We are offering two internships related to various research and software development projects at the National Institute of Informatics Tokyo – Japan’s premiere research institute in computer science.
• Location: Tokyo, Japan
• Duration: minimum 2 months, maximum flexible
• Salary: approx. 170,000 JPY per month (sufficient to cover living expenses in Tokyo)
• Interns must be currently enrolled master or doctoral students.
• Background in computer science or related disciplines
• Motivation, curiosity, ability to work methodologically and independent
For more information on potential tasks or any other questions, please contact Bela Gipp (firstname.lastname@example.org). Please include a short description of yourself, your background and the period in which you would like to do the internship.
In cooperation with the German Academic Exchange Service (DAAD), we are offering a paid internship for a computer science Bachelor student, who is passionate about prototype design and development. Prerequisite is that you are a student studying at a German university. More details on prerequisites here, download the project description as PDF.
At SciPlore you will be working with an international team of researchers, affiliated with the University of California Berkeley and the University of Magdeburg in Germany. As an intern, you will have the chance to spend 6-12 weeks abroad at a research institute collaborating with the SciPlore team.
The SciPlore team develops novel approaches in citation and semantic text analysis for quantifying similarities between scientific articles. Similarity assessments are crucial to many Information Retrieval (IR) tasks, such as clustering of documents, recommending academic literature, or automatically detecting academic plagiarism.
Below is a screenshot of CitePlag – the first prototype of a citation-based plagiarism detection system, which we developed. To see for yourself the document similarity visualization of CitePlag, use the system on a real plagiarism case that translated from Chinese, or on a plagiarized medical publication that was retracted with the help of CitePlag.
Plagiarism Case by K.-T. zu Guttenberg
Screenshot showing document visualization in CitePlag – click on the image to open the interactive web-based prototype
This internship with SciPlore is made possible by the German Academic Exchange Service (DAAD). To apply, simply create a profile with the DAAD on their RISE-Weltweit 2014 website and search for SciPlore’s project page in their database, which describes all the details of the internship project, including your tasks and the skills required.
Application deadline is January 12, 2014.
Compensation: The DAAD will provide you with a monthly stipend and a fixed payment to cover your travel expenses!
Berkeley – 1,000 EUR per month + 1,250 EUR onetime payment for travel expenses
Docear is a unique solution to academic literature management. It seamlessly integrates mind mapping with a reference manager to help you organizing your thoughts and import the annotations you made while reading PDFs.
Docear’s approach, which we termed the ‘literature suite concept’, helps you with all three steps of the reading – creative thinking – and the writing process:
organize your thoughts and annotations (mind map)
create new documents (exporting outlines from mind map)
discover new academic literature (recommender system)
Docear does this in a single-section user-interface. This distinguishes the software from the interfaces of competitors, including Zotero, JabRef, Mendeley, Endnote, etc. Our goal is that you never get lost or forget an idea again.
Docear helps you draft and write academic documents, e.g. papers, books, or theses, by organizing the notes, highlights, comments, bookmarks, etc. you created in PDFs in a single mind map. Docear works with standard PDF annotations, so you can use your favorite PDF viewer. You can export an outline of your paper from your mind map to your word processor.
The literature suite concept includes a recommender system that lets you discover new academic literature and a reference manager that helps you cite sources and create your bibliography.
CitePlag is the first prototype of a citation-based Plagiarism Detection (CbPD) System. The prototype was recently demonstrated at the SIGIR conference 2013.
What makes CitePlag novel?
In contrast to existing text-based approaches to plagiarism detection, CitePlag does not solely analyze literal text matches to determine document suspiciousness – but rather, CitePlag makes use of the unique citation placement in the full-text of documents to determine similarity and detect potential plagiarism.
In examining citation placement, position, and order, CitePlag forms a text-independent / and even language-barrier transcending “fingerprint” of the semantic content of documents, which can then be used to detect potential unoriginality and plagiarism.
CitePlag has come a long way from its humble beginnings in 2010, when we proposed the first citation-based approach to detect semantic similarity between documents for use in plagiarism detection. A year later, we developed the algorithms, and today we have a working prototype available for public use.
CitePlag now has a new user interface with improved functionality.
upload your own files (PDF/ text documents)
examine recent plagiarism findings and examples of retracted plagiarism cases
compare any two publications from the Open Access subset of PubMed’s database (200,000+ medical publications)
From March 6th to 10th, 2012 we will be at the CeBIT in Hannover, Germany. CeBIT is the digital industry’s largest and most international trade show. This event is always worth a visit. We will be at Halle 9, Stand A 10 to present Docear. You are welcome to visit us and meet the Docear team (or at least part of the team).
Today, on February 15th, 2012 we released the first public version of Docear. It’s a Beta version and still has some bugs and missing features but overall it will give you a thorough impression of what we consider an academic literature suite should be.
The main idea behind Docear is that you annotate everything you consider important in a PDF. That means, you highlight text, write comments, or create bookmarks in the PDF. To create bookmarks and comments, you can use almost any PDF reader (highlighting text is a bit more complicated). These PDF annotations are then imported by Docear to a mind map. In this mind map you can organize all your annotations into categories, create further nodes and add more text. With the integrated reference manager, bibliographic data can be added to each of the PDF annotations (and all other nodes in the mind map). Subsequently, you can create a new mind map, drag e.g. a research paper, copy your annotations to the draft and if you need more information you just click on the PDF annotation and the PDF will open on the page the annotation was made. Watch this video to get a better idea of what Docear can do (watch it in full-screen mode). (more…)