By Nguyen Quoc Viet Hung, Nguyen Thanh Tam, Lam Ngoc Tran, Karl Aberer (auth.), Xuemin Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang (eds.)
This ebook constitutes the complaints of the 14th overseas convention on internet info platforms Engineering, clever 2013, held in Nanjing, China, in October 2013. The forty eight complete papers, 29 brief papers, and 10 demo and five problem papers, awarded within the two-volume court cases LNCS 8180 and 8181, have been rigorously reviewed and chosen from 198 submissions. they're geared up in topical sections named: internet mining; net advice; net providers; facts engineering and database; semi-structured information and modeling; net facts integration and hidden internet; problem; social internet; info extraction and multilingual administration; networks, graphs and Web-based enterprise approaches; occasion processing, internet tracking and administration; and cutting edge innovations and creations.
Read or Download Web Information Systems Engineering – WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II PDF
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This quantity is a part of the Ceramic Engineering and technology continuing (CESP) series. This sequence incorporates a selection of papers facing matters in either conventional ceramics (i. e. , glass, whitewares, refractories, and porcelain tooth) and complicated ceramics. issues coated within the sector of complicated ceramic comprise bioceramics, nanomaterials, composites, good oxide gasoline cells, mechanical houses and structural layout, complex ceramic coatings, ceramic armor, porous ceramics, and extra.
This publication constitutes the court cases of the 14th overseas convention on internet details platforms Engineering, clever 2013, held in Nanjing, China, in October 2013. The forty eight complete papers, 29 brief papers, and 10 demo and five problem papers, provided within the two-volume lawsuits LNCS 8180 and 8181, have been conscientiously reviewed and chosen from 198 submissions.
1969 marked the go back of the Cryogenic Engineering convention, now affiliated with the nationwide Academy ofSciences in the course of the department ofEngineering, nationwide examine Council, to the college of California at l. a.. As in 1962, the Cryogenic Engineering convention gratefully recognizes the help of UCLA, its Engineering and actual Seien ces Extension department, and specifically J.
Extra resources for Web Information Systems Engineering – WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II
To model these types of workers, we use two parameters: sensitivity—the proportion of actual positives that are correctly identified—and specificity—the proportion of negatives that are correctly identified. Following the statistical result in , we set randomly the sensitivity and specificity of each type of workers as follows. H. Nguyen et al. 9, 1]. 9]. 4] is selected. 6. 8, 1]. Answer Simulator. This component generates worker answers for two types of questions. (1) Binary-choice (yes/no): in the literature, the two-coin model  is used to generate worker answers for each object.
Therefore we develop some features aiming to capture the linguistic properties of a tweet which include the percentage of tokens that are open-class, the percentage of tokens that are nouns, the percentage of tokens that are verbs and the percentage of tokens that are adjectives or adverbs. We use the Twitter Part-of-Speech Tagging 8 to tag the tweets . Fluency: The ﬂuency of a text can capture the readability of a tweet and we use language model to tackle the ﬂuency of text. We take the probability of a tweet t under a particular language model (LM) as the ﬂuency score F (t).
In general, GLAD as well as EM-based approaches are sensitive to arbitrary initializations. Particularly, GLAD’s performance depends on the initial value of worker expertise α and question diﬃculty β. In fact, there is no theoretical analysis for the performance guarantees and it is necessary to have a benchmark for evaluating diﬀerent techniques in the same setting. Iterative Learning. Iterative Learning (ITER) is an iterative technique based on standard belief propagation . It also estimates the question diﬃculty and the worker expertise, but slightly diﬀerent in details.