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The user profile is a way of describing user characteristics using collected information about what the user prefers. However, it cannot be used for other applications with a general purpose, because it is generally created for personal recommendation and search. Furthermore, there are restrictions to analyze the user profile in terms of temporal influence in mobile environments. In this paper, in...
This paper is about the Mobile Audio Ontology, a semantic audio framework for the design of novel music consumption experiences on mobile devices. The framework is based on the concept of the Dynamic Music Object which is an amalgamation of audio files, structural and analytical information extracted from the audio, and information about how it should be rendered in realtime. The Mobile Audio Ontology...
Mobile eLearning are capable to avail children in improving learning capabilities, self-consciousness living, and profession growth. They can inspire the perfection of eLearning with the diverse subservient smart handled devices. Most available software applications that are attainable by children are done without taking in consideration their needs and specific deficiency. We have investigated Arabic...
This paper preferences extraction and ranking functions in mobile search that captures the users' preferences in the form of concepts by mining their click through data. Due to the importance of location information in mobile search, it classifies these concepts into content concepts and location concepts. In addition, users' locations (positioned by GPS) are used to supplement the location concepts...
In existing mobile content service systems, the study is quite rare on automatic situation-service rule construction. Hence, a method is proposed that the semantic association rules between situations and preferences are built by quantitative frequent marked lattice. Different recommendation rules can be extracted along multi-dimensional context routes from this lattice structure. It is propitious...
The paper proposed and developed a core component an “information agent shell,” IAS, to apply in the general Web systems and investigate the related problems with the extension in a wide variety of application areas. The shell contains the four main components: OntoCrawler, OntoExtractor, OntoClassifier, and OntoRecommender, which are responsible for information searching, information extracting,...
Location is the basis of location-based services. From the point of view of semantics, mining potential knowledge of locations can provide valuable information for intelligent and adaptive location application services. In this paper, location obtained by mobile positioning system is abstracted as physical location and geographic location. A new definition of semantic location is put forward by revising...
As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference. In this paper, we propose a new web search personalization approach that captures the user's interests and preferences in the form of concepts by mining search results and their clickthroughs. Due to the important role location information plays in mobile search,...
To improve the mobile searching efficiency in 3G mobile telephones, a personalized searching technology based on subject-word customizing model is presented, which is focused on the semantic association among subject words. First, a knowledge bases describing model about subject-word according to ontology is proposed. Second, the article researches to use the meanings of subject words to match combined...
This study provides the decision of situation service ontology model framework for providing the knowledge service in which it relates to the dynamic situation in the next generation network environment and it most determines an appropriate according to the various situations and presents that the knowledge base of the ontology base is useful. Presented at a preexistence is focused on the method for...
Today's mobile Internet service portals offer thousands of services and mobile devices can host plenty of applications, documents and web URLs. Hence, for average mobile users there is an increasing cognitive burden in finding the most appropriate service among the many available. On the other hand, methodologies such as bookmarks and resource tagging require a great arranging effort to handle increasing...
Natural Language communication between customers and products within in-store shopping environments enables new forms of product interfaces and an improved filtering and intuitive presentation of product information. In this article, we describe how customer's access to product information at the point of sale can be improved through the use of dialogue systems and heterogeneous web-based representations...
The ability to provide both rich and natural answers with respect to a given question, and clear explanations for failures, is a crucial aspect for a future generation of question answering systems able to interact with a user. We argue that such abilities are necessarily based on a deep analysis of the content of both the question and the answer, and propose an ontology-based approach to represent...
Recent developments of information technologies are leading the advent of mobile device oriented context-aware applications, which means using context to realize some novel applications on mobile devices. The context-aware application needs a framework for context information management. In this paper, we propose a mobile device oriented framework for context information management to solve the problems...
A Web service in ubiquitous computing environments usually serves many consumers, with specific functional or nonfunctional requirements. Thus, Web service should be customized and easy to be separated into semantic logic. In this paper, we present our research on mobile Web service customization based on our previous work - SPBCA (semantic pattern-based context-aware) middleware. We exploit the tuple...
Mobile devices are in a widespread use today. Restricted by the features of mobile devices, such as mobility, low communication bandwidth, small capacity of memory, limited power and inconvenient interaction, mobile services are required to recommend items adapting to the user need and location. Much existing research on recommendations ignores semantic information of user dynamic historical preferences...
In recent years, there are a large number of foreign students coming to learn Chinese language. However due to the characters of Chinese language, it is usually difficult for them to learn. In order to provide a suitable mobile environment to learn Chinese language for foreign students, this paper presents an approach to context-aware mobile chinese language learning (CAMCLL) for foreign students...
Employment of university graduates is important to the overall development of a country. Lack of an effective communication channel between labor supply and demand is one of the most important reasons that lead to the declining employment rate of university graduates. Aiming at this problem, a mobile service application platform is established in this paper. In order to handle uncertainty of employment...
After years of research on ubiquitous learning, there is a trend of incorporating ubiquitous learning into mainstream of education. This demands new generation e-Learning system for learning anywhere, at any time, with any device. The paper introduces our on-going research efforts in the field. In the work, the concept called ubiquitous learning object (ULO) is proposed, and the functions on a ULO...
Creation of pedagogical learning models to handle the specificity of mobile learning and the inherent constraints of mobile devices is a fundamental challenge in mobile learning. In this paper, we propose a generic semantics-based service-oriented architecture (SOA) and show how ontologies, when used together with Web services, can provide mobile users with a fresh learning experience. The proposed...
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