Managing search engine optimisation experience using the INRECA methodology

Aul, Vani and Roth-Berghofer, Thomas (2016) Managing search engine optimisation experience using the INRECA methodology. In: 21st UK Workshop on Case-Based Reasoning (UKCBR 2016), 13 Dec 2016, Cambridge, UK.

[img]
Preview
PDF
UKCBR_2016_paper_edited_final_submitted.pdf - Accepted Version

Download (257kB) | Preview

Abstract

This paper describes the reuse of Search Engine Optimisation (SEO) experience. The SEO domain is characterised by more than 200 factors leading to an obscurity of important factors. Such complex domains require experience-knowledge to enable the novice users adopt the domain. The Case Based Reasoning (CBR) approach is well suited to train new users in using this relatively new SEO technique to improve the visibility of their websites. Based on the principle of similarity, CBR enables the solution of similar recurring SEO problems for optimising websites for search engines. New users can effectively rely on SEO experience knowledge to solve new problems. Moreover, SEO techniques follow a similar procedure of implementation. Such procedural knowledge can be generalised and stored for future reference. For this purpose an experience base has been created to store SEO experience knowledge based on the principle of INRECA methodology. The experience is described using software process models. Until now the INRECA experience base has stored CBR system building experience. This research has extended the INRECA methodology for storing and retrieving SEO experience, taking into account the dynamic nature of the domain of SEO. An experiment illustrates the approach.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing > Intelligent systems
Computing > Knowledge management
Depositing User: Vani Aul
Date Deposited: 07 Jan 2017 17:11
Last Modified: 02 Aug 2017 08:47
URI: http://repository.uwl.ac.uk/id/eprint/3020

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item

Menu