By Jianfeng Wang, Lina Ma (auth.), Zhiguo Gong, Xiangfeng Luo, Junjie Chen, Jingsheng Lei, Fu Lee Wang (eds.)
The two-volume set LNCS 6987 and 6988 constitutes the refereed court cases of the foreign convention on net details structures and Mining, WISM 2011, held in Taiyuan, China, in September 2011. The 112 revised complete papers offered have been conscientiously reviewed and chosen from 472 submissions. the second one quantity comprises fifty six papers geared up within the following topical sections: administration info structures; semantic net and ontologies; web pages mining; internet details class; net details extraction; internet intelligence; internet interfaces and functions; net providers and e-learning; and XML and semi-structured data.
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Example text
Secondly, it can process the exceptions and the faced questions automatically with dynamic responding. The main core technology of EERP includes: SOA, BPM (Business Process Management) and semantics. 1 Service Issuance This function issues the services in the service register library, and then to offer the detailed introduction about service function and QoS (Quality of Service). 2 Service Finding This function is used to locate the appropriate services according to the business goal. 3 Service Selection This function is used to select the appropriate services according to the business goal.
M is sum of visiting times for all the applications in all the related domains (including both primary and active domains) of a certain user during considered time stage. N is the multiplication of sampling times in each domain and the number of applications in the same domain. If M>N, AVD is 100%, else AVD is equal to M/N. To study how AVD affects the average precision of reputation calculation, 30 users are divided into 3 groups with 10 users a group according to their AVDs. Figure 2 shows some characteristics obviously.
Table 1. Sampled user’s reputation record of each application Domain A (32 times) A1 1 2 3 4 5 6 7 8 21 23 25 26 26 27 27 29 A2 20 18 19 20 22 22 23 21 A3 13 16 15 15 14 16 18 16 Domain B (15 times) A4 5 5 5 5 5 5 5 5 A1 15 15 15 15 15 15 15 15 A2 17 17 19 18 19 20 20 20 A3 10 10 10 10 10 10 10 10 Domain C (13 times) A4 2 3 5 6 8 12 12 11 A1 18 18 19 20 21 22 23 23 A2 13 16 15 15 14 16 18 16 A3 12 14 13 14 15 15 15 16 A4 5 5 5 5 5 5 5 5 Firstly, weighting factors are determined according to visit times for each domain, and the reputation of cross-domain listed in table 2 is calculated out with data in table 1 according to equation 1.
