The Internet has become an integral part of human life, yet the web still utilizes mundane
interfaces to the physical world, which makes Internet operations somewhat mechanical …

In this paper, we propose a novel method for Information Extraction (IE) in a set of
knowledge in order to answer to user consultations using natural language. The system is …

Pencarian informasi berdasarkan query oleh pengguna, yang diharapkan dapat
menemukan koleksi dokumen berdasarkan kebutuhan pengguna, dikenal dengan …

This paper presents an enhanced vector space model, Multi-Term Adjacency Keyword-
Order Model, to improve the relevancy of search results, specifically document search. Our …

During the past few years, the commercial Web search engines have augmented their
underlying index structures by significantly enriching the information which describes the …

Both named entities and keywords are important in defining the content of a text in which
they occur. In particular, people often use named entities in information search. However …

The rising quantity of available information has constituted an enormous advance in our
daily life. However, at the same time, some problems emerge as a result from the existing …

In this work the author proposes to describe a new model of information retrieval. They
studied the effects of using weighted index terms recognition mistakes in a document …

Background Computational approaches to transcription factor binding site identification
have been actively researched in the past decade. Learning from known binding sites, new …

In this paper we have proposed user feedback driven Information retrieval model. The
proposed model assigns weights to the retrieved documents based on its context. The …