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For more than a decade, researchers have been proposing various methods and techniques to mine social tagging data and to learn structured knowledge. It is essential to conduct a comprehensive survey on the related work, which would benefit the research community by providing better understanding of the state-of-the-art and insights into the future research directions. The paper first defines the...
It is a challenge to effectively organize web learning resources and to discovering such resources for facilitating automatic collaboration and problem solving in a web based learning context. We describe how to construct an intelligent learning network based on the semantic data model Learning Semantic Link Network (L-SLN) and propose a methodology to support emerging semantic learning in a semantic...
This article aims at evaluating the interest of the Wicri network, a network of semantic wikis, both as a reservoir of curation rules allowing to enrich corpora metadata and as a tool for parameterizing and supporting of instructions for the creation of corpora exploration servers. Starting, from the analysis of a bibliographic corpus extracted from different documentary databases, the experiments...
This paper aims to present an approach in order to share knowledge between the business actors of the extended enterprise. This approach is based on a semantic wiki that access the organizational memory of our knowledge management system OCEAN. This principle allows us, firstly to share knowledge in order to facilitate the individual work, and secondly to reuse capitalized knowledge automatically.
Article introduces different way how to implement semantic search, using semantic search agent over information obtained directly from web. The paper describes time delay form of semantic network, which we have used for providing of semantic search. Using of time-delay aspect inside semantic network has positive impact in several ways. It provides way how to represent knowledges dependent on time...
This work introduces a semantics-based navigation application called WNavis. It facilitates informationseeking activities in internal link-based websites within Wikipedia. Our goal is to develop an application that helps users easily find related articles on a given topic and then quickly check the content of articles to explore concepts in Wikipedia. We constructed a subject-based network by analyzing...
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.
With the explosive development of the Internet, there is the rapid proliferation of the online science-and-technology cooperation communities (OSTCC), which are playing an increasingly important role in the advances in science and the developments in technology. From another perspective, the basic function of an OSTCC is to provide the participants with knowledge services so as to solve intellectual...
Text keywords at different semantic levels have different semantic representation abilities. Although words have been organized by semantic dictionaries (e.g. WordNet) with exact semantics, the dictionaries can not be constructed automatically by machine and there are still many words which are not included in the dictionaries. This paper proposes a novel method to automatically extract keywords of...
Event processing is a significant evolution in the field of information technology. Semantic link network (SLN) is a semantic data model for managing resources and their semantic relations. This paper proposes a two-layered SLN model for event processing: the matter level and the event level. The event SLN aims to record and manage the evolving process of the matter level. We propose a domain independent...
Recent advances in automatic knowledge acquisition methods make it possible to construct massive knowledge bases of semantic relations, containing information potentially unknown to their users. However for certain data mining tasks like finding potential causes of a disease or side-effects of a drug, where missing a small piece of information can have grave consequences, the coverage of automatically...
Important knowledge can be recovered from relational database (RDB) associated with some information system specific domains and converted to semantics. Studying the processes and Methodological Resources (MR) for this conversion has gained relevance in Knowledge Engineering and, particularly, in the Ontology Learning (OL) field. Such MR, organized in an appropriate manner under a methodological strategy,...
The system of arms information extraction based on the ontology, consists of two parts: knowledge base, processing program. It realizes the arms category determination based on text categorization, and realizes the arms object determination based on named entity recognition. It realizes the information extraction according to information extraction rules based on syntax and semantic constraint. It...
Personal knowledge acquisition in a world where people have to acquire knowledge for task completion on the job constantly is done increasingly based on Web resources. Web resources ranging from mainly text based forms like Wikis up to multimedia resource like videos document knowledge and can be used for knowledge acquisition. Due to the participation of communities in creating content in Web 2.0...
Deep Web information integration has become more and more important due to its rich and high quality data. How to select the most appropriate web database relevant to user's requirement is challenging. However, the existing researches only focus on the data source selection method and ignore the expression of user's query requirement. This paper presents a user query requirements modeling language,...
The world has fundamentally changed as the Internet has become a universal means of communication. The Web is a huge virtual space where to express individual opinions and influence any aspect of life. Internet contains a wealth of data that can be mined to detect valuable opinions, with implications even in the political arena. Nowadays the Web sources are more accessible and valuable than ever before,...
This paper describes the research about Web data mining using Natural Language Processing. System accepts arbitrary data as input from Web document and then extracts information from the document. A new method to implement Web data mining is proposed in this paper. There are three steps in this system. First, the Web document will be decomposed to paragraph, sentence and phrase level. Second, extract...
With the pervasion of Internet and the sharp increase of the number of netizens, Network public opinion has been serving as an effective method in the monitoring and reflection of social public opinion. However, Regulatory Authorities are inclined to concern more about public opinion in a special field while it is too difficult to acquisite the expected information that relates to a special area from...
World Wide Web has become an important knowledge source for many research fields, and quality of Web-acquired knowledge has direct impact on their performance. While evaluation of the vast amount of Web resources is out of question, in this paper we examined thousands of sentences containing twelve preselected words and produced several quality measures including sentence coherence and sense distribution...
In the Future Internet, free exchange of information between enterprise applications and networking systems promotes the personalization of services and enables many different types of end-user applications and management operations optimizing the network performance. As result of this free information exchange, we need to facilitate the federation of information between these applications, harmonizing...
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