Knowledge Based Search In Wikipedia

Published Date: 02 Nov 2017

The phenomenal growth of information on the web over the last couple of decades leads the way of Wikipedia. Wikipedia is a free internet based Encyclopedia consists and manages the information in the form of articles. In order, to improve the performance of article retrieval while searching in Wikipedia and rather depend on the title of articles, we propose a new algorithm to retrieve relevant and accurate information from resources. Dependency on title of articles makes the informational resources limited and cannot be more efficient. As per the experience shared on internet through various resources and online survey, sometimes information is not relevant on Wikipedia which leads the way of a new algorithm which can be more relevant and accurate. Addressing challenges is the objective of this paper is, to make searching algorithm technique used by Wikipedia more efficient and not limited up to classical approach. Idea behind the concept of Knowledge based search in Wikipedia, to make search in Wikipedia for effective results and optimum solutions with a Service Oriented Architecture. Knowledge based searching propose a way more suitable from Title based searching of Wikipedia (classical approach). In knowledge based searching concept defines a way for process or match user’s query with in the titles name and the content under articles for efficient results. The aim of this project is to utilize the information resources in proper way for best results. This project will helps to provide an alternate or better solution for searching information in Wikipedia.

Keywords: Knowledge Based Searching, Classical Searching Algorithm, SOA, Informational Architecture, Semantic Data.

Introduction

Wikipedia is a free internet based Encyclopedia, support multiple languages and works in an open environment. Wikipedia is the best way to get the information about a particular topic of any field. Wikipedia is an open source of information which is supported by Wikimedia. Wikimedia is a non-profit foundation, provides the relevant information in the form of articles. Wikipedia’s article are written and managed by the volunteers around the world. Articles can be managed and edited by anyone which is registered access to the site. It has become the largest and most prominent general reference work on the Internet. Wikipedia manage information in the form of pages and pages consist of articles. Articles contain information about topics and can be concerned with any subject. Articles are connect or interlinked together to provide related information. Knowledge based searching, the propose concept can be fit as a role of an alternate way in order to search in Wikipedia. The Wikipedia search is restricted up to the Title Based Searching. Title based Search Characterize, it match or compare the user’s search query only with Articles title name, if it matched than it will display the results. Addressing the problem in Title based searching algorithm is it skips the content and priority is determined only for Title, sometime outcome is not so appropriate and cannot utilize the proper informational resources. So deploy Knowledge based searching algorithm can be more relevant to search in Wikipedia.

Proposed Algorithm

The propose method will helps us to utilize the proper informational resources by not define its limits up to search not only within the title name but also in content or information under articles with utilization of the current technology. Wikipedia is an internet based encyclopedia can be accessed from anywhere all over the world on any platform. The Proposed searching algorithm matches the user’s query with the content of articles as well as with title. The Knowledge Base search searches the subject of all Knowledge Base documents, and returns the documents containing all users search words. The search results page presents user with a list of documents that contain users search terms without replication. This search will skip the one word’s query for example ‘A’, ‘v’ etc. For the English articles (‘a’, ’an’, ’the’) it will search only with the title in the Wikipedia article. Knowledge based searching algorithm depend on both title and content. Addressing challenges with this searching is it should be fast enough to work with a huge dataset. Working environment for this algorithm is very important because maintaining and process query repeatedly on very large data and follow the time and accuracy constraint is very critical. The architecture provides service for application to user and enterprises and manages all the informational resources. Architecture explains the way of provide this services in perspective to enterprises and user’s view. Knowledge based searching algorithm, is a very good idea to change the way of searching the information with title and content of articles which provides a relevant results.

SOA perspective with Knowledge Based Algorithm

The Service oriented architecture is a service offer the way of defining and designing the applications as a discrete unit for business and enterprises. Wikipedia works in an edited environment it’s registered user can modify the valuable information. High level functions, data is provides as services, information exchanged in process, conversion of information from one format or semantics to another are the main part of SOA services. SOA services consider the functional aspects. Service contract can broadly specifies interactions between the service consumer and service provider contains Service

Service interface

Interface documents

Service policies

Quality of services (QoS)

Performance

This entire service life cycle is managed - from designing, to deployment, to enhancements, to maintenance. The service interface defines the service operations related to parameters that are passed into and out of the operation.

Informational Architecture

Informational architecture can be described into three layers: Physical data (sources), domain (service) data, and semantic data. Physical data stored on the disk, have details of how it is stored and described in database schema. Schema is optimized for the performance characteristics and requirement of the particular dataset. Domain data is the data used in the service implementation. It describes all of the information that is used in the implementation of a service. It represents the knowledge of data. Semantic data describe the information that must be shared between services. Various service interface exchange the semantic data.

Conclusion and Future work

This paper has introduced a new type knowledge based searching which basically related to Wikipedia database. Wikipedia provide domain independent knowledge based searching .This paper focus on content of the articles. We applied it with various types of contents, document-collections and various queries to optimize the searching. This searching gives user to a knowledge based query related result in easy, effective and efficient way. The basic conclusion of this searching is to provide a powerful searching way which is related to topics that you may not have thought of….