The Entity Resolution Process
Entity Resolution and Data Fusion:
... the Entity Resolution and Data Fusion tasks are often consid- ered consecutive and independent of each other: the output of the first step is used as input of the second ...the Entity ...
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Graph based Approaches for Organization Entity Resolution in MapReduce
... hole entity begins to pull an inordinate amount of records from an increasing num- ber of different true entities into it as it is ...this process until the sizes of all the connected components are below ...
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An Effective Method for Entity Resolution by Query Driven Approach
... In this paper, we presented and propelled an incremental and inquiry driven Entity Resolution process, indicated Quid. We likewise exhibited the fundamental parts of Quid and some critical ...
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An Entity Resolution Approach to Isolate Instances of Human Trafficking Online
... perform entity resolution using a heuristically learned match ...the entity resolution process, we are able to gen- erate larger, more robust amount of training data which is immune to ...
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Cross document named entity coreference resolution for Dutch as a pre process for named entity based text mining
... same entity, a string-distance based method might perform ...same entity will not be found by this kind of ...co-reference resolution work with the assumption that this does not (or rarely) occur ...
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Coreference Resolution with Entity Equalization
... Our coreference model relies on input representa- tions for each input token. Lee et al. (2018) used the ELMo context-dependent embeddings for this purpose. Here we propose to use the more recent BERT embeddings (Devlin ...
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Multi source entity resolution
... use entity resolution during the integration process in order to find those items that refer to the same ...perform entity resolution after the integration process in the sense ...
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Big Data Entity Resolution:
... Di entity collections, while AtC is suitable for Cl ...the process of AtC requires a similarity function; we use Jaccard similarity over the set of trigrams from the values (similar to ...
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Entity Resolution in Big Data
... 5.1.2 DATASET 2 Figure 12: Picture of Dataset 2 Dataset 2 is created base on a real big dataset called CiteseerX. The original dataset is large with the size of 7.6 GB and also in XML format. It is bigger than original ...
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Learning-based Entity Resolution with MapReduce
... Each process can execute only one task at a ...released process using a framework-specific scheduling ...map process runs two map tasks and the three reduce tasks are eventually assigned to two ...
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Semantic-aware blocking for entity resolution
... using locality-sensitive hashing (LSH) techniques, which efficiently unifies both textual and semantic features into an ER blocking process. In order to understand how similarity metrics may affect the ...
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Indexing techniques for real-time entity resolution
... Figure 8.6 shows the recall and the MRR values that are measured when building the F-DySNI using both BKs that are selected by our proposed learning algorithm and by the FDJ algorithm. The results from the left plot if ...
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Load Balancing for MapReduce-based Entity Resolution
... matching process with load ...matching entity pairs within its ...because entity resolution requires that all entities within the same block are compared with each ...
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Load Balancing for MapReduce-based Entity Resolution
... matching process with load ...matching entity pairs within its ...because entity resolution requires that all entities within the same block are compared with each ...
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A Survey On Entity Resolution by Query Driven Approach
... In this paper, we propose a Query-Driven and Incremental process for Entity Resolution (QuID). The QuID procedure considers question comes about on various information sources. It is an incremental ...
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A Survey on Entity Resolution by Query Driven Approach
... Keywords: Query-driven approach, QDA, query- aware, entity resolution, SQL selection queries. 1 Introduction Organizations and administrative associations around the globe distribute a colossal volume of ...
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Software Process Modeling: Principles of Entity Process Models
... software process models is that they do not accurately represent the behavioral (or timing) aspects of what is really done (criterion ...traditional process models are extremely sensitive to task sequence; ...
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Human-Powered Blocking in Entity Resolution: A Feasibility Study
... In recent years, human-powered ER solutions have been proposed so that challenging ER tasks, that machines cannot do well, can be helped by human workers. While successful in achieving high matching accuracy, existing ...
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Lexicon Infused Phrase Embeddings for Named Entity Resolution
... This process produces a hierarchical clus- tering of the word types in the corpus, and these clusterings have been found useful in many appli- cations (Ratinov and Roth, 2009; Koo et ...
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Crowdsourcing Entity Resolution: a Short Overview and Open Issues
... The number of HITs is significantly effected by the label- ing order because of applying transitive relations for crowd- sourcing ER, i.e. in their work Vesdapunt et al. suggest to first ask crowds questions for real ...
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