1. Statistical approach for search, recommendations, related things, similar people really works. However, it cannot cover all needs just because statistics is always about probability and averaging. There are a lot of automatic algorithms, which decide on behalf of us what information to provide and how to process it. At the same time, it is evident that such decisions could not be ideal even in theory, because we make decisions basing on our whole experience and all our knowledge, whereas machines take into account only tiny fraction of personal information and behavior. Of course, human decisions and processing is not ideal too. Therefore, we need to fill the gap between decisions made by humans and machines, in general, and between human-friendly representations of information (like natural language, user interfaces) and machine-friendly representations of information (data, formats, etc), in particular.
2. Semantic Web positions itself as "Web of data", conventional Web is, in fact, "Web of pages" (or information resources), also there are proposals for "Web of things". Of course, ideally, future Web should include everything: data, pages, things, abstract conceptions, and even natural language. Therefore the conception of semantic link is proposed, which allows referring to both specific things and conceptions, and abstract information and contexts (which covers some area of meaning).
3. Semantic Web does not provide user interface for semantics. But we need not only representation for semantics, but also human-friendly way to deal with semantics. Proposed approach provides such a way through simplified Semantic Web: usage of hypertext as human-friendly representation plus improvements in user interfaces. Semantic line interface (SLI) combines features of command line (CLI) and graphical interface (GUI). CLI features may include top level access to any identifier and an order of identifiers which is similar to natural language one. GUI features may include convenient information representation in checkboxes, lists, etc.
4. Library-like approach for file systems and URL does work too. However, it works more efficiently in real world than a search of a string throughout books. However, in computers everything is quite the contrary: a search could be more efficient than using hierarchy. Google proved that by making search more efficient than portals. Later, Wikipedia proved that organized information in some cases can be more efficient than search. Truth is somewhere between the opposites: information may be organized with the help of semantics, basing on identification, relationships, and contexts.
5. Today, we live in scattered world of data, code, applications, interfaces and other computer entities. As a result of that, integration of different systems and applications is considered as the separate task, because to work together data and applications should either comply with one standard or be integrated in some way. Proposed approach solves this problems by several techniques: semantic wrapping of any computer entity and ability to use semantic links for that, representing of any information (provided by a page, an application, whatsoever) in uniform way (textlet).