A Wikipedia powered state-based approach to automatic search query enhancement

This paper describes the development and testing of a novel Automatic Search Query Enhancement (ASQE) algorithm, the Wikipedia N Sub-state Algorithm (WNSSA), which utilises Wikipedia as the sole data source for prior knowledge. This algorithm is built upon the concept of iterative states and sub-states, harnessing the power of Wikipedia\u27s data set and link information to identify and utilise reoccurring terms to aid term selection and weighting during enhancement. This algorithm is designed to prevent query drift by making callbacks to the user\u27s original search intent by persisting the original query between internal states with additional selected enhancement terms. The developed algorithm has shown to improve both short and long queries by providing a better understanding of the query and available data. The proposed algorithm was compared against five existing ASQE algorithms that utilise Wikipedia as the sole data source, showing an average Mean Average Precision (MAP) improvement of 0.273 over the tested existing ASQE algorithms

Wiki-MetaSemantik: A Wikipedia-derived Query Expansion Approach based on Network Properties

This paper discusses the use of Wikipedia for building semantic ontologies to do Query Expansion (QE) in order to improve the search results of search engines. In this technique, selecting related Wikipedia concepts becomes important. We propose the use of network properties (degree, closeness, and pageRank) to build an ontology graph of user query concepts which is derived directly from Wikipedia structures. The resulting expansion system is called Wiki-MetaSemantik. We tested this system against other online thesauruses and ontology based QE in both individual and meta-search engines setups. Despite that our system has to build a Wikipedia ontology graph in order to do its work, the technique turns out to work very fast (1:281) compared to another ontology QE baseline (Wikipedia Persian ontology QE). It has thus the potential to be utilized online. Furthermore, it shows significant improvement in accuracy. Wiki-MetaSemantik also shows better performance in a meta-search engine (MSE) set up rather than in an individual search engine set up

Visualizing networks defined by links in Wikipedia articles

A Wikipedia é um dos portais mais populares da internet, contendo mais de 40 milhões de artigos em qualquer uma das línguas em que está disponível. Os artigos da Wikipedia referenciam outros artigos por meio de hiperligações. As hiperligações traduzem a ligação e interdependência entre artigos. Neste contexto, este trabalho apresenta uma aplicação para a visualização de um grafo de conhecimento definido por hiperligações entre artigos da Wikipedia Inglesa, partindo de um artigo inicial. Dado que, em geral, o número de hiperligações dos artigos da Wikipedia é muito elevado, a aplicação baseia-se num critério natural de seleção em função da sua relevância. Os nodos do grafo obtido têm hiperligações para artigos da Wikipedia, o que proporciona um modo alternativo de navegar na Wikipedia por meio de um grafo.Wikipedia is one of the most popular websites over the Internet with more than 40 million articles in any of the languages in which it is available. Links in Wikipedia articles target related articles. Links translate connections and dependencies upon Wikipedia articles. In this context, this work presents an application to visualize a knowledge graph defined by links in English Wikipedia articles, starting from a base one. Since, in general, the number of links in Wikipedia articles is very large, the application uses a natural criterion for selecting links in terms of their relevance. Moreover, the graph nodes have hyperlinks to Wikipedia articles which gives an alternative way to browse Wikipedia.info:eu-repo/semantics/publishedVersio