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A Patent Landscape of Distribution Service Innovation(IAMOT2010)

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Hajime Sasaki
Hajime Sasaki

The document summarizes a study analyzing patent data related to distribution services. Key findings include: 1) Over 8,000 patents were extracted from various databases using keywords related to logistics, supply chains, and value chains. 2) The majority of patents came from US inventors and filing has been increasing linearly over time, especially from the US, EU, JP, and KR. 3) Top technologies based on analysis of titles and abstracts include computing, data processing, networks, and supply chain management. 4) Time series analysis of top terms from 2003-2006 show a shift from coded data and processes to an increased focus on devices, logistics, and identification technologies.

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IAMOT2010 Conference at Cairo, Egypt A Patent Landscape of Distribution Service Innovation *Hajime SASAKI Ichiro SAKATA Japan, The University of Tokyo, Todai Policy Alternatives Research Institute
Introduction Background£º ?Service industries are growing up. ?Governments of major countries have been taking measures to promote service engineering to support those industries. Service industries are ?less advanced in the establishment of definitions ?classification methods in comparison to manufacturing industries. ex) At the present day, IPC(international Patent Classification) which can identify service industries is not exist. Patent analysis is often employed as a methodology of trend survey of technology field. Then It is currently hard to learn how innovations are in service technologies from definition and classification of patent information system.
Purpose and Focus We assume that it is impossible that identifying ? a main technological fields by Extracting words that frequently appear in dataset ?a recent technological trend by Extracting time-trend of these words. Purpose: Try to extract ? main technological fields and ? recent technological trends of service industry using the method of natural language processing analysis(TF/IDF) of patent gazette. One of most major fields in Service industries ¡°Distribution Service¡±
Definition and Database Definition: Patents include words ¡°logistic¡±, ¡°supply chain¡± or ¡°value chain¡± In ¡°title of the invention¡± or ¡°abstract¡± as patent gazette related with ¡°distribution service¡± in service industries. Query £º ¡°logistic*¡± OR ¡°supply chain*¡± OR ¡°value chain*¡± Database£ºWW patent gazette (17,905,611 records) (granted by 2009,8) USPTO (granted) CIPO (granted) EPO (granted) KIPO (granted and examined) JPO (granted) From isi thomson innovation ? Extracted a total of 8,223 patents
Top 10 inventor in dataset. 400 300 200 100 Silverbrook Resarch US ARMY US NAVY
Timeline Trends (8,223patents) 1500 1000 US 500 EU JP KR 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 DE ? linear increase ? The majority were submitted by US inventers each year
Top 10 IPC£¨International Patent Classification£© G06F: Digital computing or dataprocessing equipment G06Q: Methods or arrangements for processing data
word extraction by (TF/IDF) TfIdf= tf ? idf Term Frequency Inverse Document Frequency measure of the importance measure of the general of the term importance of the term ?frequent repeats of certain word in a patent gazettes increase the TF/IDF value ?frequent repeats of index word in many documents reduce the value.
