The long term signature (LTS) is composed of an electronic signature and timestamp and it may be an effective technology for protecting intellectual property. This study describes a method of applying LTSs to files generated by office applications. The targeted files are in Open Office XML (OOXML) and are opened by MS Office 2007. XML LTS is described in XAdES format. Two types of LTS, that is, standard LTS and expanded LTS, can be used to apply XAdES to OOXML. The standard format involves a LTS description in a XML signature file that is defined by OOXML. The expanded format separates the LTS description from the XML signature file. Both formats satisfy the OOXML and XAdES specifications. As a result of reading two XAdES signature word processing files by using Office 2007, the file with the expanded LTS was recognized as a valid file with an XML signature, whereas the file with the standard LTS was not.

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In this paper, we propose a method for automatic term recognition (ATR) which is using the statistical differences of relative frequencies of terms in target domain corpus and in others. The target terms more frequently appear in target domain corpus than in other domain corpus. Utilizing such characteristics will lead to the improvement of extraction performance. Most of the ATR methods proposed so far only use the target domain corpus and do not take such characteristics into account. For the extraction experiment, we used the abstracts of the Women's Studies International Forum as a target domain corpus and those of academic journals of 39 domains as non-target domain corpus. The extraction performance was examined and we found that our method outperformed the existing ATR methods. We confirmed that it is possible to decrease the size of the other domain corpus by the experiments which used random journals out of 39 domains. As a result, we found that we used some corpus consists of journals which is similar to target domain is almost as high extraction performance as the corpus consists of 39 journals.

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In general, on educational situations it is said that handwriting will improve the effect of memory and understanding more than keyboard input. But recently, the keyboard input is the main current in business scenes and business workers skillfully master digital tool, so as to work efficiently. In this study we reconfirm the effect of handwriting, and suggest possibility that business workers in the future will improve the productivity with those digital tools.

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A report to the Copyright Committee of the Agency for Cultural Affairs of Japan, in January 2010, recommend to introduce the fair use clauses only in a few selected areas. The relationship of this report with the 2008 report to the Council for Intellectual Property Promotion was discussed, as well as similar laws in other countries.

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