• Pooja Ravindra Ghuge
• Prof. Mohan Nikam

Abstract—Graph mining is required in variety of applications in real world data processing. It is implemented in social network, scientific graph database, bibliography analysis,etc. Most of the studies requires temporal results over graph data. In the literature keyword based search is proposed but it is inefficient to answer keyword queries. The proposed system works on querying the graph based on temporal information. Query contains keyword search as well as the temporal search. To fire a query, a user friendly automatic query generator panel is proposed. User can selects the required parameter to fire a query on temporal graph. Temporal nodes are used to support temporal queries. To travel the graph best path iterator is used with a ranking criteria. Along with a temporal keyword queries, this work also proposes a collaborative aggregate functions to generate archived results against the temporal information.

graph, temporal graph, graph keyword search, temporal query, aggregate query

"Keyword Based Temporal Query Execution Over Graph", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.434-436, June-2019, Available :http://www.jetir.org/papers/JETIR1906065.pdf

"Keyword Based Temporal Query Execution Over Graph", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp434-436, June-2019, Available at : http://www.jetir.org/papers/JETIR1906065.pdf