基于視覺(jué)特征的WEB頁(yè)面信息抽取技術(shù)的研究.pdf

1、西北師范大學(xué)碩士學(xué)位論文基于視覺(jué)特征的WEB頁(yè)面信息抽取技術(shù)的研究姓名：杜鵬申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：王治和200905AbstractWiththerapiddevelopmentofInterwebhasbecomethelargestinfmationsourceinthewld.Inpeoplesjoblearninglivingentertainmentwebasthecarrierofinfmation

2、technologyhasbecomeanimptanttool.Webdevelopmenttohumanlifebroughtgreatconvenienceitcantranscendtimespacelimitstosharesubstantialinfmation.Thisinfmationisexponentiallygrowth.Sohowtoeffectivelyusethisinfmationtobecomeanimp

3、tantresearchtopicthereissubstantialtechnologiesapplicationsinwebasasourceofinfmationinrecentyearsthewebinfmationextractiontechnologyattractedagrowingnumberofresearchersattention.Duetothedataofthewebpagesbelongtosemistruc

4、tureddatalackofstrictnmsofsyntaxstructuresothetraditionalnaturallanguageprocessingtechnologyisnotapplicabletowebinfmationextractionwell.Webpagesisrecognized，explainedshownbyBrowerviewedbyusers，inwhichthereisalotofvisiona

5、cters.Soifthevisioninfmationinwebpagescanbeusedfinfmationextraction，complexlinguisticknowledgewouldbeavoided.Therefe，thefocusofthestudyistousethenaturallanguageprocessingthevisionfmationtogethertoovercometheshtcomingsofe

6、achotherrealizeextractinginfmationfromwebpages.InthispaperthestudycombinesthenaturallanguageprocessingtechnologyvisualacteristicsofHTMLpagesinthewebpagetoextractinginfmationfromwebpagesconductedthefollowingresearchwk.Fir

7、st，researchonwebinfmationextractiontechnologydevelopmentanalysisoftheirresearchsummedupthecurrentwebinfmationextractiontechnologydeficienciesexist.Secondresearchinthesemistructuredwebpageinfmationofvisualfeaturessomeheur

8、isticrulesbasedonvisualfeaturestopageblock.Fthewebpagecoarsegrainedblocktofinegrainedconversionproblemwebpageofthereganizationofthesmallestsubblockproblemproposeanalgithmofwebpageinfmationextractionbasedonthevisualacteri