Abstract
It is becoming increasingly popular to publish data on the web in the form of documents. Segment-search is a semantic search engine for web documents. It presents a query language. It is suitable for skilled and semi-skilled domain experts, who are adept at the use of a specific collection of documents. It returns suitable documents selected by using document fragments, that satisfy user’s query. In contrast to knowledge graph approach, the technique is based on performing web page segmentation as per user perceived objects. Thus, it allows users’ to query without the knowledge of complex query languages or learning about the data organization schemes. The proposed system is scalable and can cater to large scale web document sources.
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