and assisting the elderly at home environments.