The use of infoboxes is neither required nor prohibited for any article.
For instance, books have information about the “Subject” and “Publisher” therefore, adding an infobox to articles on books makes it easier to quickly find such information and compare it with that of other articles (Figure 1). Wikipedia Infobox is a fixed-format table usually added to the top right-hand corner of articles to consistently summarize the articles’ unifying aspect and facilitate navigation to other related articles. Several attempts have been made to extract the unstructured and semi-structured data of Wikipedia and transform it into structured, and semantically enriched KBs simplify the effective use of the knowledge concealed in Wikipedia. Despite these shortcomings, Wikipedia attracts the information research community because its comprehensive data has a well-formed structure and hierarchical categorization. However, the limited search features of Wikipedia and the form in which its data is stored throws up many challenges for its use by humans and direct interpretation by machines. It has become a valuable and universal resource and hugely successful with its collaborative but curated content-creation model. Its English edition alone has around 6 million articles. Wikipedia is the go-to place for instant knowledge of everything under the sun. Wikipedia-the go-to place for instant knowledge Embedding semantics offers significant advantages such as reasoning over data and operating with heterogeneous data sources. Web technologies such as Resource Description Framework (RDF) and Web Ontology Languages (OWL) were developed to formally represent metadata describing concepts, relationships between entities, and categories of things. For the machines to interpret the data, data’s context and meaning or semantics aught be embedded. When Tim Bernes Lee proposed the Semantic Web idea to make the Internet data machine-readable, it caught the world’s attention (Berners-Lee et al., 2001). Sometimes big ideas catch attention, but it takes tremendous research and development (not to mention time) to make it happen.
Vrandečić recognized the need for humans and bots to share knowledge on more equal terms as computers lack common sense and language depends a lot on common sense. Denny Vrandečić, programmer and regular Wikipedia editor (now with Wikimedia Foundation), founded Wikidata in 2012. An army of volunteers maintains the knowledge base that serves an essential (though mostly unannounced) purpose as AI and voice recognition technologies expand to every corner of digital life.
Knowledge bases such as Wikidata represent everything in the universe in a way computers can understand. When you (or your kid) says “Hey Siri” or “Alexa,” ask a question and get your right (or wrong) answers, did you know that there are a host of technologies and knowledge bases behind it? Virtual assistants like Alexa, Siri, and others do their jobs better thanks to Wikidata, the not-so-well-known product of Wikipedia Foundation. Wikipedia Infoboxes: The Big Data Source for Knowledge Bases behind Alexa and Siri Virtual Assistants Shalini Urs and Mohamed Minhaj
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