The dataset contains four collections of files: three collections of genomes, each belonging to a distinct species, and a set of three 32-bit integer arrays. In particular:
- Cere: collection of 39 strains of Saccharomyces cerevisiae (cere);
- E. Coli: collection of 33 strains of the bacteria Escherichia coli;
- Para: collection of 36 strains of the yeast Saccharomyces paradoxus;
- DLCP: Differential Longest Common Prefix arrays computed by the Relative-FM data structure from a set of three human genomes.
These files are formatted as follows:
- Cere, E. Coli, Para: textual files (ASCII), sequence of characters drawn from the alphabet ACTGN.
- DLCP: binary files, sequence of signed 32-bits integers in little-endian byte-order (as obtained by dumping an array of int32_t into a file with a single fwrite in any modern machine).
The dataset (gzipped tar file, ~7.5GB) can be downloaded here.
We are glad to announce that our paper “A Piggyback System for Joint Entity Mention Detection and Linking in Web Queries” have been accepted at the 25th International World Wide Web Conference (WWW 2016) conference. It is now available for download.
In this paper we build a novel graph upon hashtags and (Wikipedia) entities (HE-Graph) and we exploit it to address two challenging problems regarding the “meaning of hashtags”: hashtags relatedness and hashtag classification.
We also constructed two datasets for hashtags relatedness and classification. We are happy to release them to the research community, together with the HE-graph we constructed (Hashtag Datasets).
We announce that our papers “Compressed indexes for string-searching in labeled graphs” and “GERBIL – General Entity Annotator Benchmark” have been accepted at the 24th International World Wide Web Conference (WWW 2015) conference.
See you in Florence
We are glad to announce that Giuseppe Ottaviano and Rossano Venturini’s “Partitioned Elias-Fano Indexes” won the SIGIR 2014 Best Paper Award. Here’s a link to the article.