Abstract
The World Wide Web is a repository of huge data that are the web pages. The web pages are acquired using a query given by the user. The web pages may sometimes be unstructured and unequal. The main objective of the study is information extraction and summarization using ontology. The system proposes a new method named as Structural Semantic Domain Ontology (SSDO) for effective information retrieval. The proposed system automatically extracts the unstructured information from the repository and stores it in the search buffer. The information extraction will be performed using domain ontology. The main disadvantage of the existing system is, the information which is extracted from various sources is not aligned properly. The system may fail to know, where the exact information is located on the website. The current proposal overcomes the above problem by adopting the technologies that are named as pair alignment, top-down alignment, and loop structure algorithms. The proposed system will acquire things such as if the user needs to know any data, then the user will type the detail known as a label. Then the web page will extract the information with a proper description and additional details.
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Deepa, R., Chezian, R.M. (2016). An Involuntary Data Extraction and Information Summarization Expending Ontology. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_6
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DOI: https://doi.org/10.1007/978-81-322-2656-7_6
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