TOP 50 words in Dataset (8,223patents) # w ord % # w ord % #1 P rocesses,P rocessi P rocess ng, 23.5 #26 P rogram 6.5 #5 #2 C oded D ata,D ata 21.9 #27 M oni ng,M oni tori tor 6.3 #5 #3 D evices,D evi ce 18.7 #28 S ecuri ty 6.3 #5 #4 R eceives,R ecei ver,R ecei ng vi 18.2 #29 D etected S cene,D etecti on 6.2 #5 #5 I nform ati on 17.6 #30 Extendi ng 6.1 #5 #6 S ource G enerates I nterrogation 13.9 #31 D atabase 5.7 #5 #7 C om m uni ons,C om m uni on cati cati 13.5 #32 M ounted,M ounti ng 5.7 #5 #8 C onnected,C onnecti on 13.1 #33 I nput 5.7 #5 #9 P roducts,P roducti P roduct on, 13.1 #34 O utput 5.6 #5 #10 S tored,S tore G06F: 12.8 #35 A ssem bl y 5.6 #6 #11 C om puter Digital computing or dataprocessingV ehi e 12.1 #36 V ehi es, cl cl 5.6 #6 #12 D eterm i ng,D equipment ni eterm ines,D eterm i ned 11.3 #37 A ttached 5.4 #6 #13 U ser 10.7 #38 I denti cati fi on 5.3 #6 #14 N etw ork 10.1 #39 Electri l El caly, ectri ,El cal ectri c 5.3 #6 #15 M anagem ent G06Q: 10.0 #40 I cati D ata,I cati ndi ng ndi ve 5.2 #6 #16 M ethods Methods or arrangements forOprocessing 9.6 #41 bj ect 5.2 #6 #17 M ateri s,B ilM ateri s,M ateri al l dataal al 9.5 #42 P ow er 5.1 #6 #18 I nterrogati S i ,S i on gnal gnal 9.2 #43 S erver 5.1 #6 #19 S urface 8.5 #44 D i ay spl 5.0 #6 #20 I denti ng,I fyi denti erfi 7.9 #45 Tracki ng 4.9 #7 #21 Electroni c 7.8 #46 S uppl C hai C hai y n, n 4.8 #7 #22 A ccess 7.5 #47 C i t rcui 4.8 #7 #23 Transm i ng tti 7.4 #48 A pplcati R equest,R equest i on 4.7 #7 #24 S ervice 6.9 #49 S ensor 4.6 #7 #25 I nterface S urface,I nterface 6.7 #50 W ater 4.5 #7
Time series analysis 2003~2006 Top25 Äê¶È£¨¼þ Äê¶È£¨¼þ Äê¶È£¨¼þ Äê¶È£¨¼þ Êý£© Êý£© Êý£© Êý£© 2003 (772) % 2004(710) % 2005(654) % 2006(500) % Coded Data 25 Coded Data 28 Devices 26 Devices 26 Processes 20 Devices 25 Recieves 23 Coded Data 24 Devices 20 Receives 23 Coded Date 23 Recieves 24 Information 18 Information 22 Information 20 Processes 23 Recieves 17 Processes 22 Processes 19 Information 22 Computer 14 Products 17 Communication 16 Source Generate 18 Communication 14 Source Generate 16 Determining 16 Rfid 17 Methods 14 Determining 15 Computer 16 Tag 17 Management 13 Computer 14 Stored 14 Interrogation 16 Stored 13 Communication 13 Connected 12 Communication 16 Products 13 Stored 13 Products 12 Stored 15 Source Generate 13 Methods 12 Methods 12 Identification 14 User 12 User 11 Interrogation 11 Connected 14 Network 12 Identifying 11 Tag 11 Frequency 13 Connected 12 Management 11 Sorce Generate 11 Determining 13 Dtermining 12 Connected 10 Rfid 11 Products 13 Identifying 9 Network 9 Identifying 10 Radio 13 Interrogation 8 Monitoring 9 Network 10 Management 12 Program 8 Surface 9 User 10 Method 11 Service 8 Intterogation 9 Management 10 Transmitting 10 Detected Scen 8 Interface 9 Program 10 Output 10 Access 7 Identification 9 Identification 10 User 10 Securyty 7 Sensor 8 Montoring 9 Materials 10 Monitoring 7 Indicating Data 8 Transmitting 9 Network 10 They appear Transmitting for the 7 1 st time during the Electronic year7 Electronic 8 Antenna 9
RFID£¨ Radio-Frequency IDentification£© (typically referred to as ?is the use of an object an RFID tag) applied to or incorporated into a product for the purpose of identification and tracking using radio waves. Recently used in Payment by mobile phones Transportation payments ?First Technology related with RFID was invented in 1950s. It was for administration or management of firming animal in europe. Then RFID is relatively old technology. ¡úBut, growing up in words.
Time trend analysis (query:¡±RFID¡±) 11,672 patents 4000 3000 US 2000 EU 1000 JP KR DE 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 ? Truly. increase exponentially ? Made an interviews to RFID specialist¡­
Time trend analysis (query:¡±RFID¡±) 4000 Nov. ¡¯03 EPC global was founded 3000 US 2000 EU 1000 JP KR DE 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 Existing technology £« social action? Innovation Cooperation stimulates Competition
Conclusion ? confirmed the trends with applications for approval of these patents, identifying the corresponding categories of technology in the IPC. ? confirmed a rapid growth in RFID, which has been attracting attention of many recently from a timeline analysis. then It was usable for distribution service fields that using the method of NLP analysis based on patent database in order to extract main technological fields and recent technological trends. ? one of the reason of rapid growth in RFID is assumed founded of EPC global. Then Technological standardization in WW will be one of a key factor in also other field of service industries.
Thank you very much for your attention.
