Ontology-based Technology Research Articles

Using intelligent ontology technology to extract knowledge from successful project in IoT enterprise systems

ABSTRACT Learning from success projects to build business process for customer requirements change is critical successful factor for other project in IoT enterprise systems. We proposed an ontology-based technology to mine the core knowledge of successful projects. From precious experiences of each successful projects, two ways of ontology-based domain knowledge pattern will be defined, first is for application project management, and second is for software engineering process. To decompose the project knowledge from the same application domain with tree structures. The results of this paper reduce development and requirement cost, and user satifaction is better than without ontology.

Construction and validation of an ontology-based technology function matrix: Technology mining of cyber physical system patent portfolios

This research develops a computer-supported ontology-based Technology Function Matrix (TFM) construction method, called eTFM, as an approach to reduce technology mining man-power and enhance the accuracy and consistency of patent analysis results. The paper addresses a rarely discussed issue of the TFM validation. The proposed validation approach compares the TFMs construction based on both on the domain ontology and the International Patent Classification (IPC) classes. The research demonstrates the methodology's practical applications using the patent analysis case of cyber physical system (CPS), an essential core technology enabling advanced manufacturing and Industry 4.0.

Ontology-based technology function matrix for patent analysis of additive manufacturing in the dental industry

Additive manufacturing (AM) technologies have been developed and applied to many domains where product mass-customisation is critical to maintaining competitive advantage. For instance, AM has been adopted for use in the medical and dental manufacture of implants, prosthetics and orthodontics, where these devices must be made to match each patient's unique facial, dental or other body profiles. The research presented focuses on the technological and functional aspects of patent informatics to discover the innovation trends for materials, products, and processes. The research proposes a generic methodology incorporating patent text and data mining to create an ontology based technology function (TF) matrix for any technology domain. The TF matrix is applied to describe the distribution of global dental AM patents. The research compares the latest dental-related AM research initiatives in Taiwan with globally emerging patents. The patent based analytical approach enables RD Revised 22 October 2016; Accepted 8 November 2016]

Ontology-based Technology Function Matrix for Patent Analysis of Additive Manufacturing in the Dental Industry

Ontology-based Technology Function Matrix for Patent Analysis of Additive Manufacturing in the Dental Industry

An integrated system for land resources supervision based on the IoT and cloud computing

ABSTRACTIntegrated information systems are important safeguards for the utilisation and development of land resources. Information technologies, including the Internet of Things (IoT) and cloud computing, are inevitable requirements for the quality and efficiency of land resources supervision tasks. In this study, an economical and highly efficient supervision system for land resources has been established based on IoT and cloud computing technologies; a novel online and offline integrated system with synchronised internal and field data that includes the entire process of ‘discovering breaches, analysing problems, verifying fieldwork and investigating cases’ was constructed. The system integrates key technologies, such as the automatic extraction of high-precision information based on remote sensing, semantic ontology-based technology to excavate and discriminate public sentiment on the Internet that is related to illegal incidents, high-performance parallel computing based on MapReduce, uniform storing and compressing (bitwise) technology, global positioning system data communication and data synchronisation mode, intelligent recognition and four-level (‘device, transfer, system and data’) safety control technology. The integrated system based on a ‘One Map’ platform has been officially implemented by the Department of Land and Resources of Guizhou Province, China, and was found to significantly increase the efficiency and level of land resources supervision. The system promoted the overall development of informatisation in fields related to land resource management.

The National Center for Biomedical Ontology

The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data.

Bridging the Text-Image Gap: a Decision Support Tool for Real-Time PACS Browsing

In this paper, we introduce an ontology-based technology that bridges the gap between MR images on the one hand and knowledge sources on the other hand. The proposed technology allows the user to express interest in a body region by selecting this region on the MR image he or she is viewing with a mouse device. The proposed technology infers the intended body structure from the manual selection and searches the external knowledge source for pertinent information. This technology can be used to bridge the gap between image data in the clinical workflow and (external) knowledge sources that help to assess the case with increased certainty, accuracy, and efficiency. We evaluate an instance of the proposed technology in the neurodomain by means of a user study in which three neuroradiologists participated. The user study shows that the technology has high recall (>95%) when it comes to inferring the intended brain region from the participant's manual selection. We are confident that this helps to increase the experience of browsing external knowledge sources.

An intelligent technology watch function for the high technology enterprise

This paper highlights technology roadmapping issues for advanced industries, in particular with regard to disruptive technologies. It examines the currently available range of technology watch techniques and considers the potential offered by the emerging Semantic Web. This paper introduces the technology watch research work of the University of Nottingham's Responsive Manufacturing Group and describes a database-supported process that has been applied in the UK's aerospace industry. It also describes an ontology-based technology watch system that has been applied in prototype form at a major aerospace manufacturer. A method has been developed to evaluate the level of potential threat that an emerging technology represents and to attach a value to a technology watch project that alleviates that threat level. This paper concludes that an effective technology watch function can significantly mitigate the risks that high technology companies face.

Design and implementation of an ontology-based information technology outsourcing evaluation system using AHP

Adopting IT is essentially an organisational innovation process. In particular, recent emphasis on IT adoption has raised the level of interest and concern about IT outsourcing, which is the practice of turning over part or all of an organisation's IT functions to external service providers. However, evaluating IT outsourcing decisions is still problematic. To address this issue, a new evaluation system using the ontology-based approach and analytic hierarchical process is proposed. The proposed system aims to facilitate the selection of appropriate measures and transform the selected criteria into a hierarchical framework that is suitable for conducting subjective comparisons. A prototype system is implemented and shown by an exemplary case. The implications, limitations and future works of the proposed system for the evaluation of IT outsourcing decisions are discussed.