Constructing Topic-specific Search Keyphrase Suggestion Tools for Web Information Retrieval

We devised a method to extract keyphrases from the Web pages to construct a keyphrase list for a specific topic. The keyphrases are identified and out-oftopic phrases removed based on their frequencies in the text corpora of various densities of text discussing the topic. The list is intended as a search aid for Web information retrieval, so that the user can browse the list, identify different aspects of the topic, and select from it keyphrases (e.g. find synonymous phrases) for a query. A keyphrase list containing a large set of keyphrases related to climate change was constructed using the proposed method. We argue that there is a need for such keyphrase suggestion tools, because the major Web search engines do not provide users with such terminological search aids that help them identify different topic aspects and find synonyms.