1,721,361 research outputs found
Model-driven development of adaptive web service processes with aspects and rules
No full textAbstract not availableJian Yu, Quan Z. Sheng, Joshua K.Y. Swee, Jun Han, Chengfei Liu, Talal H. Noo
FlexIQ: a Flexible Interactive Querying Framework by Exploiting the Skyline Operator
No full textAbstract not availableMd. Saiful Islam, Chengfei Liu, Rui Zho
Efficient computation of multiple XML keyword queries
No full textAnswering keyword queries on XML data has been extensively studied. Current XML keyword search solutions primarily focus on single query setting where queries are answered individually. In many applications for searching information such as jobs and publications, an application server often receives a large number of keyword queries in a short period of time and many of them may share common keywords. Therefore, answering keyword queries in batches will significantly enhance the performance of these applications. In this paper, we investigate efficient approaches for computing multiple XML keyword queries. We first propose an approach that maximizes the sharing among keyword queries. We then consider useful data information and propose two data-aware algorithms: a short eager algorithm and a log based optimal algorithm. We evaluate the proposed algorithms on real and synthetic datasets and the experimental results demonstrate their efficiencies.Liang Yao, Chengfei Liu, Jianxin Li, and Rui Zho
User feedback based query refinement by exploiting skyline operator
No full textER 2012 WorkshopsThis paper presents FlexIQ, a framework for feedback based query refinement. In FlexIQ, feedback is used to discover the query intent of the user and skyline operator is used to confine the search space of the proposed query refinement algorithms. The feedback consists of both unexpected information currently present in the query output and expected information that is missing from the query output. Once the feedback is given by the user, our framework refines the initial query by exploiting skyline operator to minimize the unexpected information as well as maximize the expected information in the refined query output. We validate our framework both theoretically and experimentally. In particular, we demonstrate the effectiveness of our framework by comparing its performance with decision tree based query refinement.Md. Saiful Islam, Chengfei Liu, and Rui Zho
Top-k keyword search over probabilistic XML data
No full textDespite the proliferation of work on XML keyword query, it remains open to support keyword query over probabilistic XML data. Compared with traditional keyword search, it is far more expensive to answer a keyword query over probabilistic XML data due to the consideration of possible world semantics. In this paper, we firstly define the new problem of studying top-k keyword search over probabilistic XML data, which is to retrieve k SLCA results with the k highest probabilities of existence. And then we propose two efficient algorithms. The first algorithm PrStack can find k SLCA results with the k highest probabilities by scanning the relevant keyword nodes only once. To further improve the efficiency, we propose a second algorithm EagerTopK based on a set of pruning properties which can quickly prune unsatisfied SLCA candidates. Finally, we implement the two algorithms and compare their performance with analysis of extensive experimental results.Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wan
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
On Prediction of User Destination by Sub-Trajectory Understanding
No full textDestination prediction is known as an important problem for many location based services (LBSs). Existing solutions generally apply probabilistic models to predict destinations over a sub-trajectory, but their accuracies in fine-granularity prediction are always not satisfactory due to the data sparsity problem. This paper presents a carefully designed deep learning model called TALL model for destination prediction. It not only takes advantage of the bidirectional Long Short-Term Memory (LSTM) network for sequence modeling, but also gives more attention to meaningful locations that have strong correlations w.r.t. destination by adopting attention mechanism. Furthermore, a hierarchical model that explores the fusion of multi-granularity learning capability is further proposed to improve the accuracy of prediction. Extensive experiments on Beijing and Chengdu real datasets finally demonstrate that our proposed models outperform existing methods without considering external features.Jing Zhao, Jiajie Xu, S, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Feng Zh
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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