![]() ![]() On the other hand influence of SE methods and tools on the practical design of KBS within KE. The general goal of the workshop is to show how the KE techniques can provide practical solutions in Software Engineering issues. Moreover the workshop endeavors to promote the use of KE techniques in SE problems, where significant benefits can be derived from their use. The primary objective of the workshop is to bring together researchers and practitioners from fields of KE and SE. Thus, declarative software engineering techniques have been established in many areas, such as knowledge systems, logic programming, constraint programming, and lately in the context of the Semantic Web, business rules as well as business processes. This stimulates the synergy between KE methods and SE methods and tools. Moreover, recent developments in SE emphasize the importance of the use of formalized symbolic representations in the software development process. Since most of the implementations of today KBS are software based, Software Engineering (SE) methods and tools play an important role in their development. More specific from Artificial Intelligence (AI) in a broad sense, that has recently included computational intelligence techniques. The classic KE approach to system modelling uses mostly symbolic logic-based symbolic knowledge representation methods, which are ![]() Knowledge Based Systems (KBS) have been successfully developed in various domains based on techniques and tools from Knowledge Engineering (KE). Organized by the European Coordinating Committee for Artificial Intelligence (ECCAI) All of the above characteristics, have been estimated for this station based on their agronomical importance in rain-fed agriculture.Knowledge Engineering and Software EngineeringĪt the European Conference on Artificial Intelligence ECAI 2012 Some important agronomical parameters, such as start and end of rains, rainy periods, probability of the occurrence of wet and dry spells following a rainy and/or a dry day, maximum daily rainfall with different probabilities, cumulative ratio of the start and end of rains based on agronomical assumptions, estimation of annual and monthly rainfall and their cumulative ratios, estimation of the average number of rainy days during each month, estimation of the amount of daily rainfall in different return periods (2 to 200 years), probability of the occurrence of the number of rainy days in different months, and prediction of different dry spells, have been analysed, using SMADA and EXCEL software. The occurrence of rainfall in Sabzevar, Iran has been analysed, based on daily rainfall data of fifty years. This is especially important in rain-fed agriculture, because of its complete dependence on the precipitation. In scientific agricultural planning, it is necessary to know how the precipitation occurs. ![]()
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