Maybe it is possible to support at least the default formats for libreoffice ?Īll in all everything looks smooth (I had good experiences with 5.3.2.7, so I hoped it was not broken in final.). But the file is not recognized as a Lbre Office format. odp format (teh defautl libre office format). But the file extensions are not detected (created a presentation, saved in. It is very nice that Libre Office is integrated. After shutdown-restart this is fixed (save file is created). I detected this because my environment has many wireless access points, and I saw the scroll bar schrink in size. The problem lies in the fact that frisbee uses a white 'paper' and draws text with white 'ink'. After I install on SD card, select Frisbee for network connection, I cannot see any wireless networks. I currently run from SD card on a eeePC 1001HA (1.6GHz N270 with i945 graphics and RT3090 wireless, 1Gbyte RAM). Feel free to use this dataset to compare your PDF title extraction tool against Docear’s PDF Inspector.First of all, this is a good decision, to integrate the packages that everybody would install if they really want to use the distro. The dataset also contains an Excel file with the extracted titles from Docear’s PDF Inspector, Google Scholar, and ParsCit. This datasets contains 500 PDFs that we used to evaluate Docear’s PDF Inspector. We stored whether stop words were removed, which weighting scheme was applied, whether terms and/or citations were used for the user modelling process, and 28 other variables that are described in more detail in the dataset’s readme file. Information on the algorithms are manyfold. The recommendation dataset contains information on 308,146 recommendations that were delivered to 3,470 users between March 2013 and March 2014. This includes the date of creation and delivery, the time required to generate recommendations and corresponding user models, and information on the algorithm that generated the recommendations. Among others, the dataset includes information about the users’ date of registration, gender and age (if provided during registration), usage intensity of Docear, when Docear was last started, when recommendations were last received, the number of created mind-maps, number of papers, how recommendations were labeled, the number of received recommendations, and click-through rates (CTR) on recommendations. The user dataset contains information about 8,059 of 21,439 registered users, namely about those who activated recommendations and agreed to have their data analyzed and published. Information includes the number of nodes, the documents that are linked, the id of the user who created the mind-map, and when mind-maps were created The mind-maps themselves are not included in the dataset due to privacy reasons. The mind maps dataset contains information on 390,613 revisions of 52,202 mind-maps created by 12,038 users. This leads to 19.3 million entries in the dataset.

The dataset also provides citation positions, i.e. This includes information about 9.4 million documents, including 7.95 million citations and 1.8 million URLs to freely available academic PDFs on the Web. The research papers dataset contains information about the research papers that Docear’s PDF Spider crawled and their citations.

Docear encoding issue