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A summary of a user's Internet activities, such as web visits, can closely reflect their interests and preferences. However, automating the summarization process is not trivial as it should strike a good balance between generality and specificity, while there is no gold standard for doing so. In our approach to summarizing user information, we introduce two scoring mechanisms that cooperatively optimize...
Renewable energy applications nowadays are a critical factor to their success. Making sure that a specific information, service or product from an online provider is reliable and trustworthy may sometimes be a difficult task. The World Wide Web (WWW) is an open environment in which every person is allowed to populate some information. The accuracy or reliability of such information, to some extent,...
Neogeography is the combination of user generated data and experiences with mapping technologies. In this paper we present a research project to extract valuable structured information with a geographic component from unstructured user generated text in wikis, forums, or SMSes. The project intends to help workers communities in developing countries to share their knowledge, providing a simple and...
Adaptation and Personalization systems can benefit with the incorporation of ontological knowledge, especially when it comes to modeling users. In this paper we present a cognitive approach to Web Personalization based on an ontology that contains users' cognitive factors. Accordingly, a human factors' ontology has been designed and developed using RDFa, and could be used in any Web-based application...
The use of domain knowledge is generally found to improve query efficiency in content filtering applications. In particular, tangible benefits have been achieved when using knowledge-based approaches within more specialized fields, such as medical free texts or legal documents. However, the problem is that sources of domain knowledge are time consuming to build and equally costly to maintain. As a...
Today, Internet is a huge database which comprises of a large number of Web sites, search engines and other information. Due to the unstructured and semi structured data in the web pages, it is a challenging task for researchers to make a relevant and efficient search in warehouse of such type of database. Ontology may be a good mechanism for achieving this goal and Web Mining technique may be used...
In this paper the authors suggest an novel approach that uses Wikipedia to measure the semantic relatedness between Chinese named entities, such as names of persons, books, softwares, etc. The relatedness is measured through articles in Wikipedia that are related to the named entities. The authors select a set of ''definition words'' which are hyperlinks from these articles, and then compute the relatedness...
Along with the rapid popularity of the Internet, crime information on the web is becoming increasingly rampant, and the majority of them are in the form of text. Because a lot of crime information in documents is described through events, event-based semantic technology can be used to study the patterns and trends of web-oriented crimes. In our research project on cyber crime mining, we construct...
This paper presents a high-level framework for smart robot perception to learn semantic concepts from videos that crawled from known Internet video sites (e.g. youtube, video-google). Smart perception is one of the most challenging problems for industrial robots. The key barrier for smart robot perception such as object detection and/or category classification is lack of annotated training data. Internet...
As lack of semantic for information description and semantic support for the query processing, traditional Blog systems are unable to satisfying users in the performance of information organization and retrieval. Through analyzing the existing technologies in Blog systems and focusing on semantic retrieval of Blog information resource, this paper proposes Blog information retrieval model based on...
This paper discusses a modality to access and to organize unstructured contents related to a particular topic coming from the access to Wikipedia pages. The proposed approach is focused on the acquisition of new knowledge from Wikipedia pages and is based on the definition of useful patterns able to extract and identify novel concepts and relations to be added in the knowledge base. We proposes a...
In this paper we present a relation extraction system which uses a combination of pattern based, structure based and statistical approaches. This system uses raw texts and Wikipedia articles to learn conceptual relations. Wikipedia structures are rich source of information in relation extraction and are well used in this system. A set of patterns are extracted for Persian language and are used to...
Since the Chinese Websites have increased in the explosive Internet era, making efficient information retrieval systems has become one of the major endeavors, especially in fields of Chinese recognition. In this paper, the authors study the integration of subsequence kernel function based on ontology. Using the vector space model (VSM) to create subsequence kernels, the kernel methodology described...
Social networks and fast blogging services are interesting information sources. Anyone can contribute and submit information that matters to him/her. Among these many digital information sources, some appeared on the Internet as public means to be aware and to follow disasters and their evolutions. However, automatic raw information processing is more or less complex, error producer, relevant and...
In order to meet the need of blog users who want to get more interactive information in blog activities and aim at less understanding on the semantic blog interactivity, the paper proposes a four-layer model which is based on the characteristics of semantic blog, and thoroughly describes the interactive process based on the model. The paper divides the retrieval process of semantic blog into the general...
Motivation: Wiki-based databases are becoming popular in biology research, but many of them do not provide a measure to control vocabulary (ontology) of input data despite their use in multi-user environment. We present an extension to MediaWiki, the most popular Wiki-based platform, which realizes implementation of word checks and data integration at the user-level. With this functionality, any user...
In 2005-06, researchers from the US and the UK met to outline a framework for a new discipline called ??Web Science??. What resulted was the foundation of the ??Web Science Research Initiative?? (WSRI), a multidisciplinary body charged with a mandate to explore - as one coalesced unit - the Web's evolution, design, operation, governance and impact on society. For example, Web Science scholarship is...
Emergent knowledge does not come from a particular document or a particular knowledge source, but comes from a collection of documents or knowledge sources. This paper proposes a system which combines the social Web contents and the semantic Web technology to process the emergent knowledge from the blogosphere. The proposed system regards blog postings as experiences of people on particular topics...
Formulating and executing queries over distributed, autonomous and heterogeneous resources is an important research area. The advent of the Internet and the Web and their inherent ubiquity have brought forth opportunities to query these information sources in an automated and independent manner. In the domain of information extraction, automatic wrapper generation has been well studied but the efficacy...
The types and the ways to organizing network education resources are surveyed. The multilingual thesaurus-ontology is explained. Then it discusses application of multilingual thesaurus-ontology in the organization of network education resources. The purpose of the application is to make network education resources maintain automatically, by the characteristic of self-learning and auto-evolution of...
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