Relation Hierarchy

Hierarchy of 600+ relation from multiple knowledge bases

Introduction

Relation hierarchy is a large collection of relations (properties) collected from multiple knowledge bases like Wikipedia Infobox, Wikidata, and DBpedia. It contains individual relation hierarchy from each of the knowledge base and also joint hierarchy for combination of knowledge bases. The combined hierarchy of all 3 resources contains 623 relations.

Check our CODS-COMAD for complete details.

Example

Relation Hierarchy is created by finding taxonomical (is-a) relation between the relations.
Each path from root node to leaf node has following nodes:

  • rel
  • source_entity_type
  • source_entity_type - target_entity_type
  • [... ancestor_relations_node(s)] (if any)
  • relation

Below is a sample from Relation Hierarchy,

rel.per.per-per.relative.parent.father


Hierarchy Visualisation

Visualisation of all the relation hierarchies is available at this portal.

Note: Certain Browsers may fail to display the hierarchical Tree due to CORS policy.In that case go to this link,select "Request temporary access to demo server" and try again.

Statistics

Table below shows basic statistics of three individual hierarchies Hi (Wikipedia Infobox), Hd (DBpedia), Hw (Wikidata), and the common hierarchy H.

Relation Count Relation @d=3 Relation @d=4 Relation @d=5
H 623 357 247 19
Hi 351 177 168 6
Hd 282 162 110 10
Hw 267 209 52 6


Figure (left) below shows the distribution of relations from different resources in each of the 9 buckets. And Figure (right) shows the number of relation in each bucket in the combined relation hierarchy.


Usage

Relation hierarchy was created with aim to advance the reseach on hierarchical relation learning. We are using this hierarchy to create new resource for relation learning. To get started you can go through our work on Relation-Hierarchy.

Download all list the relations, and their mapping with KB relations. [relation-hierarchy.zip]

Download all DBpedia tuples aligned with relation hierarchy. [DBpedia-tuples.zip] [Size: compressed(64 MB), uncompressed(353 MB)] [Number of Tuples: 5.5 Millions]

Download all Wikidata tuples aligned with relation hierarchy. [wikidata-tuples.zip] [Size: compressed(166 MB), uncompressed(1 GB)] [Number of Tuples: 15 Millions]

Citations

Please cite the following paper if you use this website for research

  @incollection{parekh2020taxonomical,   title={Taxonomical hierarchy of canonicalized relations from  multiple Knowledge Bases},
  author={Parekh, Akshay and Anand, Ashish and Awekar, Amit},
  booktitle={Proceedings of the 7th ACM IKDD CoDS and 25th COMAD},
  pages={200--203},
  year={2020}

Team

Mentors
  • Dr. Ashish Anand, Associate Professor, Dept of CSE

  • Dr. Amit Awekar, Assistant Professor,Dept of CSE


Research Scholars
  • Akshay Parekh, Ph.D., Dept of CSE

Interns
  • Sayak Dutta, BTech, CSE

  • Pranav Gupta, BTech, CSE

  • Umang, BTech, CSE

  • Aman Kumar, BTech, Physics

Contact us

If you have any questions please contact us at

  akshayparakh@iitg.ac.in

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