Ontology matching tools




















Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. KitAMO is a tool for evaluating ontology alignment strategies and their combinations.

It supports the study, evaluation and comparison of alignment strategies and their combinations based on their performance and the quality of their alignments on test cases.

The linked open data enhancer LODE framework is a set of integrated tools that allow digital humanists, librarians, and information scientists to connect their data collections to the linked open data cloud. It can be applied to any domain with RDF datasets. LogMap can deal with semantically rich ontologies containing tens and even hundreds of thousands of classes. Map-On is a collaborative ontology mapping environment which supports different users —domain experts, data owners, and ontology engineers— to integrate data in a collaborative way using standard semantic technologies.

MapOnto is a research project aiming at discovering semantic mappings between different data models, e. So far, it has developed tools for discovering semantic mappings between database schemas and ontologies as well as between different database schemas. The Protege plug-in is still available, but appears to be for older versions. OntoM is one component of the OntoBuilder , which is a comprehensive ontology building and managing framework.

OntoM provides a choice of mapping and scoring methods for matching schema. OpenII Harmony is a schema matching tool that combines multiple language-based matching algorithms and a graphical user interface. OxO is a service for finding mappings or cross-references between terms from ontologies, vocabularies and coding standards. PARIS aligns not only instances, but also relations and classes.

Alignments at the instance level cross-fertilize with alignments at the schema level. Alignments at the instance level cross-fertilize with alignments at the schema level S-Match takes any two tree like structures such as database schemas, classifications, lightweight ontologies and returns a set of correspondences between those tree nodes which semantically correspond to one another ServOMap is an ontology matching tool based on Information Retrieval technique relying on the ServO system.

Data publishers can use Silk to set RDF links from their data sources to other data sources on the Web. See also the results. Code not apparently available. The links are stored in a model, called weaving model Chimaera is a software system that supports users in creating and maintaining distributed ontologies on the web. Two major functions it supports are merging multiple ontologies together and diagnosing individual or multiple ontologies ConcepTool is a system to model, analyse, verify, validate, share, combine, and reuse domain knowledge bases and ontologies, reasoning about their implication CMS CROSI Mapping System is a structure matching system that capitalizes on the rich semantics of the OWL constructs found in source ontologies and on its modular architecture that allows the system to consult external linguistic resources ConRef is a service discovery system which uses ontology mapping techniques to support different user vocabularies DRAGO reasons across multiple distributed ontologies interrelated by pairwise semantic mappings, with a vision of peer-to-peer mapping of many distributed ontologies on the Web.

It is implemented as an extension to an open source Pellet OWL Reasoner DSSim is an agent-based ontology matching framework; neither application nor source code appears to be available FOAM is the Framework for ontology alignment and mapping.

It is based on heuristics similarity of the individual entities concepts, relations, and instances HMatch is a tool for dynamically matching distributed ontologies at different levels of depth.

In particular, four different matching models are defined to span from surface to intensive matching, with the goal of providing a wide spectrum of metrics suited for dealing with many different matching scenarios that can be encountered in comparing concept descriptions of real ontologies IF-Map is an Information Flow based ontology mapping method.

It is based on the theoretical grounds of logic of distributed systems and provides an automated streamlined process for generating mappings between ontologies of the same domain LILY is a system matching heterogeneous ontologies. LILY extracts a semantic subgraph for each entity, then it uses both linguistic and structural information in semantic subgraphs to generate initial alignments. The system is presently in a demo version only MAFRA Toolkit — the Ontology MApping FRAmework Toolkit allows users to create semantic relations between two source and target ontologies, and apply such relations in translating source ontology instances into target ontology instances Malasco is an ontology matching system for matching large-scale OWL ontologies.

It can use different partitioning algorithms and existing matching tools myOntology is used to produce the theoretical foundations, and deployable technology for the Wiki-based, collaborative and community-driven development and maintenance of ontologies instance data and mappings OLA stands for OWL Lite Alignment.

This is the name of a method for computing alignments between two OWL non necessary Lite ontologies OntoEngine is a step toward allowing agents to communicate even though they use different formal languages i. Beside the Java platform it requires additional libraries and external data source that is WordNet 2. It relies on a similarity combining all the knowledge used in entity descriptions. It also deal with one-to-many relationships and circularity in entity descriptions through a fixpoint algorithm OWLS-MX is a hybrid semantic Web service matchmaker.

It applies different filters to retrieve OWL-S services that are most relevant to a given query Potluck is a Web-based user interface that lets casual users—those without programming skills and data modeling expertise—mash up data themselves. Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically.

The approach utilizes both linguistic and structural information of ontologies, and measures the profile similarity and structure similarity of different elements of ontologies in a vector space model VSM RiMOM Risk Minimization based Ontology Mapping integrates different alignment strategies: edit-distance based strategy, vector-similarity based strategy, path-similarity based strategy, background-knowledge based strategy, and three similarity-propagation based strategies SAMBO is a system that assists a user in aligning and merging two ontologies in OWL format.

The user performs an alignment process with the help of alignment suggestions proposed by the system. The system carries out the actual merging and derives the logical consequences of the merge operations semMF is a flexible framework for calculating semantic similarity between objects that are represented as arbitrary RDF graphs. The framework allows taxonomic and non-taxonomic concept matching techniques to be applied to selected object properties Snoggle is a graphical, SWRL-based ontology mapper.

Ontology matching is a promising solution to the semantic heterogeneity problem. It finds correspondences between semantically related entities of the ontologies. These correspondences can be used for various tasks, such as ontology merging, query answering, data translation, or for navigation on the semantic web.

Hagen, L. Aided 11 9 , — Malik, J. Luxburg, U. Mohar, B. Hu, W. Rahm, E. In: Schema Matching and Mapping, pp. Steorts, R. Download references. You can also search for this author in PubMed Google Scholar. Correspondence to Peter Ochieng. Reprints and Permissions. Ochieng, P. A statistically-based ontology matching tool.

Distrib Parallel Databases 36, — Download citation. Published : 11 September Issue Date : March



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