JedAI: The Force Behind Entity Resolution
نویسندگان
چکیده
We present JedAI, a toolkit for Entity Resolution that can be used in three different ways: as an open-source Java library that implements numerous state-of-the-art, domain-independent methods, as a workbench that facilitates the evaluation of their relative performance and as a desktop application that offers out-of-the-box ER solutions. JedAI bridges the gap between the database and the Semantic Web communities, offering solutions that are applicable to both relational and RDF data. It also conveys a modular architecture that facilitates its extension with more methods and with more comprehensive workflows.
منابع مشابه
The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution
This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluation of the model’s performance should take into account the transitive closure of its pairwise lin...
متن کاملWhat Is The Driving Force Behind Industrial Development In Iran? Rent Seeking And Labor Exploitation As The Driving Force Of Industrial Growth
متن کامل
Corpus based coreference resolution for Farsi text
"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...
متن کاملHigh Resolution Image with Multi-wall Carbon Nanotube Atomic Force Microscopy Tip (RESEARCH NOTE)
In this paper, a simple and reproducible approach for attaching the multi-wall carbon nanotubes (MWNTs) to the apex of the atomic force microscope probe has been proposed. For this purpose, the dielectrophoresis method was applied due to its simple performance, cheapness and reliability. In this method, various parameters such as voltage, frequency, concentration of carbon nanotubes solution an...
متن کاملImprovement of Chemical Named Entity Recognition through Sentence-based Random Under-sampling and Classifier Combination
Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...
متن کامل