{'fraction_non_alphanumeric': 0.01948051948051948, 'fraction_numerical': 0.0, 'mean_word_length': 5.514084507042254, '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}}
Satisfying user Expectations in Ontology-driven Compositional Systems - A Case Study in Fish Population Modeling

Ontology-Driven Compositional Systems (ODCSs) are designed to assist a user with semior fully automatic composition of a desired system. Current research with ODCSs has been conducted around the discovery and composition of web services and alternatively a bottom-up resource management approach to automatic system composition. This paper argues that current ODCSs do not truly satisfy user expectations as the semantic knowledge required to make proper discovery, decision-making and composition has not been fully represented. The authors introduce the beginning of their work of utilizing the inheritance of multiple ontologies to fully represent the functional, data, quality & trust, and execution of compositional units within an ODCS. Furthermore, a case study of fish population modeling is presented.