Efficient Approach of Patent Search
Paradigm

Final year Project Abstract
by – Prateek Kumar
1031010186
SRM University
ABSTRACT
 For Intellectual property protection, patents play an important role.
 Patent search is used for finding exist...
EXISTING SYSTEM
 Existing methods focus on devising a complicated ranking
model to rank patents and finding the most rele...
DRAWBACK IN EXISTING SYSTEM
No error correction
Complicated ranking model
Neglected search efficiency
No query expansi...
EXISTING TECHNIQUE
Ranking model - leads to produce irrelevant
patents at the result of patent search.
PROPOSED SYSTEM
 This project can help users find relevant patents more
easily and improve user search experience.
 To o...
ADVANTAGES IN PROPOSED
SYSTEM
Keyword error correction
Partition based patent search
High search efficiency
Query sugg...
PROPOSED TECHNIQUE
Error correction
Topic-based query suggestion
Query expansion
SYSTEM REQUIREMENTS
HARDWARE
PROCESSOR:
RAM:
MONITOR:
HARD DISK:

PENTIUM IV
2.6 GHz, Intel Core 2 Duo.
512 MB DD RAM
15” ...
SOFTWARE
FRONT END:
BACK END:
OPERATING
SYSTEM:
IDE:

JSP Servlets
MS SQL 05
Windows 07
Net Beans, Eclipse
FUTURE ENHANCEMENT
 In future, our proposed patent search paradigm will connect
large number of database.
 Increase the ...
THANK YOU

- Prateek Kumar
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Efficient approach of patent search paradigm (abstract)

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Efficient approach of patent search paradigm (abstract)

  1. 1. Efficient Approach of Patent Search Paradigm Final year Project Abstract by – Prateek Kumar 1031010186 SRM University
  2. 2. ABSTRACT  For Intellectual property protection, patents play an important role.  Patent search is used for finding existing relevant patents and validating a new patent application.  Many users have limited knowledge about the underlying patents, and they have to use a try-and-see approach to repeatedly issue different queries and check answers.  To overcome this problem our proposed system introduces a new userfriendly approach for patent search .  Proposed system uses three efficient techniques to improve the usability of patent search: error correction, Topic-based query suggestion and query expansion.  First partition the patents into small partitions based to their topics and classes. Then find highly relevant partitions and answer the query in highly relevant partitions. Finally combine the answers of each partition and generate top answers of the patent-search query.
  3. 3. EXISTING SYSTEM  Existing methods focus on devising a complicated ranking model to rank patents and finding the most relevant answers.  Do not pay enough attention to effectively capturing users search intention, which is at least as important as ranking patents.  If users query keywords may have typing error, existing methods will return no answer as they cannot find patents matching query keywords.  Existing method neglect the fact that the search efficiency.
  4. 4. DRAWBACK IN EXISTING SYSTEM No error correction Complicated ranking model Neglected search efficiency No query expansion
  5. 5. EXISTING TECHNIQUE Ranking model - leads to produce irrelevant patents at the result of patent search.
  6. 6. PROPOSED SYSTEM  This project can help users find relevant patents more easily and improve user search experience.  To overcome the typing error problem in existing system our project introduces the error correction technique.  For improving efficiency partition the patents into small partitions based to their topics and classes. Then given a query and find highly relevant partitions and answer the query in each of such highly relevant partitions.  Finally combine the answers of each partition and generate top answers of the patent-search query.
  7. 7. ADVANTAGES IN PROPOSED SYSTEM Keyword error correction Partition based patent search High search efficiency Query suggestion and expansion
  8. 8. PROPOSED TECHNIQUE Error correction Topic-based query suggestion Query expansion
  9. 9. SYSTEM REQUIREMENTS HARDWARE PROCESSOR: RAM: MONITOR: HARD DISK: PENTIUM IV 2.6 GHz, Intel Core 2 Duo. 512 MB DD RAM 15” COLOR 40 GB
  10. 10. SOFTWARE FRONT END: BACK END: OPERATING SYSTEM: IDE: JSP Servlets MS SQL 05 Windows 07 Net Beans, Eclipse
  11. 11. FUTURE ENHANCEMENT  In future, our proposed patent search paradigm will connect large number of database.  Increase the efficiency and search ability of patents with user friendly approach.
  12. 12. THANK YOU - Prateek Kumar

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