Myaeng, Sung Hyon
Experiential knowledge mining Sung-Hyon Myaeng, Yoonjae Jeong, Yuchul Jung - ix, 102 p. : ill. ; 24 cm. - Foundations and trends in Web science ; 4:1 .
Originally published as Foundations and trends in Web science, Volume 4, Issue 1, 2012.
"Recent advances in Internet and Web technologies and the advent of Web 2.0 have made it possible to share information and knowledge surrounding human activities, which can be obtained from massively deployed sensors and the Web resources. This survey provides a comprehensive overview of mining experiential knowledge bearing on human activities, with an emphasis on the use of the Web. Starting from definitions of activities and experiences, we elaborate on various views of human activities in cognitive science, including knowledge representation schemes. We then describe two activity detection techniques arising from different types of information sources: sensor-driven approaches for the physical space and text-driven approaches for the cyberspace. Focusing on experiential knowledge of human activities that can be discovered from unstructured text, we review and summarize the existing body of literature on experiential knowledge filtering, context identification for knowledge, and knowledge distillation. There is no doubt that the vast amount of information on human experience including activities is going to help detecting, recognizing, and understanding human activities of various sorts. We illustrate potential applications of experiential knowledge in different domains, such as information retrieval, service recommendation, and semantic Web. Following the survey of on-going research on capturing and utilizing human activities and experiences, we finally present challenging research issues for further research."
9781601986887 1601986882 (paperback)
Data mining
Information retrieval
004.678
Experiential knowledge mining Sung-Hyon Myaeng, Yoonjae Jeong, Yuchul Jung - ix, 102 p. : ill. ; 24 cm. - Foundations and trends in Web science ; 4:1 .
Originally published as Foundations and trends in Web science, Volume 4, Issue 1, 2012.
"Recent advances in Internet and Web technologies and the advent of Web 2.0 have made it possible to share information and knowledge surrounding human activities, which can be obtained from massively deployed sensors and the Web resources. This survey provides a comprehensive overview of mining experiential knowledge bearing on human activities, with an emphasis on the use of the Web. Starting from definitions of activities and experiences, we elaborate on various views of human activities in cognitive science, including knowledge representation schemes. We then describe two activity detection techniques arising from different types of information sources: sensor-driven approaches for the physical space and text-driven approaches for the cyberspace. Focusing on experiential knowledge of human activities that can be discovered from unstructured text, we review and summarize the existing body of literature on experiential knowledge filtering, context identification for knowledge, and knowledge distillation. There is no doubt that the vast amount of information on human experience including activities is going to help detecting, recognizing, and understanding human activities of various sorts. We illustrate potential applications of experiential knowledge in different domains, such as information retrieval, service recommendation, and semantic Web. Following the survey of on-going research on capturing and utilizing human activities and experiences, we finally present challenging research issues for further research."
9781601986887 1601986882 (paperback)
Data mining
Information retrieval
004.678