Hi Sigurd, just to complement Lars very deep answers,
In data giovedì 7 marzo 2013 08:49:51, Lars Holm Nielsen ha scritto: > > 2) Which module harvest metadata from a document (based on how often > > the word is mentioned, headings, etc.)? And how do we make this work? I think what you are looking for in this case might be BibClassify: <http://invenio-demo.cern.ch/help/admin/bibclassify-admin-guide> and RefExtract/DocExtract (which extract references from papers: <http://invenio-software.org/wiki/Development/Modules/RefExtract> > I'm not sure if I answered your question - but from the document you > upload only the metadata is indexed and searchable. Invenio has add-ons > with SOLR to also search the text inside the PDF, but to get started I > think it's better to leave that for later until you understand above first. Regarding fulltext indexing, natively Invenio do index fulltext files by automatically trying to convert common format into text format first. This happens transparently for fulltext file attached to record in the for of BibDocs. However without enabling SOLR, only simple word searching is available (so no phrase search). > > 3) How can we upload photos and videos to the repo > > As described above, just change the FFT tag to point to your file. Alternatively, for user oriented interfaces, have a look at the demo submission interfaces: "Demo Picture Submission” and "Demo Video Submission” and in general to WebSubmit: <http://invenio-demo.cern.ch/help/admin/websubmit-admin-guide> Cheers! Sam -- Samuele Kaplun Invenio Developer ** <http://invenio-software.org/>
