ADQUISICION DE ESCENARIOS DE CONOCIMIENTO A TRAVES DE LA LECTURA DE TEXTOS: LING...
ADQUISICION DE ESCENARIOS DE CONOCIMIENTO A TRAVES DE LA LECTURA DE TEXTOS: LINGUISTICA Y COGNICION
THE VOLUME OF TEXTUAL DATA IS ENORMOUS AND IS CONTINUOUSLY EXPANDING,COVERING BILLIONS OF ARCHIVED DOCUMENTS AND MILLIONS OF DOCUMENTS ASDAILY STREAMS. AT THE SAME TIME THIS TEXTUAL DATA IS GETTING MORE ANDMORE INTERCONNECTED WITH...
THE VOLUME OF TEXTUAL DATA IS ENORMOUS AND IS CONTINUOUSLY EXPANDING,COVERING BILLIONS OF ARCHIVED DOCUMENTS AND MILLIONS OF DOCUMENTS ASDAILY STREAMS. AT THE SAME TIME THIS TEXTUAL DATA IS GETTING MORE ANDMORE INTERCONNECTED WITH KNOWLEDGE PROVIDED ELSEWHERE. PROFESSIONALDECISION-MAKERS THAT NEED TO RESPOND QUICKLY TO NEW DEVELOPMENTS ANDKNOWLEDGE, OR THAT NEED TO EXPLAIN THESE DEVELOPMENTS ON THE BASIS OFTHE PAST, ARE FACED WITH THE PROBLEM THAT CURRENT SOLUTIONS FORCONSULTING THESE ARCHIVES AND STREAMS NO LONGER WORK, SIMPLY BECAUSETHERE ARE TOO MANY POSSIBLY RELEVANT AND PARTIALLY OVERLAPPINGDOCUMENTS. THIS IS AGGRAVATED BY THE FACT THATTHEY STILL NEED TODISTINGUISH, BY READING THE CONTENT, THE CORRECT FROM THE WRONG, THENEW FROM THE OLD ANDTHE ACTUAL FROM THE OUT-OF-DATE. CONSEQUENTLY, ITBECOMES ALMOST IMPOSSIBLE TO MAKE WELL-INFORMED DECISIONS ANDPROFESSIONALS RISK TO BE HELD LIABLE FOR DECISIONS BASED ONINCOMPLETE, INACCURATE AND OUT-OF-DATE INFORMATION.SKATER WILL DEVELOP DOMAIN-ORIENTED CONTENT ENABLING SYSTEMS THAT WILLPROVIDE DEEP SEMANTIC CAPABILITIES TO PROCESS LARGE QUANTITIES OFMULTILINGUAL DATA. SKATER WILL PROCESS DOCUMENTS IN ENGLISH, SPANISH,CATALAN, BASQUE AND GALICIAN. IT WILL ALSO EXTRACT WHAT HAPPENED TOWHOM, WHEN AND WHERE, REMOVING DUPLICATION, COMPLEMENTING INFORMATION,REGISTERING INCONSISTENCIES AND KEEPING TRACK OF THE ORIGINAL SOURCES.ANY NEW INFORMATION IS INTEGRATED WITH THE PAST THEREBY DISTINGUISHINGTHE NEW FROM THE OLD AND UNFOLDING STORY LINES IN A SIMILAR WAY ASPEOPLE TEND TO REMEMBER THE PAST AND ACCESS KNOWLEDGE AND INFORMATION.THE DIFFERENCE BEING THAT SKATER WILL PROVIDE ACCESS TO ALL ORIGINALSOURCES AND WILL NOT FORGET ANY DETAILS. WE WILL DEVELOP TOOLS THATWILL ALLOW PROFESSIONAL DECISION-MAKERS TO EXPLORE THESE STORY LINESUSING VISUAL INTERFACES TO EXPLOIT THEIR EXPLANATORY POWER AND THEIRSYSTEMATIC STRUCTURAL IMPLICATIONS. LIKEWISE, SKATER WILL MAKEPREDICTIONS ON FUTURE EVENTS BASED ON PAST INFORMATION OR WILLEXPLAIN NEW EVENTS AND DEVELOPMENTS BY LOOKING AT THE PAST.REGARDING THE EXPERTISE AND HUMAN RESOURCES GATHERED IN THIS PROJECT,RATHER THAN JUST PILING EXPERTS FROM LOOSELY RELATED AREAS, WE HAVEPURPOSEFULLY SELECTED A COORDINATED GROUP OF RESEARCHERS FROM SIXDIFFERENT RESEARCH GROUPS THAT TOGETHER WILL FORM A VIRTUAL RESEARCHLABORATORY WITH THE NECESSARY CRITICAL MASS TO ADDRESS THE CHALLENGESPOSED BY THE PROJECT. SKATER IS FORMED BY AN INTERDISCIPLINARY GROUPINCLUDING COMPUTER-SCIENCE EXPERTISE ON NATURAL LANGUAGE PROCESSINGAND TEXT MINING, AND LINGUISTIC EXPERTISE ON THE FIVE TARGETLANGUAGES.THE ADVANCES OF SKATER WILL BE DEMONSTRATED BY QUALITY PUBLICATIONS INTOP-RANKING CONFERENCES AND JOURNALS, AS WELL AS DEMONSTRATORS ANDPROTOTYPES ON REAL-WORLD DOMAINS SUCH US EDUCATION, MEDICINE, ETC. THETRANSFER OF THE TECHNOLOGY DEVELOPED IN SKATER TO THE INDUSTRY WILL BEFACILITATED BY THE APPLICATION OF THE RESEARCH RESULTS TO REALSCENARIOS AND BY THE ADOPTION OF THE LASTEST REPRESENTATION STANDARDSAND FREE SOFTWARE LICENSING PRACTICES. THE LARGE NUMBER OF EPOS INTHIS PROPOSAL, AND THEIR LEVEL OF COMMITMENT, ALREADY SHOWS THEINTEREST THAT THIS PROPOSAL ARISES.ver más
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