30 research outputs found

    ALOD2vec matcher results for OAEI 2021

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    This paper presents the results of the ALOD2vec Matcher in the Ontology Alignment Evaluation Initiative (OAEI) 2021. The matching system exploits a Web-scale dataset, i.e. WebIsALOD, as background knowledge source. In order to make use of the dataset, the RDF2vec approach is applied to derive embeddings for each concept available in the dataset. ALOD2vec Matcher participated in the OAEI 2018 and 2020 campaigns before. This is the system’s third participation

    ALOD2Vec Matcher results for OAEI 2020

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    This paper presents the results of the ALOD2Vec Matcher in the Ontology Alignment Evaluation Initiative(OAEI) 2020. The matching system exploits a Web-scale dataset, i.e.WebIsALOD, as background knowledge source. In order to make use of the dataset, the RDF2Vec approach is applied to derive embeddings for each concept available in the dataset. ALOD2Vec Matcher participated in the OAEI 2018 campaign before. This is the system’s second participation. The matching system has been extended, improved, and achieves better results this year

    Wiktionary matcher results for OAEI 2020

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    This paper presents the results of the Wiktionary Matcher in the Ontology Alignment Evaluation Initiative(OAEI) 2020.Wiktionary Matcher is an ontology matching tool that exploits Wiktionary as external background knowledge source. Wiktionary is a large lexical knowledge resource that is collaboratively built online. Multiple current language versions of Wiktionary are merged and used for monolingual ontology matching by exploiting synonymy relations and for multilingual matching by exploiting the translations given in the resource. This is the second OAEI participation of the matching system. Wiktionary Matcher has been improved and is the best performing system on the knowledge graph track this year

    Proceedings of the 15th ISWC workshop on Ontology Matching (OM 2020)

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    15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020)International audienc

    ATBox results for OAEI 2020

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    ATBox matcher is a scalable system for instance (Abox) and schema (Tbox) matching. It uses two pipelines for generating candidates for the schema and instance matching, and utilizes the schema matches to further improve the instance correspondences. Using a string blocking method, ATBox is able to align large ontologies and can run on OAEI tracks like largebio and knowledge graph. The results look promising, but further features for better finding correct instance matches can be developed

    ATBox results for OAEI 2021

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    A hybrid approach for large knowledge graphs matching

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    Matching large and heterogeneous Knowledge Graphs (KGs) has been a challenge in the Semantic Web research community. This work highlights a number of limitations with current matching methods, such as: (1) they are highly dependent on string-based similarity measures, and (2) they are primarily built to handle well-formed ontologies. These features make them unsuitable for large, (semi-) automatically constructed KGs with hundreds of classes and millions of instances. Such KGs share a remarkable number of complementary facts, often described using different vocabulary. Inspired by the role of instances in large-scale KGs, we propose a hybrid matching approach. Our method composes an instance-based matcher that casts the schema matching process as a two-way text classification task by exploiting instances of KG classes, and a string-based matcher. Our method is domain-independent and is able to handle KG classes with unbalanced population. Our evaluation on a real-world KG dataset shows that our method obtains the highest recall and F1 over all OAEI 2020 participants

    Results of the Ontology Alignment Evaluation Initiative 2021

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    The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2021 campaign offered 13 tracks and was attended by 21 participants. This paper is an overall presentation of that campaig

    Automatic schema matching utilizing hypernymy relations extracted from the web

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    This thesis explores how a large corpus of Is-a statements can be exploited for the task of schema matching
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