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ISBN: 978-972-8939-25-0 © 2010 IADIS3.2 Instance Recommendation with named Entity ExtractionThe set of terms extracted by the above process is not necessarily the same as the one the user expects as theinstances for a certain class. Naive recommendation may put a heavy strain on the user for proper selection ofa large number of terms. This paper, therefore, proposes an adaptation filter, which combines the NEE andthe hierarchical structure of the ontology to raise the accuracy of extraction.If the intended set Si of the user is equal to the extracted set Se, then all members of Se are registered tothe list. This is an ideal case. However, if not, we have two cases.3.2.1 Improvement of RecallIf only a few terms of Si are included in Se (Fig.4 left), recall will be low because of few correct terms in Se.So we add some terms of Si, which are not included in Se, and try to extend Se to Se' (experiment 1).SiNeed to add●Nissan●Matsuda● Chrysler●Toyota●Daihatsu●Suzuki●Mitsubishi●GM●Honda● Cadillac●Ford●Sony●DaikinSeRecommendedtermsSe’Extended setSeSiRecommended termsNeed to add●Matsuda●Nissan●Toyota●Daihatsu●Mitsubishi●Suzuki●Honda●Sony●Daikin●Ford●GM●Cadillac●ChryslerSxNeed to delete3.2.2 Improvement of PrecisionFigure 4. |Se∩Si|