Titlebook: Web Information Systems Engineering – WISE 2017; 18th International C Athman Bouguettaya,Yunjun Gao,Qing Li Conference proceedings 2017 Spr

箴言

A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List n the mutual dependency between the result cache and the posting list cache. A series of experiments were conducted on a real data set and the results have demonstrated the improvement of the hit ratio of our proposals.

Vertical

顛簸地移動

Real-Time Target Tracking Through Mobile Crowdsensingcamera networks. Tracking is proceeded by reports, which either come from cameras or smart phone users. Intra-camera tracking is performed on selected cameras to identify target, and smart phone users can report with live photo or text when seeing the target. Such schema can largely help tracking ta

transient-pain

Crowdsourced Entity Alignment: A Decision Theory Based Approachotation and entity alignment). In crowdsourced entity alignment tasks, there are usually large numbers of candidate pairs to be verified by the crowd workers, and each pair will be assigned to multiple workers to achieve high quality. Thus, two fundamental problems are raised: (1) question selection

上坡

柔軟

Iterative Reduction Worker Filtering for Crowdsourced Label Aggregationdundant answers labeled from multiple workers to obtain the reliable answer. Researchers have proposed various statistical approaches for this crowd label aggregation problem. Intuitively these approaches can generate aggregation results with higher quality if the ability of the set of workers is hi

amputation

Semantic Web Datatype Inference: Towards Better RDF Matchingzed in order to better determine similar RDF documents. In this paper, we propose a datatype inference process based on four steps: (i) predicate information analysis (i.e., deduce the datatype from existing range property); (ii) analysis of the object value itself by a pattern-matching process (i.e

explicit

euphoria

How Fair Is Your Network to New and Old Objects?: A Modeling of Object Selection in Web Based User-Ohis paper, we propose a growth model for user-object bipartite network that describes selection pattern of web objects. Here, both users and objects grow but edges evolve only from the object set. The network evolves by the arrival of external edges brought by new objects and/or internal edges creat

Hyperplasia

Modeling Complementary Relationships of Cross-Category Products for Personal Ranking the focus is on similar products recommendation with little or no intention to investigate the cross-category and the complementary relationship between categories and products. In this paper, a novel method based on Bayesian Personalized Ranking (BPR) is proposed to integrate the complementary inf