In this article, we use innovative full-text citation analysis along with supervised topic modeling and networkanalysis algorithms to enhance classical bibliometric analysis and publication/author/venue ranking. By utilizing citation contexts extracted from a large number of full-text publications, each citation or publication is represented by a probability distribution over a set of predefine...

Globalization is putting enormous pressure on the business organizations specially manufacturing one to rethink the supply chain in innovative manners. Inventory consumes major portion of total sale revenue. Effective and efficient inventory management plays a vital role for the successful functioning of any organization. Selection of inventory policy is one of the important purchasing activiti...

Web Services (WS) have become one the most used technologies nowadays in software systems. Among the challenges when integrating WS in a given system, requirementsdriven selection occupies a prominent place. A comprehensive selection process needs to check compliance of Non-Functional Requirements (NFR), which can be assessed by analysing WS Quality of Service (QoS). In this paper, we describe ...

Many valuable text databases on the web have noncrawlable contents that are “hidden” behind search interfaces. Metasearchers are helpful tools for searching over multiple such “hidden-web” text databases at once through a unified query interface. An important step in the metasearching process is database selection, or determining whch databases are the most relevant for a given user query. Our ...

Learning to rank is the problem of ranking objects by using machine learning techniques. One of the applications of learning to rank is for ranking document of search results. In this research, we compare the performance of three learning to rank algorithms: RankSVM, LambdaMART, and Additive Groves. RankSVM, which is ranking variant of the classical SVM algorithm, is commonly used as a baseline...

This document gives formatting guidelines for authors preparing papers for publication in the International Journal of Emerging Technology and Advanced Engineering The authors must follow the instructions given in the document for the papers to be published. Keywords—Keyword are your own designated keyword which can be used for easy location of the manuscript using any search engines. It includ...

Keyword-based linked data information retrieval is an easy choice for general-purpose users, but the implementation of such an approach is a challenge because mere keywords do not hold semantic information. Some studies have incorporated templates in an effort to bridge this gap, but most such approaches have proven ineffective because of inefficient template management. Because linked data can...

There has been lot of research in recent years for efficient web searching. Several papers have proposed algorithm for user feedback sessions, one such algorithm called “Classified Average Precision”, was introduced to evaluate the performance of inferring user search goals. When the information is retrieved, user clicks on a particular URL. Based on the click rate ranking will be done automati...

Stochastic, iterative search methods such as Evolutionary Algorithms (EAs) are proven to be efficient optimizers. However, they require evaluation of the candidate solutions which may be prohibitively expensive in many real world optimization problems. Use of approximate models or surrogates is being explored as a way to reduce the number of such evaluations. In this paper we investigated three...

The paper proposes a system for advanced sensor retrieval. Sensors provide a large volume of data about the environment. The abundance and variety of the sensor data has given rise to increased interest in the development of applications involving sensor networks. The large volumes of data produced by such sensor networks require special techniques not only for management and processing but als...