1. A citation context sensitive search method for accessing to related documents by chosen keywords, the method comprising: extracting citation context of each document, that cites at least one document, in a database containing documents, the citation context is determined as a text in a window of predetermined size around a citation marker in a citing document, wherein the citation context is determined as a text around the citation marker inside the window; identifying meaningful keywords from the citation context of the citing document for each cited document; forming a citation network, wherein the citing document and the cited documents form nodes of the citation network, a first node corresponding to the citing document is connected to all the nodes corresponding to the cited documents forming edges of the citation network, wherein each edge of the citation network is labelled with an inferred keyword, the inferred keyword is an identified meaningful keyword from the citation context of the citing document corresponding to the cited document forming the edge; constructing a table T comprising sets of the citing document, the cited document, and the inferred keywords in the citation, receiving keywords to initiate a search, identifying citing and cited documents by searching the keywords in the table T, forming a related document pool by adding the citing and the cited documents identified in the table T and related citation networks for the inferred keywords corresponding to the keywords, ranking the documents of the related document pool by using a graph based ranking algorithm running on the union of the related citation networks.
1. A citation context sensitive search method for accessing to related documents by chosen keywords, the method comprising: extracting citation context of each document, that cites at least one document, in a database containing documents, the citation context is determined as a text in a window of predetermined size around a citation marker in a citing document, wherein the citation context is determined as a text around the citation marker inside the window; identifying meaningful keywords from the citation context of the citing document for each cited document; forming a citation network, wherein the citing document and the cited documents form nodes of the citation network, a first node corresponding to the citing document is connected to all the nodes corresponding to the cited documents forming edges of the citation network, wherein each edge of the citation network is labelled with an inferred keyword, the inferred keyword is an identified meaningful keyword from the citation context of the citing document corresponding to the cited document forming the edge; constructing a table T comprising sets of the citing document, the cited document, and the inferred keywords in the citation, receiving keywords to initiate a search, identifying citing and cited documents by searching the keywords in the table T, forming a related document pool by adding the citing and the cited documents identified in the table T and related citation networks for the inferred keywords corresponding to the keywords, ranking the documents of the related document pool by using a graph based ranking algorithm running on the union of the related citation networks. 2. The method of claim 1 , wherein in the step of “identifying meaningful keywords from the citation context of each document”, every term in the citation context is the inferred keyword.