Research On Model Of Knowledge Discovery Process Based On Linked Data

The linked data of web3.0has greatly promoted the development of knowledge economy, it provides a new platform and a broad space for development. At the Age of knowledge economy, knowledge has replaced the other factors of production and become the core competitiveness and the fastest growth of economy. Knowledge discovery is the inevitable trend with the development of knowledge economy, the mankind is faced with the problem of which the desire for knowledge is more urgent however lack of knowledge. The basic task of knowledge discovery is to dig up valuable knowledge from large amounts of data, and it is also the inevitable requirement of knowledge economy. Knowledge discovery activities must be based on the network environment, in an efficient and advanced network technology as a digging tool, to a large number of network repository as the main object, thus maximum precious wealth in the network. The web of data which is formed by the linked data is inevitable trend with the development of network, knowledge discovery must change in order to adapt to this new environment. How to follow the general rules on the basis of knowledge discovery activities according to the data network structure characteristics and organization way and find suitable rules and model for knowledge discovery in the web of data is the new development direction.The new operation mode and service mode brought by linked data has changed the information structure and environment, knowledge discovery process and model has changed dramatically. In recent research at home and abroad, the study of knowledge discovery in web of data is still in the preliminary stage, the technology and the process of knowledge discovery in linked data environment are not very accurate definition. In this paper, we carried on the thorough discussion from two aspects:linked data technology and knowledge discovery process, we illustrate the knowledge discovery process technologies and model and enrich the relevant theory of linked data and knowledge discovery. The discusses of core technologies and process implementation of knowledge discovery in the web of data not only help to promote the development of knowledge discovery, but also provide practical solutions for knowledge discovery activities.The main content of this paper is about the knowledge discovery in the web of data, we carried on the topic from linked data and knowledge process. On the basis of summarizing the recent research at home and abroad, we illustrate the basic theory of linked data and knowledge discovery, define the process of knowledge discovery in the web of data, discuss the technologies and the linked data role in knowledge discovery process, put forward the model of knowledge discovery process in the linked data environment, and the function of each module of the model and technical implementation is discussed in detail, finally we prove the validity of the model by LiDDMT application on empirical analysis.