Policy Proposal ? the improvement of research infrastructure for service industries ? a system / definition which promotes service innovations based on international relationships ? a proper consideration of establishment and renewal for technological standards that promote re- development in service industries.

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A Patent Landscape of Distribution Service Innovation(IAMOT2010)

  • 1. IAMOT2010 Conference at Cairo, Egypt A Patent Landscape of Distribution Service Innovation *Hajime SASAKI Ichiro SAKATA Japan, The University of Tokyo, Todai Policy Alternatives Research Institute
  • 2. Introduction Background£º ?Service industries are growing up. ?Governments of major countries have been taking measures to promote service engineering to support those industries. Service industries are ?less advanced in the establishment of definitions ?classification methods in comparison to manufacturing industries. ex) At the present day, IPC(international Patent Classification) which can identify service industries is not exist. Patent analysis is often employed as a methodology of trend survey of technology field. Then It is currently hard to learn how innovations are in service technologies from definition and classification of patent information system.
  • 3. Purpose and Focus We assume that it is impossible that identifying ? a main technological fields by Extracting words that frequently appear in dataset ?a recent technological trend by Extracting time-trend of these words. Purpose: Try to extract ? main technological fields and ? recent technological trends of service industry using the method of natural language processing analysis(TF/IDF) of patent gazette. One of most major fields in Service industries ¡°Distribution Service¡±
  • 4. Definition and Database Definition: Patents include words ¡°logistic¡±, ¡°supply chain¡± or ¡°value chain¡± In ¡°title of the invention¡± or ¡°abstract¡± as patent gazette related with ¡°distribution service¡± in service industries. Query £º ¡°logistic*¡± OR ¡°supply chain*¡± OR ¡°value chain*¡± Database£ºWW patent gazette (17,905,611 records) (granted by 2009,8) USPTO (granted) CIPO (granted) EPO (granted) KIPO (granted and examined) JPO (granted) From isi thomson innovation ? Extracted a total of 8,223 patents
  • 5. Top 10 inventor in dataset. 400 300 200 100 Silverbrook Resarch US ARMY US NAVY
  • 6. Timeline Trends (8,223patents) 1500 1000 US 500 EU JP KR 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 DE ? linear increase ? The majority were submitted by US inventers each year
  • 7. Top 10 IPC£¨International Patent Classification£© G06F: Digital computing or dataprocessing equipment G06Q: Methods or arrangements for processing data
  • 8. word extraction by (TF/IDF) TfIdf= tf ? idf Term Frequency Inverse Document Frequency measure of the importance measure of the general of the term importance of the term ?frequent repeats of certain word in a patent gazettes increase the TF/IDF value ?frequent repeats of index word in many documents reduce the value.
  • 9. TOP 50 words in Dataset (8,223patents) # w ord % # w ord % #1 P rocesses,P rocessi P rocess ng, 23.5 #26 P rogram 6.5 #5 #2 C oded D ata,D ata 21.9 #27 M oni ng,M oni tori tor 6.3 #5 #3 D evices,D evi ce 18.7 #28 S ecuri ty 6.3 #5 #4 R eceives,R ecei ver,R ecei ng vi 18.2 #29 D etected S cene,D etecti on 6.2 #5 #5 I nform ati on 17.6 #30 Extendi ng 6.1 #5 #6 S ource G enerates I nterrogation 13.9 #31 D atabase 5.7 #5 #7 C om m uni ons,C om m uni on cati cati 13.5 #32 M ounted,M ounti ng 5.7 #5 #8 C onnected,C onnecti on 13.1 #33 I nput 5.7 #5 #9 P roducts,P roducti P roduct on, 13.1 #34 O utput 5.6 #5 #10 S tored,S tore G06F: 12.8 #35 A ssem bl y 5.6 #6 #11 C om puter Digital computing or dataprocessingV ehi e 12.1 #36 V ehi es, cl cl 5.6 #6 #12 D eterm i ng,D equipment ni eterm ines,D eterm i ned 11.3 #37 A ttached 5.4 #6 #13 U ser 10.7 #38 I denti cati fi on 5.3 #6 #14 N etw ork 10.1 #39 Electri l El caly, ectri ,El cal ectri c 5.3 #6 #15 M anagem ent G06Q: 10.0 #40 I cati D ata,I cati ndi ng ndi ve 5.2 #6 #16 M ethods Methods or arrangements forOprocessing 9.6 #41 bj ect 5.2 #6 #17 M ateri s,B ilM ateri s,M ateri al l dataal al 9.5 #42 P ow er 5.1 #6 #18 I nterrogati S i ,S i on gnal gnal 9.2 #43 S erver 5.1 #6 #19 S urface 8.5 #44 D i ay spl 5.0 #6 #20 I denti ng,I fyi denti erfi 7.9 #45 Tracki ng 4.9 #7 #21 Electroni c 7.8 #46 S uppl C hai C hai y n, n 4.8 #7 #22 A ccess 7.5 #47 C i t rcui 4.8 #7 #23 Transm i ng tti 7.4 #48 A pplcati R equest,R equest i on 4.7 #7 #24 S ervice 6.9 #49 S ensor 4.6 #7 #25 I nterface S urface,I nterface 6.7 #50 W ater 4.5 #7
