Andreas Harth, Sami Lini, Juergen Umbrich
Evaluating semantic search systems raises unique challenges: first, what exactly is semantic search? What type of searches and queries are supported? How do semantic systems compare to classic search systems? Unlike traditional fields such as information retrieval, the research area of semantic user interfaces lacks standard corpora and evaluation methods.
Here, we present a benchmark dataset about books compiled from multiple sources, describe how we merged the data, discuss the issues encountered, and present a method to evaluate semantic search systems.
We employ an object-orientated data model. The classes are Book (describing books), Person (describing authors), Concept (describing book subjects), and Rating (describing book ratings).
For convenience, we provide serialisations of the corpus in RDF/NQ and RDF/XML formats. Data about books is available in DC/XML, MARC/XML, suitable for processing with the LoC XSLTs; we also provide MARC, suitable for MARC4J.
There's also the master NQ file containing Book, Person, Concept, and Rating instances, plus partial ontology information.
|Book Ratings||The Institut für Informatik, Universität Freiburg released a free dataset on books, users and ratings available in several file types.||Freely available for research use when acknowledged with a reference||Homepage|
|OpenLibrary||The OpenLibrary is a project of making freely available all the data existing on books. Their database contains most of the biggest worldwide libraries' datasets.||OCLC record usage guidelines.||Licence|
|LibraryThing.com||LibraryThing is a community-based website that allows one to catalog all the books he/she owns and to use tags to organize the collection. The Library of Congress and Amazon provide further information about the books added. Their API ThingISBN makes the mapping between different ISBN and LCCN values.||"Non-commercial" restricts the data to non-commercial use only; commercial use requires written permission. "Unrestricted" data can be used for both non-commercial and commercial use.||Licence|
|AOL Dataset||The AOL dataset contains ~20M web queries collected from ~650k users over three months. We selected 75 book-related queries from the dataset.||For non-commercial research use only. Any application of this collection for commercial purposes is strictly prohibited.||Readme|