Annual Research Symposium (ARS)

Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/154

Browse

Search Results

Now showing 1 - 3 of 3
  • Item
    Web Content Bookmarking Tool with Automatically Generated Titles
    (Book of Abstracts, Annual Research Symposium 2014, 2014) Kumarika, B.M.T.; Dias, N.G.J.
    With the development of technology, it has become essential to use the World Wide Web (WWW) for many day to day life activities. Whenever we navigate in the web, we are used to bookmark the most important and useful web pages so that those pages can be accessed later easily. But it is commonly noted that depending on the interests and relevant subject fields of a particular web user, the most useful focus can be on a specific part of a web page rather than the whole page. Therefore, the intention of this research is to introduce an efficient and novel method to bookmark all the specific contents or small part of text in each web page stored in one location corresponding to the interests of every individual web user. The most outstanding feature is that each bookmarked content will be well organized by the system suggested meaningful titles. To accomplish this task, key phrase extraction method which incorporates computational intelligence and web technologies is employed.
  • Item
    Handling issues with unknown words in POS Tagging
    (Book of Abstracts, Annual Research Symposium 2014, 2014) Jayaweera, A.J.P.M.P.; Dias, N.G.J.
    Appearance of unknown words is one of the frequently occurring problems facing in part of speech tagging process, i.e., the words that appear in sentences, but are not contained within the lexicon. New words are continually coined to the language, and people will often use words that a parsing system may not expect. This problem get worse when NLP systems are used for more and more on-line computer applications. Acronyms and proper names are created very often and new nouns and verbs are adding to the language in a surprising rate. So it is impossible to train the tagger for every possible word in the language. So unknown words are non-negligible in part of speech tagging and such unknown words should be handled by further processing with exceptional mechanism, since the statistical information or rules for those words are unknown. Therefore, in order to build a complete tagger, tagger must be incurred with some knowledge of suggesting the tag for an unknown word.
  • Item
    A sales management system using cloud computing technology
    (Book of Abstracts, Annual Research Symposium 2014, 2014) Wijethunga, I.A.; Dias, N.G.J.
    At present, cloud computing technology is used in many applications because of the rapid development in network technology and the cost of transmitting a terabyte of data over long distance has extremely reduced in the past decade. Cloud computing is a technique based on distributed computing resources in pay per usage strategy. A user can access cloud services as a utility service and able to use them almost instantly. These features make cloud computing so flexible with the fact that services are accessible anywhere at any time.