  • 10. Time series analysis 2003~2006 Top25 Äê¶È£¨¼þ Äê¶È£¨¼þ Äê¶È£¨¼þ Äê¶È£¨¼þ Êý£© Êý£© Êý£© Êý£© 2003 (772) % 2004(710) % 2005(654) % 2006(500) % Coded Data 25 Coded Data 28 Devices 26 Devices 26 Processes 20 Devices 25 Recieves 23 Coded Data 24 Devices 20 Receives 23 Coded Date 23 Recieves 24 Information 18 Information 22 Information 20 Processes 23 Recieves 17 Processes 22 Processes 19 Information 22 Computer 14 Products 17 Communication 16 Source Generate 18 Communication 14 Source Generate 16 Determining 16 Rfid 17 Methods 14 Determining 15 Computer 16 Tag 17 Management 13 Computer 14 Stored 14 Interrogation 16 Stored 13 Communication 13 Connected 12 Communication 16 Products 13 Stored 13 Products 12 Stored 15 Source Generate 13 Methods 12 Methods 12 Identification 14 User 12 User 11 Interrogation 11 Connected 14 Network 12 Identifying 11 Tag 11 Frequency 13 Connected 12 Management 11 Sorce Generate 11 Determining 13 Dtermining 12 Connected 10 Rfid 11 Products 13 Identifying 9 Network 9 Identifying 10 Radio 13 Interrogation 8 Monitoring 9 Network 10 Management 12 Program 8 Surface 9 User 10 Method 11 Service 8 Intterogation 9 Management 10 Transmitting 10 Detected Scen 8 Interface 9 Program 10 Output 10 Access 7 Identification 9 Identification 10 User 10 Securyty 7 Sensor 8 Montoring 9 Materials 10 Monitoring 7 Indicating Data 8 Transmitting 9 Network 10 They appear Transmitting for the 7 1 st time during the Electronic year7 Electronic 8 Antenna 9
  • 11. RFID£¨ Radio-Frequency IDentification£© (typically referred to as ?is the use of an object an RFID tag) applied to or incorporated into a product for the purpose of identification and tracking using radio waves. Recently used in Payment by mobile phones Transportation payments ?First Technology related with RFID was invented in 1950s. It was for administration or management of firming animal in europe. Then RFID is relatively old technology. ¡úBut, growing up in words.
  • 12. Time trend analysis (query:¡±RFID¡±) 11,672 patents 4000 3000 US 2000 EU 1000 JP KR DE 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 ? Truly. increase exponentially ? Made an interviews to RFID specialist¡­
  • 13. Time trend analysis (query:¡±RFID¡±) 4000 Nov. ¡¯03 EPC global was founded 3000 US 2000 EU 1000 JP KR DE 1994 1995 1996 1997 1998 1999 2001 2002 2003 2004 2005 2006 2007 2008 2009 Existing technology £« social action? Innovation Cooperation stimulates Competition
  • 14. Conclusion ? confirmed the trends with applications for approval of these patents, identifying the corresponding categories of technology in the IPC. ? confirmed a rapid growth in RFID, which has been attracting attention of many recently from a timeline analysis. then It was usable for distribution service fields that using the method of NLP analysis based on patent database in order to extract main technological fields and recent technological trends. ? one of the reason of rapid growth in RFID is assumed founded of EPC global. Then Technological standardization in WW will be one of a key factor in also other field of service industries.
  • 15. Thank you very much for your attention.
  • 16. Policy Proposal ? the improvement of research infrastructure for service industries ? a system / definition which promotes service innovations based on international relationships ? a proper consideration of establishment and renewal for technological standards that promote re- development in service industries.