Difference between revisions of "An Application of Topic Map-Based Ontology Generated from Wikipedia for Query Expansion"
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| + | | title = An Application of Topic Map-Based Ontology Generated from Wikipedia for Query Expansion | ||
| + | | date = 2013 | ||
| + | | authors = [[S. Eslami]]<br />[[E. Nazemi]] | ||
| + | | doi = 10.7763/IJMLC.2013.V3.337 | ||
| + | | link = http://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=39&id=368 | ||
| + | }} | ||
'''An Application of Topic Map-Based Ontology Generated from Wikipedia for Query Expansion''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[S. Eslami]] and [[E. Nazemi]]. | '''An Application of Topic Map-Based Ontology Generated from Wikipedia for Query Expansion''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[S. Eslami]] and [[E. Nazemi]]. | ||
== Overview == | == Overview == | ||
Abstract—Topic maps are a Semantic Web technology for semantic annotation of resources to enhance the quality of search output. The main idea of this research is to present a query expansion method using topic maps-based [[ontology]] for query expansion process, furthermore this paper proposed a novel automatic approach to construct topic maps from [[Wikipedia]] XML corpus. Wikipedia is general purpose, freely available online, is containing up to date information so it is a suitable option for topic map development. The proposed model is implemented and then applied on a test collection. The results show that using topic map-based ontology in query expansion process improves search accuracy in keyword-based [[information retrieval]]. | Abstract—Topic maps are a Semantic Web technology for semantic annotation of resources to enhance the quality of search output. The main idea of this research is to present a query expansion method using topic maps-based [[ontology]] for query expansion process, furthermore this paper proposed a novel automatic approach to construct topic maps from [[Wikipedia]] XML corpus. Wikipedia is general purpose, freely available online, is containing up to date information so it is a suitable option for topic map development. The proposed model is implemented and then applied on a test collection. The results show that using topic map-based ontology in query expansion process improves search accuracy in keyword-based [[information retrieval]]. | ||
Revision as of 19:44, 10 July 2019
Authors | S. Eslami E. Nazemi |
|---|---|
Publication date | 2013 |
DOI | 10.7763/IJMLC.2013.V3.337 |
Links | Original |
An Application of Topic Map-Based Ontology Generated from Wikipedia for Query Expansion - scientific work related to Wikipedia quality published in 2013, written by S. Eslami and E. Nazemi.
Overview
Abstract—Topic maps are a Semantic Web technology for semantic annotation of resources to enhance the quality of search output. The main idea of this research is to present a query expansion method using topic maps-based ontology for query expansion process, furthermore this paper proposed a novel automatic approach to construct topic maps from Wikipedia XML corpus. Wikipedia is general purpose, freely available online, is containing up to date information so it is a suitable option for topic map development. The proposed model is implemented and then applied on a test collection. The results show that using topic map-based ontology in query expansion process improves search accuracy in keyword-based information retrieval.
