Development of Web Service for Japanese Text Tripl

Authors: Takahiro Kawamura Akihiko Ohsuga

Publish Date: 2016/11/03

Volume: 34, Issue: 4, Pages: 307-322

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Abstract

Linked Open Data LOD is recently attracting attention as a vast amount of distributed knowledge base on the Web Thus semistructured data such as tables and hierarchical data in several domains have been triplified to the LOD Moreover triplification of unstructured data such as text and sensor data is actively studied in the research area We thus developed a Web API for extracting triples from natural sentences which is useful for the promotion of the LOD In this paper we first describe the service specification its technical background and the evaluation of the current extraction accuracy and then introduce several use cases of the service Although this service adopts a novel combination of a method using ontologybased rules and a machine learning method using Conditional Random Field based on a probability distribution the main contributions are in the practical aspect that is mashup of several natural language processing NLP techniques for the text triplification and its deployment as a public Web API so that nonexperts of NLP can easily use it

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