{'fraction_non_alphanumeric': 0.013675213675213675, 'fraction_numerical': 0.0, 'mean_word_length': 5.511111111111111, '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}}
Enabling Semantic Integration of Streaming Data Sources

We propose a distributed ontology-based approach for integration of streaming live data sources, using extensions of SPARQL for streams and declarative mappings for query rewriting. The challenge of exposing live data from streams such as those provided by sensor networks, using semantically rich models and queries is becoming more relevant nowadays. The goal of this PhD thesis is to investigate, analyse and propose solutions that bridge the gap between semantic data access, streaming query evaluation and data integration.