{'fraction_non_alphanumeric': 0.014145810663764961, 'fraction_numerical': 0.0, 'mean_word_length': 4.714285714285714, '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': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Web-based Prototype of Fish Image Searching System

To develop a system that can identify a fish by its image, this paper summarizes the system which is being developed by our group to setup the fish geometric ontology base, convert image data to morphological features and compare these features with the ontology base. The positive result will return not only the fish name, it will also return the type it belongs to, and the intuit relation of the fish identified and provide links the existing web resources and display the interested properties of habit that a user may be interested, like the akin of the fish, the living places, and its food preferences. The system is proposed for both biological researcher and normal interested web users. The program is programmed in Java. The current knowledge bases are mostly in owl format and can be converted to oracle or Mysql for uniformed web application purposes.