{'fraction_non_alphanumeric': 0.012987012987012988, 'fraction_numerical': 0.0, 'mean_word_length': 5.38860103626943, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Development of Conflation Components

Data updating, integrating and sharing has been one of central issues in GIS. Geodata conflation technology that involves matching the common objects in different data sets, eliminating data discrepancy and combining multiple data sources has been proposed to tackle the problem. During recent decades, many conflation systems have been developed. Due to the complexity of the conflation problem, it has been found that one system is difficult to solve the various types of problems and take all different kinds of cases into account. In this paper, following a review of the status of conflation methods, a system development strategy based on the componentware technology is proposed. This componentware technology makes it possible to develop independent but interoperable components that can be assembled to solve any specific conflation problem. As an example, a conflation component for attribute transfer is developed. This component can be used for transferring attributes from one map with lower spatial accuracy to another with higher spatial accuracy. The algorithm developed for the implementation of the conflation component is presented and the evaluation of results is discussed.