Development of an answer question system that reuses the existing help manuals as knowledge resource written with language

1知识获取与新的匹配方法（1）作为问答系统的知识资源，我们不仅使用了应用软件的帮助手册，而且还使用了从Web上获取的知识。(2)In为了灵活地向用户提供合适的信息，我们提出了一种释义词典，它将用户的歧义表达与信息检索的关键词联系起来。2.用户模型的构建（1）在观察用户操作应用软件的行为模式的基础上，通过主题实验构建了用户模型。3.应用软件的语言操作（1）本研究构建了一个原型系统，该系统可以通过用户的语言指令操作应用软件MS Outlook、MS Word、MS Excel。(2)We参考应用软件使用手册，构建了应用软件的任务本体和领域本体。基于本体论，已经成功的是，所提出的系统可以通过适当地解释用户的语言解释来操作。4.向用户提供智能信息的建议（1）我们提出了一种向用户提供与用户的兴趣相对应的定制信息的机制。在操作能力方面有所提高。特别地，我们将在3（2）中获得的领域和任务本体引入到系统中。6.评估所提出的方法为了评估所提出的机制，我们通过主题实验比较了系统和人类产生的输出。作为实验的结果，我们发现该系统可以向用户提供与人类相同的比例的适当信息。

1 Knowledge acquisition and new matching method(1)As knowledge resource for our question and answer system, we use not only help manuals of application software, but also use knowledge obtained from Web.(2)In order to flexibly provide appropriate information to users, we proposed a paraphrasing dictionary that connects user's ambiguous expressions to a keyword for information retrieval.2.User model construction(1)A user model was constructed based on a subject experiment in that the patterns of users' behaviors of operating application software were observed. A user model, which can provide appropriate help information to a user, was constructed.3.Verbal operation of application software(1)We constructed a prototype system that can operate application software, MS Outlook, MS Word, MS Excel in this study, through user's language instructions.(2)We constructed task and domain ontology of application software, referring to use's manual of application software operation. And based on the ontology, it has been successful that the proposed system can be operated by adequately interpreting user's language instruction.4.Proposal of intelligent information providing to users(1)We proposed a mechanism that provides tailor-made information to a user corresponding to the user's interest.5.Enhancement of the functions of the prototype system mentioned at 3 (1)The prototype system mentioned at 3 (1) was improved in terms of operation ability. Especially, we introduced domain and task ontology obtained at 3 (2) into the system.6.Evaluation of the proposed methodsIn order to evaluate the proposed mechanism, we compared the output produced by the system and humans through a subject experiment. As the result of the experiment, we figured out that the system can provide proper information to users with the same ratio as humans can do.