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LogMap: An Ontology Alignment and Alignment Repair System

Highlights (Updated November 2024):

  1. LogMap was awarded the SWSA Ten-Year Award that recognizes the highest impact papers from the International Semantic Web Conference (ISWC) proceedings ten years prior. LogMap reached >700 citations according to Google Scholar!
  2. Check out...
    • OWL2Vec4OA embedings for Ontology Alignment (PDF) (Slides) (GitHub)
    • The new extension based on OWL2Vec* to integrate machine leaning techniques within the ontology alignment task here.
    • The new material about the division of the ontology alignment task here.
    • A proof-of-concept interface to offer LogMap as a service: KGAS documentation and codes (old web-interface is not functional but we are trying to build a new one).
    • The new interface with the MELT platform here.
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About

LogMap is a highly scalable ontology matching system with ‘built-in’ reasoning and inconsistency repair capabilities. LogMap extract mappings between classes, properties and instances.

To the best of our knowledge, LogMap is one of the few matching systems that:

  1. can efficiently match semantically rich ontologies containing tens (and even hundreds) of thousands of classes,

  2. incorporates sophisticated reasoning and repair techniques to minimise the number of logical inconsistencies, and

  3. provides support for user intervention during the matching process (see Web interface).

Please refer to the Ontology Alignment Evaluation Initiative (OAEI) for official results about LogMap.

Downloading and Development

Development requires a clone of this git repository. You can use the pre-configured Eclipse (Maven) project. Dependencies are automatically downloaded with the exception of google translate which needs to be manually added to the maven local repository (see lib/readme_mvn_install_google_translate.txt).

LogMap relies on the OWL API 4. There is a (non-maintained) branch that uses the OWL API 3

To generate a JAR file for LogMap from the command line using Maven, run: mvn package or mvn clean install. This will also generate a folder java-dependencies with all the necessary libraries. This folder together with the parameters.txt file should be placed in the same path as the generated "logmap-matcher.jar" file.

Releases and packages:

Using LogMap

LogMap accepts the same ontology formats as the OWL API: e.g., RDF/XML, OWL/XML, OWL Functional, OBO, KRSS, and Turtle (n3).

As an Ontology Matching System

LogMap can be used from the command line with the standalone distribution or directly from its Web interface.

LogMap can also be easily integrated in other Java applications. See wiki for additional information.

OAEI: For the OAEI campaign, since 2021, LogMap implements an interface to communicate with the MELT platform. See wrapping here.

LogMap-ML: Recent research to augment LogMap with semantic embeddings and distant supervision. See details here (under development).

As a Mapping Debugging System

LogMap can also be used as a mapping debugging system from the command line (standalone distribution) or integrated in a Java application. See wiki for additional information.

We have also implemented a variant of LogMap to minimize the violations of the conservativity principle. Check details here.

Division of the Ontology Alignment Task

LogMap also includes a novel module to divide the ontology alignment task into manageable subtasks.

Resources: source classes, test classes, neural embeddings, datasets, paper, slides, video slides

Contact

Ernesto Jiménez-Ruiz (ernesto [.] jimenez [.] ruiz [at] gmail.com)

Follow us in twitter.

Please report any issue related to LogMap in our <a href="https://groups.google.com/forum/#!forum/logmap-matcher-discussion" target="_blank">discussion group</a> or in our <a href="https://github.com/ernestojimenezruiz/logmap-matcher/issues" target="_blank">issue tracker</a>.

Main Publications

Matching System

Combination with Machine Learning

Repair

Division Matching Task

Evaluation

Applications

Additional list of LogMap-related publications.

Acknowledgements

LogMap was originally designed and developed in the Knowledge Representation and Reasoning group at the Department of Computer Science of the University of Oxford by Ernesto Jiménez-Ruiz, Bernardo Cuenca Grau and Ian Horrocks. LogMap is currently maintained by Ernesto Jiménez-Ruiz at the Department of Computer Science (City, University of London]).

Development has been supported by The Royal Society, the EPSRC project LogMap, the EU FP7 projects SEALS and Optique, the AIDA project, and the SIRIUS Centre for Scalable Data Access.

We would like to thank Jiaoyan Chen, Alessandro Solimando, Valerie Cross, Anton Morant, Yujiao Zhou, Weiguo Xia, Xi Chen, Yuan Gong, Shuo Zhang and Rob Upson, who have also contributed to the LogMap project.

We also thank the organisers of the OAEI evaluation campaigns for providing test data and infrastructure.

License

Copyright 2022 Department of Computer Science (University of Oxford) and Department of Computer Science (City, University of London)

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.