Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

Nowadays, with the significant application of remote sensing satellite in military and civil use, how to intelligentize space devices and materials has become a huge challenge. Traditional retrieval methods usually focus on the optical properties of the devices and materials and lack in semantic description. Therefore, a semantic-based query method of remote sensing data is proposed in this paper. With the ontology, the intelligent mechanism is used to infer complex interrelationships among the data. Inference results then are put forward to prove that our approach is effective.

Machinery and equipment descriptions play an important role in the design and manufacturing of industrial machinery devices and help reducing the design time and manufacturing costs of machinery devices. However, one of the main obstacles to realize efficient device design and manufacturing is the lack of effective semantic description method because of the surprisingly increasing volume and semantically fuzzy natures of the industrial device descriptions. To overcome this problem, this paper presents a novel fuzzy ontology-based device description method and implements the intelligent device retrieval and representation system based on the fuzzy ontology. The fuzzy inference and semantic fusion mechanisms of this approach are demonstrated.

The reconfigurable manufacturing system is a cost-effective system that can accommodate a variety of equipments required by customers. However, because of the surprisingly increasing volume and semantically fuzzy nature of the equipment information, one of the main difficulties to realize efficient equipment reconfiguration is the lack of effective equipment representation technologies and semantic description methods. In this paper, a fuzzy ontology model is proposed for storing semantic concepts in the reconfigurable manufacturing system. To discuss fuzzy inference mechanism has indicated that the fuzzy ontology-based method can promote productivity of the reconfigurable manufacturing system.

In this paper, a new component assembly library for mechanical devices is presented. Component modeling is the key technology, and component library is also an important functional module, which is a tool for instruction design in the mechanical devices. Mechanical properties are mentioned. Interactions between the component design process and the component library are realized. This paper covers the details about the implementation of the component library. The process of traditional mechanical design is simplified with the component library. Consequently, the design and development time for mechanical device instructions can be significantly shortened.