Search (3 results, page 1 of 1)

  • × author_ss:"Haas, S.W."
  1. Haas, S.W.; Grams, E.S.: Readers, authors, and page structure : a discussion of four questions arising from a content analysis of Web pages (2000) 0.00 
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    Abstract
    Previous research describing Web page and link classification systems resulting from a content analysis of over 75 Web pages left us with four unanswered questions: (1) What is the most useful apllication of page types: as descriptions of entire pages or as components that are combined to create pages? (2) Is there a kind of analysis that we can perform on isolated anchors, which can be text, icons, or both together, that is equivalent to the syntactic analysis for embedded and labeld anchors? (3) How explicitly are readers informed about what can be found by traversing a link, especially for the relatively broad categories of expansion and resource links? (4) Is there a relationship between the type of link and whther its target is a whole page or a fragment, or of its target is in the same site or a different site than its source? This article examines these questions
  2. Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996) 0.00 
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    Abstract
    State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
  3. Haas, S.W.: Improving the search environment : informed decision making in the search for statistical information (2003) 0.00 
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    Abstract
    A search for information can be viewed as a series of decisions made by the searcher. Two dimensions of the search environment affect a user's decisions: the user's knowledge, and the configuration of the information retrieval system. Drawing an previous findings an users' lack of search or domain knowledge, this article investigates what the user needs to know to make informed search decisions at the United States Bureau of Labor Statistics (BLS) Web site, which provides statistical information an labor and related topics. Its extensive Web site is a rich collection of statistical information, ranging from individual statistics such as the current Consumer Price Index (CM), to a [arge statistical database called LABSTAT that can be queried to construct a tabie or time series an the fly. Two models of the search environment and the query process in LABSTAT are presented. They provide complementary views of the decision points at which help may be needed, and also suggest useful help content. Extensive examples based an the industry concept illustrate how the information could assist users' search decisions. The article concludes with a discussion of the role of help facilities in Web searching, and the interesting question of how to initiate the provision of help.

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