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The scale of the social web has integrated users in order to organize shared resources. Users freely associate keywords (tags) to resources. This collection of tags creates a folksonomy. Folksonomy is a collaborative tagging system, which has grown popular with its simplicity of free tagging. However, it rises up a number of issues such as ambiguous and redundant tags. So as to achieve an optimal...
The fundamental objective of an information search system based on interest center and the user profile is to return, from a collection of documents, the elements that are relevant to specific user needs. The selection of only documents interesting a user is done on the basis of interest center, calculated from the information about the user named user profile. The information retrieval systems converge...
Adaptive Hypermedia Environments are a suitable means for developing personalized educational content that can respond to the needs of heterogeneous cohorts. These resources are increasingly built upon the Semantic Web, powered by the development and deployment of ontologies. After experimenting the automatic creation of domain ontologies from educational reference books and their use within semantic...
MOOCs (Massive Open Online Courses), a new form of learning, are characterized by a large scale of subscription. Thus, appropriate assessment strategies should be implemented to support massive data flows. In this paper, we are interested in studying the Peer Assessment in MOOCs based on Inquiry Based Learning (IBL), iMOOCs. Our contribution is a continuation of our previous research work. In fact,...
This paper discusses a framework for the design of business services, called Service System (SS). SSs are a layer built on the top of Internet of Things (IoT) and Internet of Services (IOS). SSs integrate two components, Internet of Business (IOB) and Internet of Data (IOD). IOB delivers complex business services that combine services from IOS and IOT. In turn, IOD links semantically the information...
Additively to the emergence of wireless networking, high technology and reliability of mobile devices have enabled the widespread use of mobile computing. Currently, this last is in vogue and booming. Today, the combination of mobile networks with Web Services called "Mobile Web Service", opening a promising horizon for the economy. They offer (Mobile Web Service) new personalized services...
This paper is devoted to some preparations for ontology-based semantic learning object metadata, including discovering the mappings between metadata elements and ontologies, and the development of relevant ontologies, i.e. Context Ontology and Content Ontology. The result shows that most of the standard metadata elements are compliant with ontology primitives, and it is feasible to enhance the semantic...
Ontology is a conceptual model, which is used on data exchange between heterogeneous data sources in semantic web, and liked by many people. Because of the shortage of the uniform standards for constructing ontology, it brings in lots of problems of ontology heterogeneity. Ontology mapping aims at these problems, and semantic similarity between ontologies is the key part of ontology mapping. In this...
Web 2.0 allows users to freely publish information regarding several subjects. Social content websites may take advantage of such by creating means for dissemination and creation of collaborative knowledge. However, an adequate environment is needed for the insertion of such information on social content websites. Mobile 2.0 incorporates some Web 2.0 concepts on mobile platforms using context-aware...
Ontologies are the knowledge repositories that enable meaningful inter-agent communication in semantic web frameworks. To support the huge number of services that will be developed in the semantic web, ontologies are growing larger and larger to accommodate as much knowledge as possible. Accordingly, the process of maintenance, reuse, reasoning and integration of ontology becomes very computationally...
Keyword based search scheme imposes the problem of representing a lot of web pages in the search engines. Query expansion with relevant words increases the performance of search engines, but finding and using the relevant words is an open problem. In this research we describe a new model for query expansion which employs user context and semantic concepts to discover new words for obtaining accurate...
Adaptive hypermedia systems traditionally focus on providing personalized learning services. This feature involves the search for content tailored to a given learner. To accomplish this goal, sophisticated search mechanisms are required, particularly the semantic tools. The goal of this paper is to examine the issue of the semantic web and Learning Objects in Adaptive Hypermedia Systems, to assemble...
Personalized search, navigation and content delivery techniques have attracted interest in the recommender systems as a means to decrease search ambiguity and return results most relevant to a particular user preferences. In this paper, we study the effect of incorporating user semantic profile derived from past user's behavior and preferences on the accuracy of a recommender system. We present a...
Social bookmarking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures aka folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics...
Recent developments in computer science and networking technologies motivate new families of applications that are sensitive to user and ambient contexts. The objective is to offer adaptive services that can be personalized to users' needs within heterogeneous, complex and dynamic environments. This requires enhanced and generic solutions for context representation and retrieval as well as for the...
Existing search and content management technology is facing a challenge of locating desired content with the exponentially growing volume of documents. An approach for mitigating this issue is to make use of user-generated tags. However, the improvements are limited because tags are (1) free from context and form, (2) user generated, (3) used for purposes other than description, and (4) often ambiguous...
An intelligent content adaptation system taking semantic adaptation method is built to provide good personalized service for user. Compared with some website using web mining and collaborative Filtering technology, in this system, the intelligence comes from the knowledge service providing by CBKMF(ontology-Cloud based knowledge manage framework), in which knowledge modeling, managing, data-mining...
In envisioned smart environments, enabled by ubiquitous computing technologies, electronic objects will be able to interconnect and interoperate. How will users of such smart environments make sense of the connections that are made and the information that is exchanged? This Internet of Things could have a life of its own, exchanging digital concepts and values between its members, having an understanding...
Matchmaking is the basis of service discovery and composition. Using ontology semantically express the capabilities of services, accurately match, discovery and composition service. Domain ontologies and Formal Concept Analysis (FCA) aim at modeling concepts, the role of FCA in ontology engineering is supporting the critical task of reusing independently developed domain ontologies. Evaluating concept...
Traditionally information retrieval consists mainly of determining which documents of a collection contain the keywords in the user query. However, a growing number of tasks, especially those related to Semantic Web technologies and applications rely on accurately measuring the similarity between documents and online texts. Instead of giving the absolute similarity degree of two documents, this paper...
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