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Synonym-based searching is considered to be a complicated problem, as text mining from unstructured data of web is challenging. Finding useful information which matches user need from the bulk of web pages is a cumbersome task. In this paper, a novel and practical synonym retrieval technique is proposed for addressing this problem. For replacement of semantics, user intent is taken into consideration...
SemioTag is an approach towards tagging that utilizes the semiotic sign categories icon, index, and symbol as classification structures to be used by users during the annotation and search of images within social media-oriented repositories. We compared the influence of this approach on the tagging and querying behaviour of users, with respect to usability, efficiency, and user experience, between...
This paper reports a novel semantic web application developed to deliver a collaborative tagging system for a digital on-line museum. The key features of our application - called the Virtual Museum of the Pacific - concern the browsing and retrieval interface based on Formal Concept Analysis the extensible distributed data model to support collaborative tagging and its web services implementation.
The main problem of tag-based search in collaborative tagging system (CTS) is the lack of explicit semantic relations between tags. To address this problem, we propose an approach based on the integration of symmetrical and asymmetrical similarity measures to calibrate the relatedness between tags and then further organize them into an ontological structure. We also demonstrate how this extracted...
Tagging is an increasingly important task in natural language processing domains. As there are many natural language processing tasks which can be improved by applying disambiguation to the text, fast and high quality tagging algorithms are a crucial task in information retrieval and question answering. Tagging aims to assigning to each word of a text its correct tag according to the context in which...
Assessing the value of individual users' contributions in peer-production systems is paramount to the design of mechanisms that support collaboration and improve users' experience. For instance, to incentivize contributions, file-sharing systems based on the BitTorrent protocol equate value with volume of contributed content and use a prioritization mechanism to reward users who contribute more. This...
Deeply meanings of Chinese poems are hard to understand for novices. Motivating from the proverb ??A picture is worth a thousand words??, poetry composition together with relevant multimedia is proposed to assist people in understanding Chinese poems. Learning in this way, the format of poetry and context of learning environment can be used to provide composition suggestions. Therefore, how to assist...
Every modern portal ships with some form of internal document library portlet tools that can be used to enable groups to share files. Unfortunately, certain limitations - that the portlet can only view data managed directly by the portal and that document and data files are the only resource that can be browsed - make these tools less valuable in many real-world collaborations. This paper describes...
Tagging-based systems are becoming a widely used tool as they are considered simple and quick to categorize resources. However, due to the free vocabulary used for tagging, and also because of its plane structure, there are some drawbacks inherent to this kind of system, mainly when users do the information retrieval. This paper presents a proposal for the emergence of ontologies from tagging-based...
Named entity (NE) extraction for Thai language is a difficult and time consuming task because sentences in Thai language are composed of a series of words formed by a stream of characters. Moreover, there are no delimiters (blank space) to show word boundaries. Currently, most named entity extraction methods for Thai language are associated with word segmentation and part of speech (POS) tagging processes...
The proliferation of social Web technologies such as collaborative tagging has led to an increasing awareness of their vulnerability to misuse. Attackers may attempt to distort the system's adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. Prior work on recommender systems has shown that studying different...
Community based question and answer systems have been promoted as Web 2.0 solutions to the problem of finding expert knowledge. This promise depends on systemspsila capacity to attract and sustain experts capable of offering high quality, factual answers. Content analysis of dedicated contributorspsila messages in the live QnA system found: (1) few contributors who focused on providing technical answers...
In this paper, one Chinese interrogative sentence words segmentation technology based on the statistics in the intelligent Q/A system was introduced, we elaborated the process of the wordspsila sketchy division, the non-registering words recognition and the words marking which have different means, and the statistical model based on N most short-path's in wordspsila sketchy division was analyzed....
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