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Rating 3.5 the ontology has been used in the interaction, that is which elements have been queried, which paths have been navigated, etc. By tracking the users interactions with the application in a log le, it is possible to collect useful information that can be used to assess the main interests of the users. In this way, we are able to obtain implicit feedback and to extract ontology change requirements to improve the interaction with the application. Evolution Management: The process of ontology evolution is supported by the evolution management infrastructure. The rst important aspect is the discovery of changes. While in some cases changes to the ontology may be requested explicitly, the actual challenge is to obtain and to examine the nonexplicit but available knowledge about the needs of the end-users. This can be done by analyzing various data sources related to the content that is described using the ontology. It can also be done by analyzing the end-user s behavior which leads to information about her likes, dislikes, preferences or the way she behaves. Based on the analysis of this information, suggested ontology changes can be made to the knowledge worker. This results in an ontology better suited to the needs of end-users. In the following sections, we will discuss the possibility of continuous ontology improvement by semi-automatic discovery of such changes, that is data-driven and usage-driven ontology evolution. tiff file to pdf converter software free download: TIFF to PDF Converter - Download word to pdf converter software for windows 8.1 Free Word to PDF Converter - Download
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