The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Extracting and accessing knowledge in a KnowledgeBase is a crucial task. Documents must be computationallyunderstood and transformed into accessible knowledge. Specifically, the farming industry has a notable importance due tothe wide variety of information from text documents that needto be interpreted, often by a human. These documents, oftenrelates to regulations, chemicals, seeds and fertilizers...
In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design...
In knowledge processing systems, data is gathered from several sources, in the system, some calculating and processing steps are taken, and finally a result is computed and may be used for further steps or other systems. Most of the time the origin of input data is not verified. Using unverified data may cause inconsistencies in processing and generating output, and could lead to corrupting threats...
Context-driven query extraction for content-basedrecommender systems faces the challenge of dealing with queriesof multiple topics. In contrast to manually entered queries, forautomatically generated queries this is a more frequent problem. For instances if the information need is inferred indirectly viathe user's current context. Especially for federated search systemswere connected knowledge sources...
Of all the perspectives about what inconsistencies entail and how we can handle them, one that escapes our attention is that inconsistencies can serve as effective stimuli to learning because they often help reveal the inadequacies, gaps, deficiencies, or boundary conditions in an agent's problem-solving knowledge. In this paper, we describe a new machine learning approach: inconsistency-induced learning...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.