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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö B : ¼ÒÇÁÆ®¿þ¾î ¹× ÀÀ¿ë

Á¤º¸°úÇÐȸ ³í¹®Áö B : ¼ÒÇÁÆ®¿þ¾î ¹× ÀÀ¿ë

Current Result Document : 4 / 16 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) °³ÀÎÈ­ µÈ À¥ ³×ºñ°ÔÀ̼ÇÀ» À§ÇÑ ¿ÂÅç·ÎÁö ±â¹Ý Ãßõ ¿¡ÀÌÀüÆ®
¿µ¹®Á¦¸ñ(English Title) An Ontology-based Recommendation Agent for Personalized Web Navigation
ÀúÀÚ(Author) Á¤Çö¼·   ¾çÀ翵   ÃÖÁ߹Π 
¿ø¹®¼ö·Ïó(Citation) VOL 30 NO. 01 PP. 0040 ~ 0050 (2003. 02)
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(Korean Abstract)
¿ÂÅç·ÎÁö(ontology)¶õ °´Ã¼(object)µé°ú À̵頻çÀÌÀÇ °ü°èÀÇ Á¤ÀÇ¿¡ ÀÇÇÏ¿© ¾î¶² »ç½ÇÀ̳ª »óŸ¦ Ç¥Çö´Â Áö½Ä Ç¥Çö ¹æ¹ýÀÌ´Ù. º» ³í¹®¿¡¼­´Â ¿ÂÅç·ÎÁö¸¦ ÀÌ¿ëÇÑ À¥ ¹®¼­ ºÐ·ù¿Í À̸¦ ¹ÙÅÁÀ¸·Î »ç¿ëÀÚÀÇ Á¤º¸ ¿ä±¸¿¡ ´ëÇÑ °³ÀÎÈ­ µÈ Á¤º¸¸¦ Á¦°øÇϴ ¿¡ÀÌÀüÆ®¸¦ Á¦¾ÈÇÑ´Ù. ¿¡ÀÌÀüÆ®´Â À¥ ¹®¼­µéÀÌ °¡Áö´Â Àǹ̠±¸Á¶¸¦ °èÃþÀû ÇüÅ·ΠǥÇöÇÑ ¿ÂÅç·ÎÁö¸¦ ¹ÙÅÁÀ¸·Î À¥ ¹®¼­¸¦ ºÐ·ùÇÏ°Ô µÈ´Ù. º» ³í¹®¿¡¼­ ¿ÂÅç·ÎÁö´Â °³³ä(concept)°ú °³³ä¿¡ ´ëÇѠƯ¡(feature), °³³ä°£ÀÇ °ü°è(relation) ±×¸®°í ¹®¼­ ºÐ·ù¸¦ À§ÇÑ Á¦¾àÁ¶°Ç(constraint)À¸·Î ÀÌ·ç¾îÁø´Ù. ¿¡ÀÌÀüÆ®´Â »ç¿ëÀÚ ÇÁ·ÎÆÄÀÏ°ú ¹®¼­ ½Äº°ÀÇ °á°ú¸¦ ÀÌ¿ëÇÏ¿© »ç¿ëÀÚÀÇ Á¤º¸ ¿ä±¸¸¦ È¿À²ÀûÀ¸·Î ÆľÇÇÏ°í »ç¿ëÀÚÀÇ ºê¶ó¿ì¡À» µ½°ÔµÈ´Ù. ¶ÇÇÑ ¿¡ÀÌÀüÆ®´Â ¼±ÇàŽ»ö(look-ahead)¹æ¹ýÀ» ÅëÇØ ¹®¼­¸¦ È¹µæ, ¹®¼­¸¦ °³³äÀ¸·Î Ç¥ÇöÇÔÀ¸·Î½á »ç¿ëÀÚ°¡ Á»´õ ÀÌÇØÇϱ⠽¬¿î »óÀ§ ´Ü°èÀÇ À¥ ¹®¼­¸¦ ÃßõÇÏ°Ô µÈ´Ù.
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(English Abstract)
Ontology is the artifacts for representing the truth or the states of objects by defining objects and their relations. In this paper, we propose an agent that classifies Web documents and provides personalized information towards user´s information needs using ontology. The agent uses ontology in which semantic relations on Web documents are represented in a hierarchical form to classify Web documents. In this paper, ontology consists of concepts, features(describing concepts), relations(among concepts) and constraints(among elements in a feature). The agent can capture user´s information needs efficiently by using ontology and assist Web navigation by using users profiles and the results of identification of semantic relations in Web documents.
Also, the agent obtains Web documents by a look-ahead search and represents them as concepts, therefore users can understand them easily by receiving recommendations expressed in the form of high-level concepts.
Å°¿öµå(Keyword) ÀΰøÁö´É   °³ÀÎÈ­   À¥ ³×ºñ°ÔÀ̼Ǡ  ¿ÂÅç·ÎÁö ±â¹Ý   Ãßõ ¿¡ÀÌÀüÆ®   Personalized   Web Navigation   Ontology-based   Recommendation Agent  
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