Possibly the wikipedia database raw is not as useful, so there are efforts in different ways to structure the information it contains. See:
http://dbpedia.org/ Gastón. 2011/9/6 Gastón Dall' Oglio <[email protected]> > Hello. > > The Wikipedia database? > http://en.wikipedia.org/wiki/Wikipedia:Database_download > > Gastón. > > 2011/9/6 Tudor Girba <[email protected]> > >> Thanks everyone for the suggestions. I will try to look into them. >> >> Cheers, >> Doru >> >> >> >> On 5 Sep 2011, at 07:04, Lukas Renggli wrote: >> >> > Stanford has many large graph-like datasets to download: social >> > networks, web graphs, peer-to-peer networks, shopping networks, road >> > networks, wikipedia networks, etc. >> > >> > http://snap.stanford.edu/data/ >> > >> > Lukas >> > >> > On 5 September 2011 06:24, Guillermo Polito <[email protected]> >> wrote: >> >> I've used as an example of datamining a dataset about car accidents we >> got >> >> from here http://www.nhtsa.gov/NASS . >> >> >> >> Hope it helps :) >> >> Guille >> >> >> >> On Sun, Sep 4, 2011 at 11:58 PM, Hernán Morales Durand >> >> <[email protected]> wrote: >> >>> >> >>> 2011/9/4 Tudor Girba <[email protected]>: >> >>>> Hi, >> >>>> >> >>>> Thanks, but I am looking for data sets that contained graphs of >> entities >> >>>> with properties, rather then numbers. >> >>>> >> >>> >> >>> Oh, that was just the top of the iceberg, look at cellular interaction >> >>> networks like protein-protein interactions, relations between genes >> >>> and QTLs, phylogenetic trees, gene ontology classifications, etc. >> >>> probably they have more "properties" and relationships than you ever >> >>> imagined. Check for example >> >>> http://www.nature.com/msb/journal/v3/n1/fig_tab/msb4100166_F2.html or >> >>> the one from the Human Interactome here >> >>> http://www.blog.republicofmath.com/archives/2005, or >> >>> >> http://www.biomedcentral.com/content/supplementary/1471-2164-9-96-s6.jpeg >> >>> for Gene Ontology "objects". Also PubMed have thousands of related >> >>> papers about real case studies. >> >>> >> >>>> To give an idea, an example would be a set of persons that have >> multiple >> >>>> properties, such as age or function, and have various kinds of >> relationships >> >>>> with other persons. Ideally, it should be something containing some >> more >> >>>> than 5-10 types of entities. >> >>>> >> >>>> Cheers, >> >>>> Doru >> >>>> >> >>>> >> >>>> On 5 Sep 2011, at 02:51, Hernán Morales Durand wrote: >> >>>> >> >>>>> Hi Tudor, >> >>>>> >> >>>>> I don't know if you want few data sets or many ones, but for each >> case >> >>>>> I found "Selecting genes with dissimilar discrimination strength for >> >>>>> sample class prediction", report case studies in two real cancer >> >>>>> microarray datasets (CAR and LUNG) for gene expression profiling. >> The >> >>>>> Lymphoma case study in humans contains 30 case study genes, you may >> >>>>> read about it in "Examples and Applications of Fuzzy Measure >> >>>>> Similarity Using GO Terms". In general you can find many case >> studies >> >>>>> from SNP data experiments doing all kind of predictions, for example >> >>>>> from protein structure prediction studies that use LiveBench data >> sets >> >>>>> (http://en.wikipedia.org/wiki/LiveBench), search for "Consensus >> fold >> >>>>> recognition by predicting model quality". >> >>>>> If you need more or something more specific just ask :) >> >>>>> Cheers, >> >>>>> >> >>>>> Hernán >> >>>>> >> >>>>> 2011/9/4 Tudor Girba <[email protected]>: >> >>>>>> Hi, >> >>>>>> >> >>>>>> To show how Moose can support the analysis of various data sets, I >> am >> >>>>>> looking for a case study containing a complex data structure that >> does not >> >>>>>> represent a software system, and a set of questions associated with >> it. >> >>>>>> Ideally, the data should be freely available and it should contain >> a set of >> >>>>>> entities with various properties and various relationships with >> other >> >>>>>> entities. >> >>>>>> >> >>>>>> Anyone has any idea regarding such a case study? >> >>>>>> >> >>>>>> Cheers, >> >>>>>> Doru >> >>>>>> >> >>>>>> -- >> >>>>>> www.tudorgirba.com >> >>>>>> >> >>>>>> "There are no old things, there are only old ways of looking at >> them." >> >>>>>> >> >>>>> >> >>>> >> >>>> -- >> >>>> www.tudorgirba.com >> >>>> >> >>>> "Every successful trip needs a suitable vehicle." >> >>>> >> >>> >> >> >> >> >> > >> > >> > >> > -- >> > Lukas Renggli >> > www.lukas-renggli.ch >> > >> >> -- >> www.tudorgirba.com >> >> "Reasonable is what we are accustomed with." >> >> >> >
