Implementation of Knowledge Mining with Ontology Research Paper

Implementation of Knowledge Mining with Ontology - Research Paper Example22). Knowledge mining is the process of merging data tights together, machine knowledge, statistics and any other tie in area so as to obtain important facts and information in bulky quantity of data. Organizations are required to know their data models and pattern (NEMIS. Conference, p. 1). Multi component mining is the process in which knowledge is mined in a larger quantity using a variety of agents. Cloud computation applications In obliterate computing the remote computer does not have to do more and heavy processes any more when running processes. Servers on the cloud mesh run this processes instead. This help in reduction of users need for hardware and software. The following are more reasons to why most companies and organizations should consider cloud computing cloud computing gives an alternative of storing data in another computers hardware. Computer users are able to gain access their data and ap plications wherever at anytime. Cloud computing reduces IT support expenses whereby incase of a technical issue its solved online. It also reduces cost on hardware such as hard drive. One does not have to buy a hard drive with large memory (Strickland, p. 3). We have a number of cloud computing services provided by Google. The applications are as follows Google Talk is a communication application that allows personal computer user to chat, send and receive documents and mails. Gmail is a schedule and an email application that allows each user store files and documents up to 7GB. The other Gmail services are ability to chat, receive mails and enjoy mutual calendar options. Web lay applications provides Google site services to design websites that include built in videos, calendars and pictures. Google Docs are applications that offer document designing and sharing online. Other applications include groups that allow one to enclothe folders and favorites which assist in retrieving t he unread mails (Regina, Budnikas and Ambraziene, p. 263). A Matlab tool accelerates and eases applications when using GPU computing compared to when using FORTRAN or C. The user is able to employ parallel computing tool chest when using GPUs in conjunction with Matlab tools. Parallel computing supports Nvidia Cuda GPUs, many GPUs and GPU operate straight from Matlab. Parallel computing toolbox allows the user compute and work kayoed bulky data difficulties using computer clusters, multi processors and GPUs (MathWorks, p. 1-7). Other cloud computing tools include VOIP, Phone systems, Blog, Wiki and social media tools. VOIP allows users make calls on the internet, for example Skype. Skype allows multiple or group calls at once. The phone system allows one to have a Google voice account that contributes to a cloud based voice mail and responding system. (Jamsa and Jamsa, p. 86- 92). Ontology applications Ontology is employ to design and manage the knowledge applications. These appl ications are associated with the phase of software lifecycles and are concerned with specific components of software such as the controller module, data base and user interface. In order for the application to work more efficiently in ontology deployment and processing, additional tools are employ. The ontology editor is one of the applications in the web and is used to manipulate ontology as it helps in the process of ontology translation to implemented language. They are in the HTML form and enable the