الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
In this thesis, we showed a technique that can successfully retrieve the relevant
biological documents and tackles the extracting of semantic relationships from
biological documents. The system also constructs a term - relation table that
accelerates the relation extracting part. The proposed method offers another
usage of the system so the researchers can use it to figure out the relationship
between two biological terms through the available information in the biological
documents. The measures the values of accuracy of system documents retrieved.
The method improves semantic performance of the system since it retrieves the
relationship between the input words. Term- relation table improves the
extracting part since it becomes a reference to all the relationships exist between
the biological terms found in the corpus. The proposed method helps the
researchers to get more information about the input words by extracting the all
relationships between these terms from the biological documents.
Future Work
The proposed system is domain-specific which can be generalized to be applied
in many different domains. The proposed system should be speed up using
indexing and hashing of the corpus documents to fast reterival process of
documents. The proposed system is evalauted using different metrics which are
limited for information reterival and didn’t include aspects of parllization and
distributed enviornments. The proposed system is intended to be available in
cloud computing as a service on demand.