Ontology-based Model Research Articles

A SOA and Knowledge-based Telemonitoring Framework: Design, Modeling, and Deployment

Telemonitoring systems have proven to greatly reduce medical costs while improving the quality of medical care. Today, the main factors restricting the development and popularization of Telemonitoring systems include scalability and compatibility. The current sensor devices lack unified standards and deliver complicated data structures. This paper presents the design for an ontology-based context model, and related middleware, that provide a reusable and extensible application framework for Remote Healthcare and assistance at home. We define the semantic information to describe attributes of sensors, services and working procedures. Developers may rewrite the service definition to adapt to new requirements as needed.

Special Section on 2011 International Workshop on Computing in Civil Engineering

We are pleased to present this special issue as an extra session in this month’s journal. This special issue was based on selected papers from the 2011 ASCE International Workshop on Computing in Civil Engineering held in Miami, Florida, June 19–22, 2011, and sponsored by the ASCE technical council on computing and IT (TCCIT). The issue includes 12 conference papers with topics such as ontology-based partial building information model extraction, methodologies for damage detection during continuous monitoring of structures, machine vision-based detection of damage and unsafe work conditions, automated compliance checking of operational plans, and real-time occlusion handling for dynamic augmented reality. The papers were selected from among those considered for the best conference paper award by the TCCIT data sensing and analysis (DSA) and visualization, data modeling, and analysis (VIMS) committees and the conference organizers We want to also acknowledge the extra effort of the ASCE journals staff in assisting with production. In particular, the extraordinary commitment of Kelly Anderson, publishing manager; Nick Violette, editorial assistant; and Holly Koppel, managing editor, are noted. The coordination of special topic issues involves considerably more effort for all concerned. The successful completion of this issue would not have been possible apart from the competent guidance of the ASCE journals staff.

User-centric social context information management: an ontology-based approach and platform

Social context information has been used with encouraging results in developing socially aware applications in different domains. However, users' social context information is distributed over the Web and managed by many different proprietary applications, which is a challenge for application developers as they must collect information from different sources and wade through a lot of irrelevant information to obtain the social context information of interest. On the other hand, it is extremely hard for information owners to control how their information should be exposed to different users and applications. Combining the social context information from the diverse sources, incorporating richer semantics and preserving information owners' privacy could greatly assist the developers and as well as the information owners. In this paper, we introduce a social context information management system (SCIMS). It includes the ability to acquire raw social data from multiple sources; an ontology-based model for classifying, inferring and storing social context information, in particular, social relationships and status; an ontology-based policy model and language for owners to control access to their information; a query interface for accessing and utilizing social context information. We evaluate the performance of SCIMS using real data from Facebook, LinkedIn, Twitter, and Google Calendar and demonstrate its applicability through a socially aware phone call application.

Ontology-based modeling of process selection knowledge for machining feature

One of the major activities in process planning is to decide the most appropriate machining methods for a part to be manufactured. Above all it requires the knowledge on feature, manufacturing capability of machining process and their relationships. As new technologies emerge, the process selection knowledge needs to be updated accordingly. Most of the systems dealing with process knowledge are not flexible enough to accommodate the relevant changes within an acceptable cost. In this paper, ontology based modeling of the process planning knowledge is presented. The core process ontology represents the process planning knowledge for machining operation selection regarding multi-axis machining feature. Firstly the concepts such as features, machining methods and process capability are modeled with relevant properties. Secondly the causal relationships between these concepts are modeled. In addition, the process selection logic is modeled by using rules which describe the match between machining requirements of a feature and process capability of a machining method. An example shows how the process ontology can be used in a reasoning mechanism for operations selection.

CAM

The problem of identifying relevant classes (entities) and associations (relationships) is a fundamental problem for conceptual modeling. In a previous work the authors introduced a conceptual modeling methodology named OMP (Ontology-based Modeling Patterns), which is based on the analysis of class categories representing entity types that are organized in the form of ontology. Since then the authors have explored a way to improve the methodology. As a result, in this paper the authors introduce a new conceptual modeling framework, entitled CAM (Class/Association-analysis-based Modeling), which is based on the analysis and classification of association types as well as entity types. The main objective of CAM is to serve as a tool to facilitate teaching the fundamentals of conceptual modeling to students in a systematic way, by providing extensible and adaptable entity/association classificatory systems that can be directly used in the problem-solving process. In this paper the authors present the CAM framework and illustrate its application.

