02159nas a2200385 4500000000100000000000100001008004100002653001300043653002100056653003400077653002900111653002100140653001800161653002500179653002400204653002600228653001700254653001700271653002500288653001700313653003000330653003300360653002500393653001200418653004100430100001400471700001200485700001600497700001200513245014500525300001200670490000700682520107000689022001401759 2016 d10aBig data10aData acquisition10aIntangible cultural heritages10aKnowledge representation10aPareto principle10apath analysis10aQuestionnaire design10aregression analysis10aScientific researches10asemantic web10asemantic web10aSocial constructions10astakeholders10aStructural equation model10aStructural equation modeling10aStructural equations10aTourism10atourism intangible cultural heritage1 aMeiyu Shi1 aWei Zhu1 aHongji Yang1 aChen Li00aApplying semantic web and big data techniques to construct a balance model referring to stakeholders of tourism intangible cultural heritage a192-2000 v543 aThe development of tourism intangible cultural heritage, by its very nature, is a process of social construction by stakeholders through their transaction, coordination, interest alienation and sharing the responsibility. Coordinating and balancing the interest conflict within every stakeholder to achieve the Pareto Optimality is a major difficulty in the tourism intangible cultural heritage development. In another side, semantic web is a computer term that is known its efficiency in knowledge representation of concepts. In this paper, we applied semantic web to modelling the balance model of stakeholders of tourism intangible heritage in the data collecting process, including data acquisition from entire network combining with structural equation method and path analysis based on a big data platform and questionnaire design, which is the innovative attempt to integrate these two typical computer technologies into social scientific research. Further analysis of the final constructed model demonstrates the effectiveness of the proposed application. a0952-8091