Foldedness Simple Weighted Word Index Word
Count Word Count Density (%) Group A 21.6 10.6 15.6 31.8 Group B 41.8 13.8 21.8 37.2 Group C 93,8 17.8 27.8 46.2
A thesaurus provides (where appropriate) broader, narrower, or related terms for a given index word
. Then there may be a controlled vocabulary, so that specific words or concepts are always indexed to the same word, so that "magazine," "newsletter," trade journal," and "periodical" are all indexed under the term "periodical."
The morphological analysis uses a number of grammatical rules to extract candidate index words. The weight assignment technique computes weights for these words relative to the container document.
In the first stage, we adopt the results of the automatic indexing unit, where we retrieve the index words with the highest weights.
For example, if an input of a web service is annotated with the concept OrderRequest: http://www.w3.org/2002/ws/sawsdl/spec/ontology/purchaseord er#OrderRequest, then this concept is used in the index, much as a traditional search engine would index words
. The advantage of approaching web service registration as indexing in a search engine is that we can take advantage of the work already done in the indexing area of classic search engines.
A list of Bowle's firsts (twenty-one of them by Eisenberg's reckoning) is impressive: the first to number the lines of the Quixote; to annotate it fully; to index words
and proper names; to map Don Quixote's Spain; to grant Cervantes the stature of a "classic" author, and so on.
The selected words are referred to as index words. Manual indexing of text documents is considered to be a cumbersome task in information retrieval.
Our work retrieves RR (retrieved) relevant index words, RI (retrieved) irrelevant index words, and NRR (not retrieved) relevant words; that is, NRR = N - RR.
Each topic has a field for defining index words
and a context sensitive identifier string that links it to an application menu, button or dialog.
and use the Index panel to locate topics based on index words
. Forward and backward buttons navigate through recently viewed topics.
Some gather information contained within the [less than]HEAD[greater than] [less than]/HEAD[greater than] HTML tags, others index words
found in the introductory text or collect every word contained in the document, still others extract a limited combination of all of these.
Solely making use of keywords and index words
was the biggest problem of early coword analysis.