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The total information available on WWW (World Wide Web) is huge and is increasing at lightning speed. Existing web is dominated by Search Engines which are running on keyword based search system which in turn leads to wastage of end user's precious time if he do not know the key terms which are utilized to index
Nowadays people love travel to escape the grind of regular daily life, for the sake of convenience to web information sourced on internet with most search engines, the journey tours are easily found, but the feedbacks are compared with the keyword you entered, not truly responded to your intention, therefore, diverse
ontologies. We introduce CRSentence and Neighbor Tree for indexing ontological structures. In the retrieval module, we propose a simple keyword-based search grammar for structural search. Experiments based on Falcons dataset show that our approach is feasible and promising.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.