Benchmarks

Dataset specifying the best configuration

	D1			D2			D3			D5			D8			D10
	Recall	Precision	F1	Recall	Precision	F1	Recall	Precision	F1	Recall	Precision	F1	Recall	Precision	F1	Recall	Precision	F1
D1	1.000	0.788	0.881	1.000	0.263	0.416	0.989	0.281	0.438	1.000	0.322	0.488	0.933	0.417	0.576	1.000	0.263	0.416
D2	0.000	0.000	0.000	0.942	0.952	0.947	0.695	0.798	0.743	0.851	0.922	0.885	0.270	0.997	0.424	0.746	0.853	0.796
D3	0.037	0.539	0.069	0.431	0.354	0.389	0.674	0.584	0.625	0.486	0.425	0.454	0.092	0.545	0.158	0.523	0.472	0.496
D4	0.000	0.000	0.000	0.808	0.794	0.801	0.920	0.702	0.796	0.931	0.844	0.886	0.038	0.961	0.072	0.845	0.659	0.741
D5	0.096	0.812	0.172	0.856	0.288	0.431	0.673	0.235	0.348	0.792	0.330	0.466	0.753	0.671	0.709	0.859	0.302	0.446
D6	0.000	0.000	0.000	0.000	0.000	0.000	0.474	0.748	0.580	0.805	0.924	0.860	0.014	0.970	0.028	0.858	0.940	0.897

Datasets specs

Dataset	E1	E2	Entities E1	Entities E2	Duplicates
D1	Restaurants 1	Restaurants 2	339	2,256	89
D2	Abt	Buy	1,076	1,076	1,076
D3	Amazon	Google Pr.	1,354	3,039	1,104
D4	IMDb	TMDb	5,118	6,056	1,968
D5	Walmart	Amazon	2,554	22,074	853
D6	IMDb	DBpedia	27,615	23,182	22,863

Configurations specifics

	Block Building	Blocking Cleaning		Comprison Cleaning		Entity Matching			Entity Clustering
		Method	Ratio	Pruning algorithm	Weighting Scheme	Algorithm	Representation Model	Similarity Function	Algorithm	Similarity Threshold
D1	Standard Blocking	Block Filtering	0.050	BLAST	ARCS	Profile Matcher	CHARACTER_BIGRAMS	COSINE_SIMILARITY	Unique Mapping Clustering	0.90
D2	Standard Blocking	Block Filtering	0.900	WEP	EJS	Profile Matcher	CHARACTER_TRIGRAMS_TF_IDF	ARCS_SIMILARITY	Unique Mapping Clustering	0.90
D3	Standard Blocking	Block Filtering	0.600	WNP	ARCS	Profile Matcher	TOKEN_BIGRAMS_TF_IDF	COSINE_SIMILARITY	Unique Mapping Clustering	0.05
D4	Standard Blocking	Block Filtering	0.925	CEP	ECBS	Profile Matcher	CHARACTER_FOURGRAMS_TF_IDF	ARCS_SIMILARITY	Unique Mapping Clustering	0.85
D5	Standard Blocking	Block Filtering	0.075	WEP	ARCS	Profile Matcher	CHARACTER_BIGRAMS_TF_IDF	COSINE_SIMILARITY	Unique Mapping Clustering	0.65
D6	Standard Blocking	Block Filtering	0.575	BLAST	X2	Profile Matcher	TOKEN_UNIGRAMS_TF_IDF	ARCS_SIMILARITY	Unique Mapping Clustering	0.25