Tapioca: Tapioca is a search engine for topically similar RDF datasets.

Tapioca is a search engine for finding topically similar linked data datasets.

Demo Issues Source Code

The Web of data is growing continuously with respect to both the size and number of the datasets published. Porting these datasets to five-star Linked Data however requires data publishers to link their novel dataset with the already available Linked Data sets. Given the size and growth of the Linked Data Cloud, the current mostly manual approach used for detecting relevant datasets for linking is thus obsolete.

We present Tapioca, a linked dataset search engine so as to provide data publishers with similar existing datasets automatically. Our search engine uses a novel approach for determining the topical similarity of datasets. This approach relies on probabilistic topic modelling to determine related datasets by relying solely on the metadata of datasets.

The source code can be found at Github. The software is provided under a dual license. For non-commercial purposes, the terms of the LGPL 3.0 license hold. For commercial purposes, please contact us.

For our publication Detecting Similar Linked Datasets Using Topic Modelling we have the following additional material:

  • For the first experiment, you can find the gold standard as well as the detailed F1 scores of Tapioca and a second version of Tapioca that uses the Jensen-Shannon divergence, in this folder.
  • For the second experiment, you can find the detailed values of the P(w|T) and the A measure in this folder.
  • For the third experiment, you can find the detailed values of the P(w|T) and the A measure as well as the F1 scores of our approach in this folder.

Project Team

Publications

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News

ESWC 2017 accepted two Demo Papers by AKSW members ( 2017-04-19T10:19:43+02:00 Christopher Schulz)

2017-04-19T10:19:43+02:00 Christopher Schulz

Hello Community! The 14th ESWC, which takes place from May 28th to June 1st 2017 in Portoroz, Slovenia, accepted two demos to be presented at the conference. Read more about them in the following:                                                                         1. Read more about "ESWC 2017 accepted two Demo Papers by AKSW members"

AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases ( 2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer)

2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer

At the AKSW Colloquium, on Monday 10th of April 2017, 3 PM, Matthias Wauer will discuss a paper titled “Ontop of Geospatial Databases“. Read more about "AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases"

AKSW Colloquium, 03.04.2017, RDF Rule Mining ( 2017-03-31T13:39:28+02:00 TommasoSoru)

2017-03-31T13:39:28+02:00 TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading → Read more about "AKSW Colloquium, 03.04.2017, RDF Rule Mining"

AKSW Colloquium, 27.03.2017, PPO & PPM 2.0: Extending the privacy preference framework to provide finer-grained access control for the Web of Data ( 2017-03-27T10:13:08+02:00 by Marvin Frommhold)

2017-03-27T10:13:08+02:00 by Marvin Frommhold

In the upcoming Colloquium, March the 27th at 3 PM Marvin Frommhold will discuss the paper “PPO & PPM 2.0: Extending the Privacy Preference Framework to provide finer-grained access control for the Web of Data” by Owen Sacco and John G. Read more about "AKSW Colloquium, 27.03.2017, PPO & PPM 2.0: Extending the privacy preference framework to provide finer-grained access control for the Web of Data"

DBpedia @ Google Summer of Code – GSoC 2017 ( 2017-03-13T11:12:50+01:00 Christopher Schulz)

2017-03-13T11:12:50+01:00 Christopher Schulz

DBpedia, one of InfAI’s community projects, will be part of the 5th Google Summer of Code program. The GsoC has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code – GSoC 2017"