25 Result(s)
within
English
Information Systems Applications (incl. Internet)
Chunxia **g
Conference Paper
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Chapter and Conference Paper
A Domain-Specific Formal Ontology for Archaeological Knowledge Sharing and Reusing
Inherent heterogeneity and distribution of knowledge strongly prevent knowledge from sharing and reusing among different agents and across different domains; formal ontologies have been viewed as a promising m...
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Chapter and Conference Paper
Ontology-Based Web Agents Using Concept Description Flow
The Semantic Web is now emerging to give the explicit meanings to information that makes the process and integration of Web-based information easier for machines to carry out automatically, so services on the ...
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Chapter and Conference Paper
A Chinese Time Ontology
Temporal knowledge representation and identification are crucial in many application areas, such as Semantic Web, knowledge sharing and reusing, and natural language processing. Building time ontologies has be...
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Chapter and Conference Paper
A Bootstrap** Approach for Chinese Main Verb Identification
The task of main verb identification is to recognize the predicate-verb in a sentence. This task plays a crucial role in various areas such as knowledge acquisition, text mining, and question answering, and is...
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Chapter and Conference Paper
A Transformation-Based Error-Driven Learning Approach for Chinese Temporal Information Extraction
Temporal information processing plays an important role in many application areas such as information retrieval, question answering, machine translation, and text summarization. This paper proposes a transform...
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Chapter and Conference Paper
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model
Recently, as blog is becoming a popular medium to express opinions, blog opinion retrieval excites interest in the field of information retrieval. It helps to find and rank blogs by both topic relevance and op...
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Chapter and Conference Paper
Design of an Improved Method of Rijndael S-Box
According to the design criterion of S-box in Rijndael algorithm, a number of S-boxes with good cryptographic properties were constructed, and the avalanche probabilities of these S-boxes were analyzed from va...
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Chapter and Conference Paper
Crevasse Detection in Antarctica Using ASTER Images
The crevasse, which has always been one of the most dangerous factors on the Antarctic continent, threatens the life of the team members during the polar expedition. Crevasse detection is thus an increasingly ...
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Chapter and Conference Paper
Influences of Temperature of Vapour-Condenser and Pressure in the Vacuum Chamber on the Cooling Rate during Vacuum Cooling
The temperature of vapour-condenser below 0°C and the final pressure in the vacuum chamber below 0.61kPa during vacuum cooling were experimentally analysed in this paper. The temperature of vapour-condenser, -...
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Chapter and Conference Paper
Research on Security of VoIP Network
As a voice transmission technology based on packet switching, VoIP is quite different from traditional telephone service which is based on circuit switching, which results in specific security issues on VoIP n...
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Chapter and Conference Paper
Analysis of the Heat Transfer Performance of Vapor-Condenser during Vacuum Cooling
The heat transfer performance of vapor-condenser has been studied under different temperature of cold trap and different thickness of the frost layer in this paper. The relationship between dimensionless number N...
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Chapter and Conference Paper
A Probability Model for Related Entity Retrieval Using Relation Pattern
As the Web is becoming the largest knowledge repository which contains various entities and their relations, the task of related entity retrieval excites interest in the field of information retrieval. This ch...
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Chapter and Conference Paper
Active Discovery Based Query Federation over the Web of Linked Data
For many applications over the Web of Linked Data, it is a key challenge to access multiple distributed data sources in an integrated and transparent way. In traditional federated query, data from unknown data...
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Chapter and Conference Paper
Classification of Opinion Questions
With the increasing growth of opinions on news, services and so on, automatic opinion question answering aims at answering questions involving views of persons, and plays an important role in fields of sentime...
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Chapter and Conference Paper
Saliency-Based Content-Aware Image Mosaics
In this paper, we propose a novel content-aware image mosaic approach based on image saliency. The image saliency is used in the whole process of creating an image mosaic with variable size tiles, while a nove...
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Chapter and Conference Paper
LAW: Link-AWare Source Selection for Virtually Integrating Linked Data
With the wide adoption of linked data principles, a large amount of structural data have emerged on World Wide Web. These data are interlinked and form a Web of Data. Yet, so far, only little attention has bee...
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Chapter and Conference Paper
Question Classification Based on Fine-Grained PoS Annotation of Nouns and Interrogative Pronouns
Question classification is one of the key components of Open Domain Question-Answering System. It has become a research focus for its capability to perform Natural Language Processing. The task of question cla...
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Chapter and Conference Paper
A Novel Recommendation Relevancy Measure for Collaborative Filtering
Recommendation systems help people find their potential interests. In recommendation algorithms relevancy measures play an important role. Current relevancy measures often employ only user-item rating data or ...
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Chapter and Conference Paper
Study on the Layered Calculation Model for Railway Network Car Flow Estimation
Car flow estimation is the base to make transportation plans of the next day and car flow adjustment measures before blockage occurs. It is difficult to solve car flow estimation problem directly. The layered ...
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Chapter and Conference Paper
A Supervised Parameter Estimation Method of LDA
Latent Dirichlet Allocation (LDA) probabilistic topic model is a very effective dimension-reduction tool which can automatically extract latent topics and dedicate to text representation in a lower-dimensional...
