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This paper describes our experience in the development of the Food Track&Trace Ontology (FTTO), an ontology oriented to the domain of food traceability. FTTO is used to share knowledge between agents involved in the Food Supply Chain and intends to be a reference that permits to work with information obtained through the matching and merging of different controlled vocabularies. As part of a bigger...
The terminology used by a particular educational institution is usually specific to that institution. Therefore, it is not possible to directly deploy a learning system that has been developed for one institution at another institution. Semantic interoperability among learning systems has been proposed as a solution to overcome terminological and structural differences. However, semantic interoperability...
Existence of petroleum system and its elements is often narrated for each oil and gas field and for each petroleum-bearing sedimentary basin. Sedimentary basin is an emerging digital ecosystem within a generic petroleum system. On the broader scale, total petroleum system (TPS, where geology has no boundaries) can virtually be envisaged as a digital petroleum ecosystem. The significance of this concept...
This paper proposes the idea of a Call For Paper Manager aim at scientist in Computer Science field. The main purpose of this system is to simplify the gathering and browsing of Call For Paper. From this perspective, we introduce our structured data database from extraction of relevant data in Call For Paper via rule-based text mining algorithms and enrichment of them via ontology. Afterwards we present...
To train students to learn a skill and increase the competitiveness for jobs, all the tertiary institutions design special curriculum program to have a goal as learning to meet the demand of professional skills for students. This study used ontology technology to implement the Course-recommendation System, to provide students adaptive learning recommendations, and let students to learn a complete...
Nowadays, ontology as a knowledge sharing approach plays an important role in semantic interoperability of enterprise applications (EAs). However, the manual process of ontology construction requires deep understanding of the domain. This approach is difficult, expensive and time-consuming. To overcome the knowledge acquisition bottleneck, ontology learning field aims to provide automatic and semi-automatic...
Due to the fact that most of current E-learning systems have problems of insufficient personalization, this paper puts forward the idea that completes the personalized knowledge search based on the open source E-learning system, then constructs domain ontology that are used to build user interest model, and finally, this model is embedded in Notch search engine to realize the personalized knowledge...
This paper presents ontology based cloud service discovery mechanism that aims to provide cloud users to find desired cloud services over the internet. The main objective is to construct cloud ontology on the basis of services and attributes, that helps to rearrange the query and to discover the cloud services for user's requirement. Cloud ontology brings various CSPS services under same name convention...
Ontology is the foundation of the Semantic Web, and the relational database is the most current data storage method on the World Wide Web, so the ontology storage research based on relational database is the one of the main problems. In order to achieve general storage of ontology data, make it easy to use the ontology data in the following application. This paper presents a model of storing Ontology...
The wide application of FMEA in reliability engineering is generally appreciated, and how to identify the failure modes is the key to it. Failure modes, however, rely only on specific components rather than the system architecture, and therefore could be reused in different FMEAs. A light weight ontology-based method, which is helpful in managing the failure modes effectively and clearly, is provided...
This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. We have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification...
This paper proposes the usage of an ontology indexation process via concept maps to generate evidences of irregularities in payrolls. The proposal uses audit indicators as an instrument for documenting evidences as well as for tracking the data from the moment in which it is provided and structured. Hence, this proposal includes a methodology for transforming basic, and sometimes unstructured, payroll...
It is very important to know how to save and utilize the content of ontology effectively and efficiently in the practical application of ontology. This article presents one type of agriculture product cultivating standard ontology relation database mode, on the applying background of agricultural product cultivating standardized management system and at the base of analyzing the present ontology storage...
This paper describes an approach for using an ontological structure to analyze Yami ika-emotion phrases. The study of the emotion phrases of the Austronesian language is still in a very early stage. In this study, we designed an approach of using an ontology to simulate the previous study on emotion and cognition of another Philippine language. Based on the implementation and experimental results,...
Organizations use the techniques of data warehouse and knowledge discovery in databases to generate useful information to support their strategic decisions. These techniques, if properly combined, can offer a broad knowledge of business domain treaty. This paper proposes the use of ontology to organize and categorize the relevant data from the field of social vulnerability. With the exploration of...
In order to promote the modernization of traditional Chinese medicine (TCM), a platform that allows different legacy TCM information systems to interact, intercommunicate, and interoperate with each other by using standard scientific format and systematical information management is necessary. In this study, a design of an ontology-based service-oriented architecture (SOA) framework is proposed to...
Data-oriented applications have experienced a huge growth mainly in distributed settings. The increasing amount of available data has made it hard for users to find the information they need in the way they consider relevant. To help matters, a user-centric approach may be used to enhance query answering and, particularly, provide query personalization. In this work, we address the issue of personalizing...
This article discusses risk-related knowledge-based content annotation in a domain of structural health monitoring (SHM) and introduces an extension of existing ontology-based document and content annotation method and a corresponding software tool that was developed to achieve this task.
The development of network technology provides people with a convenient means of searching information, but to search agricultural information from the network need rapid and accurate assistance. The information searching tool that is designed theoretically by ontology is proposed, and the establishment and application of distributed data acuisition model in the web is used to collect related topics...
In the present paper we describe an ontology-based service platform to efficiently manage and maintain the explosive growth scientist knowledge. Due to their powerful knowledge representation formalism and associated inference mechanisms, ontology-based systems are emerging as a natural choice for the next generation of knowledge management systems [1]. Scientist service platform is designed to support...
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