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Abstract

Experimental subjects wrote abstracts using a simplified version of the TEXNET abstracting assistance software. In addition to the full text, subjects were presented with either keywords or phrases extracted automatically. The resulting abstracts, and the times taken, were recorded automatically; some additional information was gathered by oral questionnaire. Selected abstracts produced were evaluated on various criteria by independent raters. Results showed considerable variation among subjects, but 37% found the keywords or phrases 'quite' or 'very' useful in writing their abstracts. Statistical analysis failed to support several hypothesized relations: phrases were not viewed as significantly more helpful than keywords; and abstracting experience did not correlate with originality of wording, approximation of the author abstract, or greater conciseness. Requiring further study are some unanticipated strong correlations including the following: Windows experience and writing an abstract like the author's; experience reading abstracts and thinking one had written a good abstract; gender and abstract length; gender and use of words and phrases from the original text. Results have also suggested possible modifications to the TEXNET software

Source

Journal of the American Society for Information Science. 51(2000) no.8, S.745-756

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Abstract

Assignability of authors to Web pages using either normal browsing procedures or browsing assisted by simple automatic extraction was investigated. Candidate strings for 1000 pages were extracted automatically from title elements, meta-tags, and address-like and copyright-like passages; 539 of the pages produced at least one candidate: 310 candidates from titles, 66 from meta-tags, 91 from address-like passages, and 259 from copyright-like passages. An assistant attempted to identify personal authors for 943 pages by examining the pages themselves and related pages; this added 90 pages with authors to the pages from which no candidate strings were extracted. Specific problems are noted and some refinements to the extraction methods are suggested.

Source

Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad

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Source

Journal of information science. 30(2005) no.3, S.268-

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Abstract

Sets of top-ranking pages in 20 languages returned by the Google search engine were downloaded and analyzed for presence of meta tag descriptions and lengths of descriptions. Results showed significant differences in proportion of pages with descriptions and in lengths of descriptions depending on language; specifically, pages in major Western European languages showed higher proportions with descriptions, while pages in Chinese showed the lowest proportions. Descriptions were mostly in the languages of the pages, though English descriptions were provided on some non-English pages. With few exceptions, coding schemes adopted for diacritics and non-Roman characters were standard.

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Abstract

Advice given in printed and web-based sources on HTML META tags with NAME='DESCRIPTION' is surveyed.To determin patterns of relationships among descriptions on the same site,links were followed automatically from 460 pages registered withYahoo! and previously found to contain descriptions.Sites where the registered page pointed to many other pages were significantly less likely to reuse the same description on those other pages; where different descriptions were used words from the registered page's description tended to appear toward the beginnings of other descriptions.