Abstract
There is a boom in research works in the arena of devising new methodologies for indexing and accessing hidden web data available in databases. To exploit this hidden web data, users need to fill various search forms available on World Wide Web with appropriate values. For a common user with non technical background, this is quite difficult to find suitable values. Ontology provides a way to find these values. Ontology is useful in constructing, a semantic database that provides values for various fields of search form interfaces. Ontology based data extraction is efficient in dealing with large amount of information available on the World Wide Web. This information may be available in different formats such as Hypertext Mark UP Language, HTML, Web Ontology Language, OWL, Recognition Form Designer, RDF and Extensible Markup Language, XML files. This paper creates an ontology database which provides us relevant information about book domain. It presents relevant data before the user rather than giving vague and irrelevant results as traditional databases generate.
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Goyal, M., Rani, G. (2018). Impact of Ontology on Databases. In: Panda, B., Sharma, S., Roy, N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_5
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DOI: https://doi.org/10.1007/978-981-10-8527-7_5
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