Inducing Schema.org markup from Natural Language Context

5 pages•Published: May 25, 2019

Gautam Kishore Shahi, Durgesh Nandini and Sushma Kumari

Abstract

Schema.org creates, supports and maintain schemas for structured data on the web pages. For a non-technical author, it is difficult to publish contents in a structured format. This work presents an automated way of inducing Schema.org markup from natural language context of web-pages by applying knowledge base creation technique. As a dataset, Web Data Commons was used, and the scope for the experimental part was limited to RDFa. The approach was implemented using the Knowledge Graph building techniques - Knowledge Vault and KnowMore.

Keyphrases: knowledge graph, rdfa, schema.org, semantic markup, structured data, web data commons

In: Christoph Benzmüller, Xavier Parent and Alexander Steen (editors). Selected Student Contributions and Workshop Papers of LuxLogAI 2018, vol 10, pages 38-42.

Links:	https://easychair.org/publications/paper/DXGr
	https://doi.org/10.29007/fvc9

BibTeX entry

@inproceedings{LuxLogAI2018:Inducing_Schema.org_markup_from,
  author    = {Gautam Kishore Shahi and Durgesh Nandini and Sushma Kumari},
  title     = {Inducing Schema.org markup from Natural Language Context},
  booktitle = {Selected Student Contributions and Workshop Papers of LuxLogAI 2018},
  editor    = {Christoph Benzmüller and Xavier Parent and Alexander Steen},
  series    = {Kalpa Publications in Computing},
  volume    = {10},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/DXGr},
  doi       = {10.29007/fvc9},
  pages     = {38-42},
  year      = {2019}}

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