@article {443,
	title = {Evaluation model for internet cloud data structure audit system},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {108 - 113},
	abstract = {As 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{\textquoteright}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.},
	keywords = {Audit system evaluation, Cloud data structure, Could data processing, Information processing, Internet},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903171427\&partnerID=40\&md5=13723b36a13841eb49681a783fae6727},
	author = {Fan, W.}
}
@article {456,
	title = {Research on ontology construction and information extraction technology based on wordnet},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {114 - 119},
	abstract = {Introducing ontology in the field of information extraction can effectively improve the performance of information extraction. Ontology of college teachers{\textquoteright} 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.},
	keywords = {Information processing, Ontology construction, Ontotology construction, Similarity calculation, Word net},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903142066\&partnerID=40\&md5=34f76335049f1f44a30d7889f3b2dfd6},
	author = {Hua, H.}
}
@article {153,
	title = {Classification of digital libraries - An e-business model-based approach},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2008},
	pages = {71 - 80},
	abstract = {The 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.},
	keywords = {Digital libraries, Digital libraries evaluation, Information processing},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849121020\&partnerID=40\&md5=5183b0da70e4e961e3e8e1e49f3af703},
	author = {Markscheffel, B. and Fischer, D. and Stelzer, D.}
}
