subject and its attitudes – which precedence and subservience – are the issues of very important in semantics that manifests in different forms such as subject, character and something similar. subject's rank is precedence; because its reason is the first thing comes to mind. different motivations cause subject's precedence which the present study surveys them by expressive – analytic...

In information retrieval systems, it is very important that indexing is defined very well by appropriate terms about documents. In this paper, we propose a simple retrieval model based on terms distribution characteristics besides term frequency in documents. We define the keywords distribution characteristics using a statistics, standard deviation. We can extract document keywords that term fr...

The manner in which keywords fulfill the role of being central to a document is frustratingly still an open question. In this paper, we hope to shed some light on the essence of keywords in scientific articles and thereby motivate the graph-based approach to keyword extraction. We identify the document model captured by the text graph generated as input to a number of centrality metrics, and ov...

This article discusses a new document indexing scheme for information retrieval. For a structured (e.g., scientific) document, Pasi et al. proposed varying weights to different sections according to their importance in the document. This concept is extended here to unstructured documents. Each sentence in a document is initially assigned weights (significance in the document) with the help of a...

We introduce the technique of lattice querying which automatically forms the query from the set of text samples provided by a user, and produce search results by matching parse trees of this query with that of candidate answers. Lattice queries allow increase in big data exploration efficiency since they form multiple “hypotheses” concerning user intent and explore data from multiple respective...

Abstract — With the growing complexity of online information, the search results in keyword based search engines are growing increasingly vague and cumbersome. Less efforts on behalf of the search engines result in more painstaking effort for the user to find the best pages. This paper describes a framework where the disadvantages of keyword based search engines are removed by presenting to the...

This document contains research in the field of Search Engine Marketing, to be specific it is focused on finding, implementing and evaluating a technique that can be used for keyword suggestion. Based on a set of words describing the subject, a algorithm finds and ranks keyword suggestions that can be used to advertise with. The main goal is to find keywords that are non-obvious, which means th...