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Erschienen in:
An Information System Supporting the Eliciting of Expert Knowledge for Successful IT Projects Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Metis: A Scalable Natural-Language-Based Intelligent Personal Assistant for Maritime Services

verfasst von : Nikolaos Gkanatsios, Konstantina Mermikli, Serafeim Katsikas

Erschienen in: Information and Software Technologies

Verlag: Springer International Publishing

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Abstract

We implement an intelligent personal conversational assistant, communicating in natural language and designed specifically for the maritime industry. A multi-stage message analysis is performed, first classifying the topic of the request and finally applying special parsers to extract the parameters needed to execute the task. Our system is scalable and robust, employing generic and efficient algorithms. Our contributions are manifold. First, we present a complex and multi-level natural-language-processing-based system, focused particularly on the maritime domain and incorporating expert knowledge of the field. Next, we introduce a series of algorithms that can extract deep information using the syntactic structure of the message. Lastly, we implement and evaluate our approach, testing and proving our system’s effectiveness and efficiency.

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Vorheriges Kapitel An Information System Supporting the Eliciting of Expert Knowledge for Successful IT Projects
Nächstes Kapitel Knowledge Acquisition Using Computer Simulation of a Manufacturing System for Preventive Maintenance
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Metadaten
Titel
Metis: A Scalable Natural-Language-Based Intelligent Personal Assistant for Maritime Services
verfasst von
Nikolaos Gkanatsios
Konstantina Mermikli
Serafeim Katsikas
Copyright-Jahr
2018
Buch
Information and Software Technologies

Print ISBN: 978-3-319-99971-5

Electronic ISBN: 978-3-319-99972-2

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-99972-2_2