Docear at JCDL 2013 in Indianapolis (USA), three demo papers, proof-reading wanted
Three of our submissions to the ACM/IEEE Joint Conference on Digital Libraries (JCDL) were accepted. They relate to recommender systems, reference management, and pdf metadata extraction:
In this demo-paper we introduce Docear4Word. Docear4Word enables researchers to insert and format their references and bibliographies in Microsoft Word, based on BibTeX and the Citation Style Language (CSL). Docear4Word features over 1,700 citation styles (Harvard, IEEE, ACM, etc.), is published as open source tool on http://docear.org, and runs with Microsoft Word 2002 and later on Windows XP and later. Docear4Word is similar to the MS-Word add-ons that reference managers like Endnote, Zotero, or Citavi offer with the difference that it is being developed to work with the de-facto standard BibTeX and hence to work with almost any reference manager.
In this demo-paper we present Docear’s PDF Inspector (DPI). DPI extracts titles from academic PDF files by applying a simple heuristic: the largest text on the first page of a PDF is assumed to be the title. This simple heuristic achieves accuracies around 70% and outperforms the tool ParsCit which uses machine learning (accuracy between 36-50%). In addition, DPI is around 40 times faster than ParsCit, released under the free open source license GPL 2+, written in JAVA and runs on any major operating system.
In this demo paper we present Docear’s research paper recommender system. Docear is an academic literature suite to search, organize, and create research articles. The users’ data (papers, references, annotations, etc.) is managed in mind maps and these mind maps are utilized for the recommendations. Using content based filtering methods, Docear’s recommender achieves click through rates around 6%, in some scenarios even over 10%.
That means, we will be in Indianapolis in July 2013. In a few days (Mai 28th) we have to submit the camera ready versions of the three demo papers listed above. Since we are no native English speakers, there probably are some spelling and grammar mistakes in the papers. If you are a native English speaker and would like to do us a favor, please feel free to read the papers and send us some feedback (we could also send you the word documents it you like). And a ‘funny’ side note: another three posters we submitted also received quite good feedback but were rejected only because the space for poster boots is so limited on the JCDL.