Assessing the Impact of XML/EDI with Real Option Valuation

von Dr. Shermin Voshmgir

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[1.] Svr/Fragment 011 04 - Diskussion
Zuletzt bearbeitet: 2020-04-18 20:29:47 [[Benutzer:|]]
Enigma 1999, Fragment, Gesichtet, SMWFragment, Schutzlevel sysop, Svr, Verschleierung

Typus
Verschleierung
Bearbeiter
Schumann
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 11, Zeilen: 4-10
Quelle: Enigma 1999
Seite(n): online, Zeilen: 0
Prior to the emerging of the Internet, it was unusual in the word [sic] of computing to hear the word page used to describe elements of data. But HTML web pages have amazing similarities with paper in their role of information publishing. Both HTML and paper pages:

- Are optimized for visual clarity.

- Focus on ultimate usability (but not on reusability).

- Contain no contextual information.

Prior to the web-quake, it wasn't very often in the world of computing to hear the word "page" used to describe elements of data. [...] That is because HTML and paper have like qualities and play similar roles in the information publishing life-cycle. Namely, they both:
  • Are Optimized for visual clarity
  • Focus on ultimate usability (but not on reusability)
  • Have little or no contextual information.
Anmerkungen

No source is given.

Sichter
(Schumann), WiseWoman


[2.] Svr/Fragment 011 12 - Diskussion
Zuletzt bearbeitet: 2020-01-18 19:25:16 [[Benutzer:|]]
Fragment, Gesichtet, SMWFragment, Schutzlevel sysop, Spider's Apprentice 2000, Svr, Verschleierung

Typus
Verschleierung
Bearbeiter
SleepyHollow02
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 11, Zeilen: 12-31
Quelle: Spider's Apprentice 2000
Seite(n): online, Zeilen: 0
Search engines use software robots to survey the Web and build their databases by retrieving and indexing HTML documents. When a query is entered at a search engine website, input is checked against the search engine's keyword indices. The best matches are then returned as hits. There are two primary methods of text searching: Keyword Searching and Concept-based Searching.

(1) Keyword Searching is the most common form of text search on the Web. Most search engines do their text query and retrieval using keywords or meta-tags. Essentially, this means that search engines pull out and index words that are believed to be significant. Words that are mentioned towards the top of a document and words that are repeated several times throughout the document are more likely to be deemed important. Most search engines index every word on every page. Others index only part of the document, such as the title, headings, subheadings, hyperlinks to other sites, and the first 20 lines of text. Some of the search engines discriminate upper case from lower case; others store all words without reference to capitalization. There are many problems with keyword searching, i.e.: Keyword searches cannot distinguish between words that are spelled the same way but mean something different. This often results in hits that are completely irrelevant to a query. Search engines also cannot return hits on keywords that mean the same, but are not actually entered in your query.

Search engines use software robots to survey the Web and build their databases. Web documents are retrieved and indexed. When you enter a query at a search engine website, your input is checked against the search engine's keyword indices. The best matches are then returned to you as hits.

There are two primary methods of text searching--keyword and concept.

Keyword Searching

This is the most common form of text search on the Web. Most search engines do their text query and retrieval using keywords.

[...] Essentially, this means that search engines pull out and index words that are believed to be significant. Words that are mentioned towards the top of a document and words that are repeated several times throughout the document are more likely to be deemed important.

Some sites index every word on every page. Others index only part of the document. For example, Lycos indexes the title, headings, subheadings and the hyperlinks to other sites, along with the first 20 lines of text and the 100 words that occur most often.

[...] Some of the search engines discriminate upper case from lower case; others store all words without reference to capitalization.

Keyword searches have a tough time distinguishing between words that are spelled the same way, but mean something different (i.e. hard cider, a hard stone, a hard exam, and the hard drive on your computer). This often results in hits that are completely irrelevant to your query.

[...]

Search engines also cannot return hits on keywords that mean the same, but are not actually entered in your query.

Anmerkungen

No source is given.

Sichter
(SleepyHollow02) Schumann



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