000			03349nam a22006015i 4500
001			978-3-642-22688-5
003			DE-He213
005			20160624102201.0
007			cr nn 008mamaa
008			110718s2011 gw | s |||| 0|eng d
020			_a9783642226885 _9978-3-642-22688-5
024	7		_a10.1007/978-3-642-22688-5 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aConceptual Structures for Discovering Knowledge _h[electronic resource] : _b19th International Conference on Conceptual Structures, ICCS 2011, Derby, UK, July 25-29, 2011. Proceedings / _cedited by Simon Andrews, Simon Polovina, Richard Hill, Babak Akhgar.
260		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXIV, 424 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v6828
520			_aThis book constitutes the proceedings of the 19th International Conference on Conceptual Structures, ICCS 2011, held in Derby, UK, in July 2011. The 18 full papers and 4 short papers presented together with 12 workshop papers were carefully reviewed and selected for inclusion in the book. The volume also contains 3 invited talks. ICCS focuses on the useful representation and analysis of conceptual knowledge with research and business applications. It advances the theory and practice in connecting the user's conceptual approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. Conceptual structures (CS) represent a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modelling, information and Web technologies, user modelling, and knowledge management. Two of the workshops contained in this volume cover CS and knowledge discovery in under-traversed domains and in task specific information retrieval. The third addresses CD in learning, teaching and assessment.
650		0	_aComputer science.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aDatabase Management.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aMathematical Logic and Formal Languages.
650	2	4	_aPattern Recognition.
650	2	4	_aData Storage Representation.
700	1		_aAndrews, Simon. _eeditor.
700	1		_aPolovina, Simon. _eeditor.
700	1		_aHill, Richard. _eeditor.
700	1		_aAkhgar, Babak. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642226878
786			_dSpringer
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v6828
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-22688-5
942			_2EBK9794 _cEBK
999			_c39088 _d39088