Characteristics of SOA-based Virtual Enterprise service integration are analyzed by using SOA and web Services for Virtual Enterprise Multi-source Heterogeneous system integration. A structural model of SOA-based Virt...
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Characteristics of SOA-based Virtual Enterprise service integration are analyzed by using SOA and web Services for Virtual Enterprise Multi-source Heterogeneous system integration. A structural model of SOA-based Virtual Enterprise Multi-source Heterogeneous Service Integration is proposed in this paper and the composition of principle, the method of encapsulating service, and the process of service integration are described in detail. Finally, the model is achieved by using BPEL language and Oracle BPEL Designer. the result of study shows that the model is effective and correct, and provides the theoretical foundation, the program realization and the specific method for building a stable and efficient Virtual Enterprise and realizing Virtual Enterprises rapid seamless integration among its members.
It is very seldom for us to think that in the communication process, the most important element is the listener (student) to be able to capture and process the informationthat we delivered to them accurately. Besides...
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It is very seldom for us to think that in the communication process, the most important element is the listener (student) to be able to capture and process the informationthat we delivered to them accurately. Besides, have we ever think that even if the students are not considered as having learning disabilities, there are also students who might have the trouble to listen, understand and respond to the learning content that we delivered to them? Have we ever thought about how to measure, how far or how accurate that the students have achieved or responding back to us about what they have learned before? A study showed that the students that are having less listening ability are synonym withthe problem of interaction, academic and behavior (Rowe, Stephanou & Hoad, 2007). If we let this kind of problems to continue, these students will have high potentials to drop outs. Moreover, this paper will also suggests the development of the auditory processing intervention instrument to identify the auditory processing abilities among students in higher education institution.
the paper discusses the network calculus and its application for streaming media transmission in packet switched networks. With more and more new services and applications deployed over the Internet, the demands for a...
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ISBN:
(纸本)9781424446568
the paper discusses the network calculus and its application for streaming media transmission in packet switched networks. With more and more new services and applications deployed over the Internet, the demands for a new theory and tool have been required tremendously. Conventional queueing theory has some limitations and difficulties in its application for the new services over Internet, since conventional queuing theory is based on stochastic theory. In a simple word, queuing theory assume each packet are independent with each other and conventional network mainly cares about packets. However, such assumption is not suitable for streaming media applications in the Internet. Network calculus provides a new approach to analysis the queueing problem in packet switched networks, particularly it provides a better analysis tool for streaming media. the network calculus is a flow based analysis tool and it will be much helpful for the information integrity and the transmission continuity for the streaming media. the paper introduces the network calculus and researches its applications for streaming media transmission.
In information Retrieval (IR), the similarity scores between a query and a set of documents are calculated, and the relevant documents are ranked based on their similarity scores. IR systems often consider queries as ...
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In information Retrieval (IR), the similarity scores between a query and a set of documents are calculated, and the relevant documents are ranked based on their similarity scores. IR systems often consider queries as short documents containing only a few words in calculating document similarity score. In Computer Aided Assessment (CAA) of narrative answers, when model answers are available, the similarity score between Students' Answers and the respective Model Answer may be a good quality-indicator. With such an analogy in mind, we applied basic IR techniques in the context of automatic assessment and discussed our findings. In this paper, we explain the development of a web-based automatic assessment system that incorporates 5 different text analysis techniques for automatic assessment of narrative answers using vector space framework. We apply Uni-gram, Bi-gram, ***, Keyphrase Extraction, and Keyphrase with Synonym Resolution before representing model answers and students' answers as document vectors; and then we compute document similarity scores. the experimental results based on 30 narrative questions with 30 model answers, and 300 student's answers (from 10 students) show that the correlation of automatic assessment with human assessment is higher when advanced text processing techniques such as Keyphrase Extraction and Synonym Resolution are applied.
Recently, many researches of various fields that used a ubiquitous sensor network are going on. Specially, various experiment had a function of monitoring without human is preceded in the environmental fields where ac...
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ISBN:
(纸本)9780769532738
Recently, many researches of various fields that used a ubiquitous sensor network are going on. Specially, various experiment had a function of monitoring without human is preceded in the environmental fields where access of a person is difficult. For example, in Korea, various pilot u-city projects are driven by nation. this paper designed a service as it used a wireless sensor network to measure and monitor environmental information in the campus.
Ontologies are increasingly used in many domains, such as knowledge management, information extraction, the semantic web and so on. More and more ontologies have been published on the web, with different scope and qua...
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ISBN:
(纸本)9780769532738
Ontologies are increasingly used in many domains, such as knowledge management, information extraction, the semantic web and so on. More and more ontologies have been published on the web, with different scope and quality. Ontology evaluation has been proposed as one strategy for quality assurance of ontologies. In this paper, we propose a democratic ranking system analogous to that used by *** and eBay, with an innovation that we separate the reviewers into deferent groups of domain experts, ontology researchers, and common users. By using the server side Java technologies and Ajax technology, we developed a prototype system which can evaluate ontologies uploaded by users in both an objective and a subjective way.
An Improved TBL based post-processing approach is proposed for Japanese named entity recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error driven l...
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ISBN:
(纸本)9780769532738
An Improved TBL based post-processing approach is proposed for Japanese named entity recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could be used in special domains perfectly for its learning domain linguistic knowledge automatically, the learnt rules could not go over fit as well. the experimental results show that a high result can be achieved in precision for Japanese NER.
Withthe continuous growth in the number of available web news sites and the diversity in their presentation of content, there is an increasing need in mining the news correlation on the web to keep tracking of succes...
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ISBN:
(纸本)9780769532738
Withthe continuous growth in the number of available web news sites and the diversity in their presentation of content, there is an increasing need in mining the news correlation on the web to keep tracking of successive development of specific event. In this paper a new approach of topic tracking of Chinese news web pages is presented. Temporal information extracted from news texts and "key web contexts" extracted from HTML documents is used to improve the performance of dependency structure language model (DSLM). Experimental results are examined that shows the usefulness of our approach.
the semantic web service retrieval model in popular had put forth by foreign scholars does not take full account of the differences between the languages, and the service request needs to do Chinese word segmentation ...
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ISBN:
(纸本)9780769532738
the semantic web service retrieval model in popular had put forth by foreign scholars does not take full account of the differences between the languages, and the service request needs to do Chinese word segmentation firstly in Chinese retrieval. In the given semantic web service OWL-S/UDDI retrieval model after semantic expanding, considering the characteristics of Chinese language, advertisement matches withthe service request OWL-S documents generated by segmentation and semantic expansion, consequently, the dynamical searching and composition of web services is realized combining the semantic web set-vices technology.
Many Internet applications employ 3-tier software architecture such as e-commerce system. Starting from analyze the architecture of an e-commerce development platform model based on 3-tiered web, We present by using q...
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ISBN:
(纸本)9780769532738
Many Internet applications employ 3-tier software architecture such as e-commerce system. Starting from analyze the architecture of an e-commerce development platform model based on 3-tiered web, We present by using queuing network theory, we propose a reusable e-commerce development platform based on 3-tiered web. Finally, we implement the MVA algorithm withthe help of MATLAB and test the experimental data in LoadRunner benchmark.
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