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Today, search engines play a vital role in accessing the online content. However, the data in the webpages are not clearly perceived by search engines. As a result, it provides a lot of irrelevant data with little desired information. In addition, it takes a lot of time in searching the appropriate result. By studying the online educational needs of Indian school children, we aim to retrieve appropriate...
It is extremely important that the semantic relation between the information resources for organizing and hunting for information. Many semantic connections are lost between online information resources and off-line information resources. Topic map is a discipline-specific form of concept map, which is generally a representation of concepts about the information and relationship rather than of knowledge...
With the continuous development of the Internet technology, nowadays personalized service and recommendation technology have been paid more attentions. The paper aims at accurate user classification for tag application systems and proposes the feasible solution which can mine users' intention in reviews and extend the tag semantics by open knowledge platform. Experiments validate the proposed solution...
Existing personalized recommendation systems are facing many problems such as cold start, data sparseness and high complexity. Users' interests exist more widely and are more personalized compared with purchasing history in traditional recommendation systems. Thus, applying the interest graph in the recommendation process can make up certain shortages. This paper builds the mechanism of a user-interest-goods...
Motivated by the recent advances on internet of things (IoT) and the importance that location information has on many application scenarios, this article offers references to theoretical and localization-algorithmic tools that can be utilised in connection with IoT. We develop this discussion from basic to sophisticated localization techniques covering also some less-intuitive notions of localization,...
With the rapid development of Internet technology, information resources on the Internet become more abundant, but also bring some problems like diversity, heterogeneity, disorder, and redundancy. Given a brief expression like search keywords only, users' needs are ambiguous. Therefore, current technologies of search applications relying on direct keyword matching cannot meet the requirements of users...
This article first sets forth representative difficulties that most e-learners have been met with, and then proposes a method for structuring personalized concept map (PCM) based on the learners' current situation, thus their real-time curriculum level could be reflected accurately and dynamically. In succession according to the learners' personal study situation the PCM could be divided into three...
Due to the rapid growth of Internet technology, at present we are in the era of information overload. We can often find that individual person describes a topic with the information available at his hand. As a result, there are situations where some important information are missing in one document, while those information are available in another document. This situation is more common if the topic...
With the rapid development of internet technology and e-commerce sites, there are more and more products review in the network. People are willing to make a survey on the internet before purchasing the products. The automatic identification of the sentiment of comments is necessary. We propose a method, which combines sentiment lexicon and dependency parsing to determine the sentiment orientation...
Wikis, as typical well-known knowledge management tools that support collaborative work, are adopted by more and more practitioners and researchers as the basis to develop Distributed Requirements Engineering (DRE) tools. Thus, many wikis which are enhanced specially for supporting various activities in Distributed Requirements Engineering (namely DRE-specific wikis) are developed. The main goal of...
Accurately and effectively measuring the similarity between terms is one way to enhance the performance of information retrieval systems. At present, the extended data source which is used for Mongolian semantic query expansion is still not perfect. A new query expansion method based on Mongolian semantics is proposed for expressing the user's intention more precisely. This query expansion method...
Data sharing in support of situational awareness during complex emergencies remains a challenge to effective response and recovery, despite the fact that significant technological advances have enabled robust mobile data collection capabilities that can operate in both connected and disconnected environments. Current solutions rely on disparate knowledge silos that make situational awareness difficult...
The traditional information retrieval (IR) model always only use the BOW (bag-of-words)-based retrieval model or Concepts-based retrieval model. However BOW-based model ignore the rich semantic relations between the words and text, and Concept-based model always bring in the noisy concepts and loss the precision. Pseudo-relevance feedback (PRF) is a widely used method for improving retrieval effectiveness,...
Effective vocabulary learning has long been a main task of College English teaching and a big challenge for College students. However, the present vocabulary teaching approaches have proven to be time-consuming and ineffective. The integration of corpus-based approach in College English teaching will redefine the roles of teachers and learners, make the classroom more student-centered, and thus increasing...
We propose a mixed logical and game theoretic framework for modeling decision making under the potential for deception. This framework is most appropriate for online communities in which a decision maker must act upon information being provided by various sources with various different motivations. We show that in the simple three-player game we propose there are always equilibria in pure strategies...
With the development of Search Engine, more and more people obtain information and materials easily. However, it is not convenient and quick to get information because we have to spend much time to find what we need in many relevant web pages. It is more difficult to deal with the video information, but there is vast video information in the internet because of more and more people have become video...
This paper proposes a novel idea of reducing the complexity of processing magnanimous information in content services by making use of user behaviour information. A practical approach and an empirical case are elaborated as a pilot and instructive demonstration.
Video sharing sites on the web offer a great amount of video contents, and some of them provide a facility for users to attach comments directly onto the video content. These comments let users know the content without seeing the video itself. In this paper, we propose a method for clustering the videos using the comments attached to them. We used the hybrid method of non-negative matrix factorization...
The Internet of Things envisions a multitude of heterogeneous objects and interactions with the physical environment. The functionalities provided by these objects can be termed as ‘real-world services’ as they provide a near real-time state of the physical world. A structured, machine-processible approach to provision such real-world services is needed to make heterogeneous physical objects accessible...
Seamless mobility is a serious challenge facing the Internet. The IP semantic overload issue presents the technical barriers to the development of mobility. However, the existing mobility support schemes may hardly meet the application requirements. In this paper, we propose SMOS, a seamless mobility support scheme in the Locator/Identifier Split network using techniques including route optimization,...
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