Ontology-based model for Chinese Calligraphy Synthesis

There are lots of digitized Chinese calligraphic works written by ancient calligraphists in CADAL. Sometimes users want to generate a tablet or a piece of calligraphic work written by these calligraphists. However, some characters had not been written by them or though were ever written but are hard to read because of long time weathering. Furthermore, different works of the same calligraphist may have diverse styles. It is a great challenge to generate a new calligraphic character with particular style. In this paper, we present a novel approach to synthesize regular script calligraphic characters in the style of some specific calligraphic works. Our approach first processes original calligraphic resources by multi-level segmentation. Then, a domain ontology is established to supervise basic resources and to provide significant support for calligraphy synthesis. Finally, a novel algorithm is proposed to synthesize new calligraphic characters. We demonstrate the effectiveness of our method by showing various synthesized results in the style of different calligraphic works of Liu Gongquan.

Ontology-based model of network and computer attacks for security assessment

With increased cyber attacks over years, information system security assessment becomes more and more important. This paper provides an ontology-based attack model, and then utilizes it to assess the information system security from attack angle. We categorize attacks into a taxonomy suitable for security assessment. The proposed taxonomy consists of five dimensions, which include attack impact, attack vector, attack target, vulnerability and defense. Afterwards we build an ontology according to the taxonomy. In the ontology, attack related concepts included in the five dimensions and relationships between them are formalized and analyzed in detail. We also populate our attack ontology with information from national vulnerability database (NVD) about the vulnerabilities, such as common vulnerabilities and exposures (CVE), common weakness enumeration (CWE), common vulnerability scoring system (CVSS), and common platform enumeration (CPE). Finally we propose an ontology-based framework for security assessment of network and computer systems, and describe the utilization of ontology in the security assessment and the method for evaluating attack effect on the system when it is under attack.

Semantic restrictions and rules in applications of multibody dynamics

Application of computational methods, including multibody system simulation, has become a common approach in the product development of mechanical systems and machines. Computational methods enable the efficient study of the kinematics and dynamics of mechanical systems being developed, and thus reduce development costs of the product. The increasing application of computational methods in product development processes has resulted in a new problem; the management and efficient utilisation of massive amounts of new design data. Because of the amounts, intelligent computational systems are needed for efficient use of the data coming, e.g. from multibody system simulations. This article introduces the use of semantic restrictions and rules in an ontology-based multibody system modelling approach. It discusses the benefit of separating modelling data and domain data semantics from the modelling and simulation tools and develops an improved multibody system modelling ontology with general modelling restrictions and rules, demonstrating its application with a simple example. The application of modelling case-specific rules is also demonstrated with an example.

Promoting SME cooperative aggregations: main criteria and contractual models

Collaboration is considered an effective solution to improve business strategies. However, small and medium enterprises (SMEs) often lack common principles and common forms of contractual coordination. Several policies implemented by the EU have addressed the set-up of a comprehensive SME policy framework, but European institutions seem to have focused more on organisational devices to conduct business activities rather than on contractual forms of coordination. In April 2009, Italy adopted a law in network contract to promote the development of inter-firm cooperation strategies to foster enterprises’ innovation and growth. Even if this law represents a novelty in Europe and may offer new challenges and hints, it still presents some lacks in its formulation. The current research aims at presenting the Italian law for network contract and a comparison with other models of SME aggregations adopted in EU countries. A formal model to support the design of an SME network was proposed, by providing both an ontology-based model to help the definition of the contract in a structured way, and a basic workflow to identify the important phases of the network design, i.e. the feasibility study and the negotiation.

Ontology-Based Device Description Model in Smart Home

We present an ontology-based device description model which abstracts the general information of device in smart home. And we use XML to describe the device model which could be understood by machine. The device model is not restricted by software platform and easy to be reused.

Curriculum Design within a Semantic Information System

There is a demand for powerful curriculum design systems to support the representation, exchange, integration and sharing of curriculum data over the internet; to meet the requirement, this paper use ontology to describe the concepts and their relationships in a specific domain, with which the author annotate the data models, and make sure the data model has structural information as well as semantic information. In this way, data transformation in a semantic consistent way is supported and query formulation is facilitated in the process; an ontology-based description model is also proposed to give expression and organisation of curriculum information.

A Critical Ontological Approach to Deconstructing the Kaleidoscopic New Literacies in Digital Era

This paper argues that the current productive and multidisciplinary study in new literacy/literacies in digital era has lead to a complex situation full of kaleidoscopic terms and concepts, thus is in need of further exploration. Based on a critical ontology-based modeling and 5W1H maxim, the author proposes a 5-Ps framework to deconstruct and re-examine new literacy/literacies from five perspectives: Platform, Participant, Potential, Position, and Praxis. It is expected that this framework can help people to analyze and understand new literacies in study of electronics, computer, information technology as well as social sciences.

