Using Ancillary Text to Index Web-based Multimedia Objects
نویسندگان
چکیده
منابع مشابه
Using Ancillary Text to Index Web-based Multimedia Objects
PériCulture is the name of a research project at the Université de Montréal which is part of a larger project based at the Université de Sherbrooke. The parent project aimed to form a research network for managing Canadian digital cultural content. The project was financed by Canadian Heritage and was conducted during the fiscal year 2003-2004. PériCulture takes its name from péritexte and cult...
متن کاملDistance Learning Using Web-Based Multimedia Environment
The "schooling industry" is faced with an inescapable demand to redefine its endeavors in terms of producing learning, rather than providing instructions. We propose a hybrid learning model to attract distance as well as traditional students. One of the major components of this model is the web-based learning and interaction. We review the available avenues of distance learning and offer a mode...
متن کاملEXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...
متن کاملUsing Semantics to Identify Web Objects
Many common web tasks can be automated by algorithms that are able to identify web objects relevant to the user’s needs. This paper presents a novel approach to web object identification that finds relationships between the user’s actions and linguistic information associated with web objects. From a single training example involving demonstration and a natural language description, we create a...
متن کاملUsing Text Learning to help Web browsing
Web browsing is gaining popularity with the growing number of Web users, especially for a casual usage of the Web, when the user does not have a precise query in mind. By observing the user’s behavior when browsing, we build a model of promising hyperlinks and use it to highlight hyperlinks on the requested Web pages. In order to do that, we propose text learning methods for handling high dimen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Digital Scholarship in the Humanities
سال: 2006
ISSN: 2055-768X,2055-7671
DOI: 10.1093/llc/fql018