What is happening in a meeting?
This event took place on Wednesday 12 December 2007 at 11:30
Dr. Nailah Abdullah Honiden Laboratory, Intelligent Research System Division, National Institute of Informatics, Japan
This is an introduction to a proposed collaboration between National Institute of Informatics, Japan and KMi on developing method of analysis and tools for understanding what is happening in a meeting. The long-term goal is to capitalize FlashMeeting for the field of requirement engineering. The rapidly increasing globalization of software industry creates a strong demand to achieve a better understanding of the challenges faced by multi-site software development and to study advanced technologies that successfully support collaborative activities in global software engineering. Software engineers have adopted every mainstream communication technology
such as telephone, teleconferences, email, voice mail, discussion lists, Web, instant messaging, text messaging, video conferences, voice over IP, useful at every stage of a project?s lifecycle. Their main concern during these Web meetings is for analysts to understand ?what is happening in the meeting (for example during videoconferencing meetings)?
FlashMeeting currently provides data analysis of meeting footprints. As a first step towards achieving our goal, we propose further: linking a micro-level analysis to the current data analysis provided by Flashmeeting. We retrieved two different types of naturalistic meetings as benchmark data. We focus firstly on analyzing animation meeting, closely resembling a working/design meeting.
This talk will be divided into two parts. The first part briefly introduces the problems faced by requirement engineers in Japan. The second part concerns the ongoing research with collaborating teams at KMi on analyzing animeetings highlighting the developing method and some results.
This event took place on Wednesday 12 December 2007 at 11:30
This is an introduction to a proposed collaboration between National Institute of Informatics, Japan and KMi on developing method of analysis and tools for understanding what is happening in a meeting. The long-term goal is to capitalize FlashMeeting for the field of requirement engineering. The rapidly increasing globalization of software industry creates a strong demand to achieve a better understanding of the challenges faced by multi-site software development and to study advanced technologies that successfully support collaborative activities in global software engineering. Software engineers have adopted every mainstream communication technology
such as telephone, teleconferences, email, voice mail, discussion lists, Web, instant messaging, text messaging, video conferences, voice over IP, useful at every stage of a project?s lifecycle. Their main concern during these Web meetings is for analysts to understand ?what is happening in the meeting (for example during videoconferencing meetings)?
FlashMeeting currently provides data analysis of meeting footprints. As a first step towards achieving our goal, we propose further: linking a micro-level analysis to the current data analysis provided by Flashmeeting. We retrieved two different types of naturalistic meetings as benchmark data. We focus firstly on analyzing animation meeting, closely resembling a working/design meeting.
This talk will be divided into two parts. The first part briefly introduces the problems faced by requirement engineers in Japan. The second part concerns the ongoing research with collaborating teams at KMi on analyzing animeetings highlighting the developing method and some results.
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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