PapersQ2
| Paper | Evaluation Dimensions | Evaluation Method | benchmarks | Venue | year | Venue |
|---|---|---|---|---|---|---|
| LogMap: Logic-based and Scalable Ontology Matching | Accuracy | Use four ontologies from OAEI 2010 benchmark, calculating the classification time for these ontologies. | OAEI 2010 | ISWC | 2011 | ISWC |
| A Probabilistic-Logical Framework for Ontology Matching | Accuracy | Average F1-values over the 21 OAEI reference alignments for manual weights vs. learned weights vs. formulation without stability constraints; thresholds range from 0.6 to 0.95. | Ontofarm dataset | AAAI | 2010 | AAAI |
| SLINT: A Schema-Independent Linked Data Interlinking System | Accuracy | Compare the system with AgreementMaker, SERIMI, and Zhishi.Links | LinkedMDB GeoNames | OM | 2012 | OM |
| AgreementMaker: Efficient Matching for Large Real-World Schemas and Ontologies | Accuracy | Compare the mappings found by the system between the two ontologies with a reference matching or “gold standard,” which is a set of correct and complete mappings as built by domain experts. | OAEI 2012 | VLDB | 2009 | VLDB |
| Zhishi.links Results for OAEI 2011 | Accuracy | Utilize distributed MapReduce framework to adopt index-based pre-matching | DBpedia Freebase GeoNames | OM | 2011 | OM |
| Discovering and Maintaining Links on the Web of Data | {{{Dimensions}}} | A methodology that proved useful for optimizing link specifications is to manually create a small reference linkset and then optimize the Silk linking specification to produce these reference links, before Silk is run against the complete target data source. | DBpedia DrugBank | ISWC | 2009 | ISWC |
| A Survey of Current Link Discovery Frameworks | {{{Dimensions}}} | - | - | Semantic Web Journal | 2017 | Semantic Web Journal |
| LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data | Performance | Compare LIMES with different numbers of exemplars on knowledge bases of different sizes. | DBpedia DrugBank LinkedCT MESH | 2011 | ||
| KnoFuss: A Comprehensive Architecture for Knowledge Fusion | - | - | - | K-CAP | 2007 | K-CAP |
| SERIMI – Resource Description Similarity, RDF Instance Matching and Interlinking | Accuracy | In order to evaluate the effectiveness of the proposed interlinking method, we used the precision, recall and F1 metrics. | DBpedia Sider DrugBank LinkedCT Dailymed Diseasome TCM | ArXiv | 2011 | ArXiv |
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