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Large-scale semantic integration of linked data: A survey
A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …
currently available and this number grows rapidly. However, the major target of Linked Data …
The WDC training dataset and gold standard for large-scale product matching
A current research question in the area of entity resolution (also called link discovery or
duplicate detection) is whether and in which cases embeddings and deep neural network …
duplicate detection) is whether and in which cases embeddings and deep neural network …
The webdatacommons microdata, rdfa and microformat dataset series
In order to support web applications to understand the content of HTML pages an increasing
number of websites have started to annotate structured data within their pages using markup …
number of websites have started to annotate structured data within their pages using markup …
A machine learning approach for product matching and categorization
Consumers today have the option to purchase products from thousands of e-shops.
However, the completeness of the product specifications and the taxonomies used for …
However, the completeness of the product specifications and the taxonomies used for …
Extracting attribute-value pairs from product specifications on the web
Comparison shop** portals integrate product offers from large numbers of e-shops in
order to support consumers in their buying decisions. Product offers often consist of a title …
order to support consumers in their buying decisions. Product offers often consist of a title …
Heuristics for Fixing Common Errors in Deployed schema.org Microdata
Being promoted by major search engines such as Google, Yahoo!, Bing, and Yandex,
Microdata embedded in web pages, especially using schema. org, has become one of the …
Microdata embedded in web pages, especially using schema. org, has become one of the …
The WDC gold standards for product feature extraction and product matching
Finding out which e-shops offer a specific product is a central challenge for building
integrated product catalogs and comparison shop** portals. Determining whether two …
integrated product catalogs and comparison shop** portals. Determining whether two …
Enriching product ads with metadata from html annotations
Product ads are a popular form of search advertizing offered by major search engines,
including Yahoo, Google and Bing. Unlike traditional search ads, product ads include …
including Yahoo, Google and Bing. Unlike traditional search ads, product ads include …
Using the semantic web as a source of training data
Deep neural networks are increasingly used for tasks such as entity resolution, sentiment
analysis, and information extraction. As the methods are rather training data hungry, it is …
analysis, and information extraction. As the methods are rather training data hungry, it is …
An incremental hierarchical clustering based system for record linkage in E-Commerce domain
In this study, a novel record linkage system for E-commerce products is presented. Our
system aims to cluster the same products that are crawled from different E-commerce …
system aims to cluster the same products that are crawled from different E-commerce …