CACOnt: A Ontology-Based Model for Context Modeling and Reasoning

In this paper, we present a general and extensible context-aware computing ontology (CACOnt) for modeling context and providing inference mechanisms. CACOnt provides not only the generic context ontologies for capturing basic concepts about context, but also the extensibility for adding domain-specific ontologies in a hierarchical manner. CACOnt facilitates the context reasoning capabilities by providing semantic logics which is possible to combine with rule-based systems. However, the set of rules cannot entirely cover the domain of contexts, we present a semantic similarity-based rule matching algorithm as the solution to this problem.

Ontology-based process model for business architecture of a virtual enterprise

As new collaborative business models emerge, considerable research is being carried out on Virtual Enterprise (VE) as an alternative to secure competition. To operate a VE, a common framework that must be shared between participants is needed to implement a seamless business process. This paper focuses on an ontology-based process model that provides a common semantic and communication protocol. The suggested process model has a single integrated meta-model that describes the internal and intra business process of a VE. The internal process is the formal process of each business partner and is described using the Collaborative Component Architecture (CCA) of Enterprise Distributed Object Computing (EDOC). On the other hand, the intra process is a collaborative process that can be modified by the business scenario and is described using a Role Activity Diagram (RAD). The suggested process model is applied for the collaborative design chain process of the automotive-part industry as a case study.

Knowledge Modelling of E-Maintenance in Industrial Robotics

Nowadays providers of maintenance and support related to industrial robotics are facing major challenges. Equipment producers around the world are urged to make significant efforts in order to provide high value added services in addition to their traditional product development and manufacturing business. A focal problem with maintenance as well as support of industrial robotics is the need to manage the ever-increasing information flow and system complexity of production cells that incorporate equipment from different producers. In this context, a novel ontology-based representation model is developed for the sharing and use of maintenance knowledge in the robotic field.

5 root concepts for a meta-ontology to model product along its whole lifecycle

PLM approaches are based on the definition of a common and shared meta-model. Defining these meta-model, especially in the case of ontology-based models, is often a manual a difficult task. A framework for modeling meta-ontology. The framework is based on five root concepts : product, process, resource, rule and business. These concepts are disjoints, high level, meaningful, and generic. We compare them to concepts of existing models and propose an application scenario to validate the proposed framework.

The Priority of Decision Criteria why do College Students Play MMORPGs or Not: by Ontology-Based Ethnographic Decision Tree Model

The Priority of Decision Criteria why do College Students Play MMORPGs or Not: by Ontology-Based Ethnographic Decision Tree Model

Feature–opinion pair identification of product reviews in Chinese: a domain ontology modeling method

With the emergence of the new economy based on social media, a great amount of consumer feedback on particular products are conveyed through wide-spreading product online reviews, making opinion mining a growing interest for both academia and industry. According to the characteristic mode of expression in Chinese, this research proposes an ontology-based linguistic model to identify the basic appraisal expression in Chinese product reviews—“feature–opinion pair (FOP).” The product-oriented domain ontology is constructed automatically at first, then algorithms to identify FOP are designed by mapping product features and opinions to the conceptual space of the domain ontology, and finally comparative experiments are conducted to evaluate the model. Experimental results indicate that the performance of the proposed approach in this paper is efficient in obtaining a more accurate result compared to the state-of-art algorithms. Furthermore, through identifying and analyzing FOPs, the unstructured product reviews are converted into structured and machine-sensible expression, which provides valuable information for business application. This paper contributes to the related research in opinion mining by developing a solid foundation for further sentiment analysis at a fine-grained level and proposing a general way for automatic ontology construction.

Ontology-Based Context Modeling for Mobile Catering Recommendation

To support context-aware mobile recommendation, an ontology-based context modeling approach was proposed. We analyzed the framework of the mobile recommender system based on contextual model and suggested designing the model with two-layer structure including an upper ontology layer and a domain ontology layer. The ontologies provides formalizations representing the main entities, including users, objects, contexts, and their interactive relationships in mobile recommendation environments. A specific context ontology model for catering recommendation was developed and a use case of the instantiated context ontology was demonstrated.

EXPERTS SEARCH AND RANK WITH SOCIAL NETWORK: AN ONTOLOGY-BASED APPROACH

Experts finding, one of the most important tasks in social networks, is aimed at identifying individuals with relevant expertise or experience in a given topic. Several approaches have been proposed for finding experts in social networks from documents or web repositories. However, the semantic approach for modeling the information to find experts has not yet been explored. In this paper, we propose a novel method to index the academic information in an ontology-based model for finding and ranking the experts in a particular domain. Additionally, we propose an effective method to construct the academic social network by exploring the relations among the experts and measuring the score of each expert. The score of an expert is measured considering the contributions of relevant publications and relationships among other expert candidates. It is very efficient to find and ranking experts to take advantage of the millions of candidate experts being with relationships. An experiment conducted to evaluate our model shows that experts finding and ranking with an ontological approach integrated with the social network is more effective than other approaches.