An Ontology Matching Approach Based on Affinity-Preserving Random Walks
Authors: Chuncheng Xiang, Baobao Chang, Zhifang Sui
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on the Ontology Alignment Evaluation Initiative (OAEI1) datasets show that our approach achieves a competitive performance when compared with state-of-the-art systems, even though our approach does not utilize any external resources. To evaluate the effectiveness of our approach, we conduct experiments on the public datasets published in the OAEI campaign. The experimental results show that our matching approach achieves a competitive performance when compared with the state-of-the-art systems. |
| Researcher Affiliation | Academia | Chuncheng Xiang, Baobao Chang, Zhifang Sui Key Laboratory of Computational Linguistics, Ministry of Education School of Electronics Engineering and Computer Science, Peking University Collaborative Innovation Center for Language Ability, Xuzhou 221009 China {ccxiang,chbb,szf}@pku.edu.cn |
| Pseudocode | Yes | Algorithm 1: Computing the weights of Erw; Algorithm 2: MORW for Ontology Matching |
| Open Source Code | No | The paper does not provide concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described in this paper. |
| Open Datasets | Yes | Because the annual OAEI (Ontology Alignment Evaluation Initiative) campaign has become an authoritative contest in the area of ontology matching, we use the datasets from OAEI to evaluate our proposed approach. All of the ontologies in the dataset are described in OWL-DL language. Development dataset: the Standard Benchmark 2012 dataset, which OAEI provides for participants to develop their systems before entering the competition, is used as the development dataset in our experiments. This dataset contains one reference ontology and 109 target ontologies. We use this dataset to set the parameters in our approaches. OAEI: http://oaei.ontologymatching.org/ |
| Dataset Splits | Yes | Development dataset: the Standard Benchmark 2012 dataset, which OAEI provides for participants to develop their systems before entering the competition, is used as the development dataset in our experiments. This dataset contains one reference ontology and 109 target ontologies. We use this dataset to set the parameters in our approaches. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper mentions 'OWL-DL language' for ontologies, but this refers to a format, not a software dependency with a version number. It does not list any specific software libraries, frameworks, or tools with version numbers required to replicate the experiment. |
| Experiment Setup | Yes | The final settings of our approach are as follows: The maximum number of iteration M is 300, the number of starting iteration B is 50, the mapping-oriented factor α is 0.7, and the minimum error ε is 1E-60. |