{'fraction_non_alphanumeric': 0.01592623637887678, 'fraction_numerical': 0.0, 'mean_word_length': 5.596685082872928, '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}}
Representing Metaknowledge through Rich Links

Despite the Web being designed as a space for teamwork and organisational activities, current Web technology provides adequate support only for access to information, while its support for information comprehension and for interaction between people is weaker. A deeper understanding of the Web as a hypertext-based communication vehicle represents a key feature of Web information systems engineering and helps to achieve support at these higher levels of abstraction. Much of this involves capturing and representing metaknowledge about documents and their links. One of the key means to enrich the structure and interrelationships between pieces of information is through link attributes, together with facilities for utilising these, such as link attribute queries, graphical overviews and guided tours. This kind of rich links may provide a fundamental solution to complement basic navigation, and these may become invaluable in complex, knowledge-intensive domains, such as electronic commerce, software design or teamwork. The business value of rich links comes from added value in these systems, and from better information for end-users.