Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System

Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical...

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Bibliographic Details
Published inTheScientificWorld Vol. 2015; no. 2015; pp. 1 - 9
Main Authors Uthayan, K. R., Anandha Mala, G. S.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2015
Hindawi Limited
Wiley
Subjects
Algorithms
Automation
Fuzzy logic
Information retrieval
Information storage
Information theory
Keywords
Mathematical research
Methods
Neural networks
Ontology
Relevance
Semantics
Studies
Web Ontology Language-OWL
Online AccessGet full text

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Summary:Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. Matching algorithms characterize warm area of researches in computer science and artificial intelligence. In text matching, it is more dependable to study semantics model and query for conditions of semantic matching. This research develops the semantic matching results between input queries and information in ontology field. The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field. The queries and information domain is focused on semantic matching, to discover the best match and to progress the executive process. In conclusion, the hybrid ontology in semantic web is sufficient to retrieve the documents when compared to standard ontology.
Bibliography:ObjectType-Article-1
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Academic Editor: Zheng Xu
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2015/414910