By Udo Kruschwitz
Collections of electronic records can these days be came across all over in associations, universities or businesses. Examples are websites or intranets. yet looking them for info can nonetheless be painful. Searches frequently go back both huge numbers of fits or no appropriate suits in any respect. Such rfile collections can range much in measurement and what kind of constitution they convey. What they've got in universal is they in most cases do have a few constitution and they conceal a constrained diversity of themes. the second one element is considerably diversified from files on the internet usually. the kind of seek method that we suggest during this publication can recommend methods of refining or enjoyable the question to aid a person within the seek approach. which will recommend brilliant question transformations we'd want to know what the records are approximately. particular wisdom in regards to the record assortment encoded in a few digital shape is what we'd like. in spite of the fact that, ordinarily such wisdom isn't on hand. This booklet describes how that wisdom could be contructed immediately. This ebook demonstrates how rfile markup constitution can be utilized to build area types for collections of in part dependent files exhibits how such wisdom can be used while looking the record collections provides applied seek platforms which exhibit the usefulness of this method.
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Additional resources for Intelligent Document Retrieval: Exploiting Markup Structure
G. g. g. “botany”). Note that this method needs to have a set of positive examples in the ﬁrst place. Based on that one can infer the structure by comparing the distribution of terms in the positive examples with the distribution in the entire collection. A simple algorithm to construct graph models of related words is introduced by Widdows and Dorow . The method can be used for “assembling semantic knowledge for any domain or application” and is based on grammatical relationships such as co-occurrence of nouns or noun phrases and needs only a corpus tagged for part-of-speech.
An interesting aspect in this context is that query logs have shown that users actually make use of the presented terms for query reﬁnement. A more detailed account of this work can be found in Anick’s PhD thesis , where two systems are presented. One of them, Paraphrase II, identiﬁes a set of topics (facets) by clustering the document collection prior to query time. The second system, Paraphrase II, I constructs the facets on the ﬂy. In both cases the facets are then used to expand them into sets of compounds.
G. ). The cost to create the resources can be enormous and it is diﬃcult to apply these solutions to other domains where the document structure or domain coverage is not known in advance. There is also an ongoing discussion as to how applicable ontologies are. Sp¨ a¨rck Jones argues that the Text Retrieval Conference series (TREC) “has continued to cast doubt on the added value, for ad hoc topic searching, of structured classiﬁcations and thesauri or (to use the currently fashionable term) ontologies” .