data-architecture-a

The remainder of this chapter will be an explanation of logic that is found in textual disambiguation. Inline Contextualization ...

Also, note that the ending delimiter must be specified exactly. In this case, if the term does not end in a “.” the system will ...

Fig. 10.1.7 Processing a taxonomy against raw text. As a simple example of the application of a taxonomy to raw text, consider t ...

Note that textual ETL operates on taxonomies/ontologies as if the taxonomies were a simple word pair. In fact, taxonomies and on ...

As an example of the use of custom variables, consider the following raw text: ...I want to order two more cases of TR-0987-BY t ...

The fourth element of homographic resolution is that each of the homographic classes must have typical words assigned to the cla ...

Acronym Resolution A related form of resolution is that of acronym resolution. Acronyms are found everywhere in raw text. Acrony ...

The following entry would be placed in the analytic database: Document name, byte, context—absent without official leave, value— ...

As an example of negation analysis, consider the raw text “...John Jones did not have a heart attack....” The data that would be ...

Fig. 10.1.12 Tagging numerical values. As an example of how textual ETL might read a document and tag a numeric value, consider ...

While a human being can read these forms of data and understand what is meant, a computer cannot. Data standardization by textua ...

Fig. 10.1.14 shows how raw text is read and processed into a recognizable list in textual ETL. Fig. 10.1.14 List processing. Con ...

Fig. 10.1.15 Associative word processing. As an example of associative word processing, consider the following raw text: Contrac ...

Fig. 10.1.16 Stop word processing. In order to envision how stop word processing works, consider the following raw text: ...he w ...

Fig. 10.1.17 Word stemming. In order to see how textual processes word stems, consider the following raw text: ...she walked her ...

Fig. 10.1.18 shows that document metadata can be created by textual ETL. Fig. 10.1.18 Processing document metadata. Suppose an o ...

Fig. 10.1.19 Classification of documents. As an example of document classification, suppose the corporation has a document on de ...

Fig. 10.1.20 Proximity analysis. As an example of proximity analysis against raw text, suppose there were raw text that looked l ...

analyst. Fig. 10.1.21 Sequencing the many functions of textual ETL. Internal Referential Integrity In order to keep track of the ...

In order to ensure that ALL internal relationships are accurately defined, textual ETL has to have verification processing execu ...