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In recent years, especially audiovisual media have become the predominant media of the internet. To enable content based video retrieval, high quality textual metadata have to be provided that describe the content. Keyword-based search in general is particularly applicable if the searcher really knows what she is
popularity and co-occurrence data. We describe a prototype that leverages the Wikipedia category structure to allow a user to semantically navigate pages from the Delicious social bookmarking service. In our system a user can perform an ordinary keyword search and browse relevant pages but is also given the ability to broaden
Social tagging allows users to assign keywords (tags) to resources facilitating their future access by the tag creator, and possibly by other users. In terms of its support for resource discovery, social tagging has both proponents and critics. The goal of this paper investigates if tags are an effective means for
With the rapid development of information technology, search engine optimization (SEO) technology has attracted more and more attentions. In order to improve their website visit quantity, SEO techniques can make a better ranking in the search result using the keyword selection and deployment, high quality back links
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
Social navigation and social tagging technologies enable user communities to assemble the collective wisdom, and use it to help community members in finding the right information. However, it takes a significantly-sized community to make a social system truly useful. The question addressed in this paper is whether collaborative information finding is feasible in the context of smaller communities...
-independent approach of extracting news stories from web pages is proposed which is based on anchor text and is applicable to most websites. Experiments show our approach performs good and is better than another approach we have found. Second, a domain-based method of representing events is proposed in which hundreds of keywords
, flooding, and global warming. In particular, the Sticker navigates user-generated contents with three dimensional view of space-time(2D+1D) and allows users to retrieve related information with the moving phenomena in a spatiotemporal domain as well as interesting keywords.
Web page recommendation model traces userspsila Web-surfing trails, extracts the useful information including keywords, Web page URLs and userspsila evaluations on Web pages, and automatically generates FCA (formal concept analysis) knowledge base and enterprise ontology knowledge base with WordNet. While users are
related query strings to Web contents. Since the search queries in the community are keywords related to information and knowledge of interest within the community, this navigation reflects implicit knowledge in the community. It is useful especially for community members who are not proficient in search. Such users can
site exploration and enhance user perceptions. Our findings underscore that good Web design must be context specific - structural cues that promote understanding are not necessarily those that promote exploration or enjoyment. Keywords: hypertext comprehension, navigation, perceptions of use, remote user testing
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