List of Tables

Chapter 1. The case for the digital Babel fish

Table 1.1. Tika’s main methods of media type detection. These techniques can be performed in isolation or combined together to formulate a powerful and comprehensive automatic file detection mechanism.

Table 1.2. Tika’s key design goals, numbered and described briefly for reference. Each design goal is elaborated upon in detail in this section, and ties back to the overall necessity for Tika.

Chapter 2. Getting started with Tika

Table 2.1. Information included in views of the Tika GUI window

Table 2.2. Key methods of the Tika facade

Chapter 3. The information landscape

Table 3.1. Some underlying principles of the REST architecture and their influence on the web’s scalability. These are only a cross-section of the full description of REST from Fielding’s dissertation.

Table 3.2. Information representative of the type collected about users of e-commerce sites. This would then be fed into a collaborative filtering, clustering, or categorization technique to provide recommendations, find similarities between your purchasing history with that of other users, and so on.

Chapter 4. Document type detection

Table 4.1. Officially specified top-level media types by IANA. These types form the basis for a detailed classification framework of available document types. Children are allowed for each top-level type, indicating some specialization of the parent (a more specific schema, a slightly different encoding format, and so on).