it can be seen that the ALIN runtime has decreased considerably with the use of the HESML API instead of the WS4J API. In the Anatomy interactive track of OAEI 2016, ALIN did not

Regarding the Conference track, as ALIN evaluates only the properties associated with classes already evaluated as belonging to the alignment, the alignment of the M2 type (which

As Alin selects through semantic and lexical metrics many of the mappings that the domain expert evalu- ates, we hope that the standardization of the concept names will improve

Interactive Anatomy Track In this track, ALIN has had a decrease in the number of expert interactions and an increase in the quality of the generated alignment, showing that the

– ALIN inserts into the set of mapping suggestions, data property (like [10]) and object property mappings related to the accepted class mappings.. – ALIN moves from the backup set

This consequence of quasiregularity is usually proved via the funda- mental fact that quasiregular mappings are free extremals for certain variational integrals;

Creemos que el hecho de presentar de esta manera a los grandes nombres literarios podría hacer que los alumnos se interesaran por ellos y que por sí mismos se acercaran a sus obras,

During our first participation in the OAEI cam- paign, POMap succeeded to be one of the top three performing systems in the Anatomy track.. In the remaining of this paper, we

Extensional matcher In many situation, to-be-matched ontologies provide data (in- stances), therefore, the aim of Extensional module is to discover new mappings which are complement

Especially in the Anatomy and Large Biomedical Ontologies tracks GOMMA’s techniques such as composition- based matching, parallel matching and blocking showed to be valuable for

In test 202, although the identifiers of the entities were replaced by random strings and their labels and comments suppressed, ASMOV was still able to leverage other

Zhishi.links we proposed here is an efficient and flexible instance matching system, which utilizes distributed framework to index and process semantic resources, and uses

The similar neighbors filter uses the instance alignment (generated by the previous string processing step) to count for each instance correspondence how many resources or literals

The interactions among different textual information are taken into considera- tion, which allows instances to be fine-grained divided. It also has the ability to infer indexes

SANOM is also competitive with LogMap on the anatomy track, which is the best performing system in this track with no usage of particular biomedical background knowledge.. SANOM

Some parameters are tuned and set in the experiments. We also define MF factor threshold as 0.9 to determine whether use WordNet based strategy instead of

ASE (Aligning Smart Entities) is an automated ontology alignment tool based on AUTOMSv2 tool (http://ai-lab-webserver.aegean.gr/kotis/AUTOMSv2), a baseline tool we have

Eff2Match takes as input the URI of a pair of ontologies to be aligned and matches entities (concepts or properties) in the source ontology to those in the target ontology...