ÕªÒª·Ò룺
֪ʶ¹ÜÀíÊÇÆóÒµµÄÒ»¸öÈ«ÇòÐÔ¹ý³Ì¡£Ëü°üÀ¨Ê¹Æóҵ֪ʶ×ʱ¾×ʱ¾»¯¡¢¹²ÏíºÍÑݱäµÄËùÓйý³Ì£¬ÖªÊ¶×ʱ¾Í¨³£±»ÈÏΪÊÇ×éÖ¯µÄ¹Ø¼ü×ÊÔ´¡£ÒѾ¶¨ÒåÁ˼¸ÖÖ֪ʶ×ʱ¾»¯µÄ·½·¨£¬µ«ºÜÉÙÑо¿ÈçºÎ´ÓÕâЩ֪ʶÖÐѧϰ¡£ÎÒÃÇÔÚÕâƪÂÛÎÄÖÐÌá³öÁËÒ»ÖÖ·½·¨£¬ËüÓÐÖúÓÚÔÚÒ»¸ö×éÖ¯ÖмÓÇ¿´Óרҵ֪ʶÖÐѧϰ¡£ÎÒÃǽ«ÎÒÃǵķ½·¨Ó¦ÓÃÓÚÕëÖ¯ÐÐÒµ¡£
---
Ó¢ÎıêÌ⣺
¡¶Learning from Profession Knowledge: Application on Knitting¡·
---
×÷Õߣº
Nada Matta (UTT), Oswaldo Castillo (UTT)
---
×îÐÂÌá½»Äê·Ý£º
2010
---
·ÖÀàÐÅÏ¢£º
Ò»¼¶·ÖÀࣺComputer Science ¼ÆËã»ú¿Æѧ
¶þ¼¶·ÖÀࣺArtificial Intelligence È˹¤ÖÇÄÜ
·ÖÀàÃèÊö£ºCovers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
º¸ÇÁËÈ˹¤ÖÇÄܵÄËùÓÐÁìÓò£¬³ýÁËÊÓ¾õ¡¢»úÆ÷ÈË¡¢»úÆ÷ѧϰ¡¢¶àÖÇÄÜÌåϵͳÒÔ¼°¼ÆËãºÍÓïÑÔ£¨×ÔÈ»ÓïÑÔ´¦Àí£©£¬ÕâЩÁìÓòÓжÀÁ¢µÄѧ¿ÆÁìÓò¡£ÌرðµØ£¬°üÀ¨×¨¼Òϵͳ£¬¶¨ÀíÖ¤Ã÷£¨¾¡¹ÜÕâ¿ÉÄÜÓë¼ÆËã»ú¿ÆѧÖеÄÂß¼Öصþ£©£¬ÖªÊ¶±íʾ£¬¹æ»®£¬ºÍÈ˹¤ÖÇÄÜÖеIJ»È·¶¨ÐÔ¡£´óÖ°üÀ¨ACMѧ¿ÆÀàI.2.0¡¢I.2.1¡¢I.2.3¡¢I.2.4¡¢I.2.8ºÍI.2.11ÖеIJÄÁÏ¡£
--
---
Ó¢ÎÄÕªÒª£º
Knowledge Management is a global process in companies. It includes all the processes that allow capitalization, sharing and evolution of the Knowledge Capital of the firm, generally recognized as a critical resource of the organization. Several approaches have been defined to capitalize knowledge but few of them study how to learn from this knowledge. We present in this paper an approach that helps to enhance learning from profession knowledge in an organisation. We apply our approach on knitting industry.
---
PDFÁ´½Ó£º
https://arxiv.org/pdf/1008.4257