With the rapid growth of service scale, there are many services with the same functional properties but different non-flmctional properties on the Internet. There have been some global optimizing service selection alg...
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With the rapid growth of service scale, there are many services with the same functional properties but different non-flmctional properties on the Internet. There have been some global optimizing service selection algorithms for service selection. However, most of those approaches cannot fully reflect users' preferences or are not fully suitable for large-scale services selection. In this paper, an ant colony optimization (ACO) algorithm for the model of global optimizing service selection with various quality of srevice (QoS) properties is employed, and a user-preference based large-scale service selection algorithm is proposed. This algorithm aims at optimizing user-preferred QoS properties and selecting services that meet all user-defined QoS thresholds. Experiment results prove that this algorithm is very efficient in this regard.
Association Link Network (ALN) is a kind of Semantic Link Network built by mining the association relations among Web resources for effectively supporting Web intelligent application such as Web-based learning, and kn...
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Recently, with more and more disasters occurring in the world, people have increasingly realized the importance of the disaster relief. Many systems occur at this time to provide different functionalities. The differe...
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Data locality has recently been extensively exploited in Cloud computing to improve system performance. However, when schedule Map tasks in Hadoop MapReduce framework working in a heterogeneous environment, existing m...
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The measurement of textual complexity is a fundamental issue on e-learning, online question-answering, web search and browsing, etc. But it is still a challenge because the measuring process includes a series of cogni...
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With the increase of information scale of web events on the time, it is extremely difficult and challenging to grasp the semantics of web events artificially, because of the limitation of the time and energy of human ...
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With the increase of information scale of web events on the time, it is extremely difficult and challenging to grasp the semantics of web events artificially, because of the limitation of the time and energy of human beings. Herein, we propose a method to map the web event to keyword level association link network (KALN) for deep analysis of the semantics of web events, such as the evolution semantics of web events. Firstly, the original KALN is constructed at a given time by traditional data mining technologies. Then, the hierarchical KALN, consisted of Theme Layer Network, Backbone Layer Network and Tidbit Layer Network, is built based on the original KALN by information entropy to identify the different semantic levels of the web event, including stable semantics, sub-stable semantics and unstable semantics. With the semantic analysis of hierarchical KALN, human could easily gain a thorough understanding of the web event. Finally, experiments show that our method can effectively capture the different level semantics of web events.
Web search is a key information retrieval method for human beings in current society, both in the fields of academic and commercial activities. Due to "one-size-fits-all" approach limit to search results obt...
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Web search is a key information retrieval method for human beings in current society, both in the fields of academic and commercial activities. Due to "one-size-fits-all" approach limit to search results obtainment, there are still challenges to give personalized web service with high precision in traditional web search process. Herein, a new framework is proposed to advance traditional search process into a new paradigm, i.e. interactive search. First, a cognitive model of interaction process about one search step is developed by the imitation of human search behaviors. Then based on the theory of interactive computing, an interactive search model is introduced to formalize successive search sessions which include several search steps. Third, based on human's cognitive mechanism such as the spreading activation model and user memory theory, a user model is designed to capture user's search activities which can aid the interactive search process effectively. Last, by the help of Associated Link Network, an information gradient based rank algorithm is proposed aiming at maximizing the quantity of web information supply. The efficiency of our proposed interactive search service is verified by the experimental results.
Great progress has been made in the research of Ternary Optical computer (TOC). Based on the existing research, it is of great importance to study the efficiencies and the computational complexities of the new compute...
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Collection, processing, storage and maintenance of samples to facilitate long-term cohort studies in biobanks, requires a system to manage samples in an effective way to prevent sample mix up and loss. Sample identifi...
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In this paper a concurrent, connection-oriented communication server of the monitor system of Ternary Optical computer is designed and realized. The function and accomplishment of each sub module in the communication ...
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In this paper a concurrent, connection-oriented communication server of the monitor system of Ternary Optical computer is designed and realized. The function and accomplishment of each sub module in the communication server are described in general. Some important communication algorithms and structures are defined, and the program structure and implementation of the lower computer communication module is described in detail. Series of experiments of the communication server are designed and completed. The feasibility, rationality and completeness of the communication server are verified by the experimental results.
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