01469nas a2200193   4500008004100000245006800041210006800109260000900177300001400186490000700200520082000207653002801027653002501055653002601080653002701106653001301133100001201146856011701158       2014                        eng d00aEvaluation model for internet cloud data structure audit system0 aEvaluation model for internet cloud data structure audit system  c2014  a108 - 1130 v123 aAs economic globalization and information industry develop at top speed, Internet has penetrated into all walks of life rapid, with an immeasurable impact on all aspects of people's life. Computer technology is an integral part in the evaluation of audit system, technically prepared for application of cloud data structure in the evaluation of audit system. Based on the concept of Internet cloud data structure, this paper constructs a new audit system evaluation model. Firstly, it performs a theoretical analysis of Internet cloud data structure audit system; then it explores applications of cloud data structure audit system; finally, feasibility of cloud data structure audit system is evaluated by means of AHP and fuzzy analysis. It is found that the system has incomparable superiority in audit practices.10aAudit system evaluation10aCloud data structure10aCould data processing10aInformation processing10aInternet1 aFan, W.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84903171427&partnerID=40&md5=13723b36a13841eb49681a783fae672701506nas a2200193   4500008004100000245009300041210006900134260000900203300001400212490000700226520082900233653002701062653002601089653002801115653002701143653001301170100001201183856011701195       2014                        eng d00aResearch on ontology construction and information extraction technology based on wordnet0 aResearch on ontology construction and information extraction tec  c2014  a114 - 1190 v123 aIntroducing ontology in the field of information extraction can effectively improve the performance of information extraction. Ontology of college teachers' resumes are constructed in the form three layers of ontology framework structure on the basis of exploring the related technologies and criterion for building ontology, the Racer inference engine is used for realizing the consistency and accuracy detection. WordNet similarity calculation method is improved on the basis of this, so that manual collection method can be integrated into WordNet semantic similarity, thus substantially improving this method. The test shows that the result precisions based on WordNet ontology construction and information extraction both see significant improvement, which sufficiently shows the feasibility and validity of the method.10aInformation processing10aOntology construction10aOntotology construction10aSimilarity calculation10aWord net1 aHua, H.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84903142066&partnerID=40&md5=34f76335049f1f44a30d7889f3b2dfd601638nas a2200193   4500008004100000245007700041210006900118260000900187300001200196490000600208520097800214653002201192653003301214653002701247100002101274700001601295700001601311856011701327       2008                        eng d00aClassification of digital libraries - An e-business model-based approach0 aClassification of digital libraries An ebusiness modelbased appr  c2008  a71 - 800 v63 aThe impact of digital libraries on information processes steadily increases. Today, users may choose from a rapidly increasing number of digital libraries with various characteristics. Business models for digital libraries evolve from mere content providers to sophisticated service suppliers They offer a rich variety of information services combined with collaboration, e-learning and portal features. Traditional classification schemes for digital libraries do not sufficiently take this development into account or fail to meet it at all. In this paper we present a novel approach to the classification of digital libraries. It is based on business model characteristics with special emphasis on the evolution of digital libraries from content to information service providers. Our classification approach helps suppliers to communicate benefits and features of their libraries more effectively. It also supports customers when selecting an appropriate digital library.10aDigital libraries10aDigital libraries evaluation10aInformation processing1 aMarkscheffel, B.1 aFischer, D.1 aStelzer, D.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849121020&partnerID=40&md5=5183b0da70e4e961e3e8e1e49f3af703