Work Out the Semantic Web Search : The Cooperative Way

المؤلفون المشاركون

Rodrigues, Irene Pimenta
Melo, Dora
Nogueira, Vitor Beires

المصدر

Advances in Artificial Intelligence

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-08-02

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب
علوم

الملخص EN

We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions.

Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user.

The natural language question is translated into its semantic representation and then answered by consulting the semantics sources of information.

The system is able to clarify the problems of ambiguity and helps finding the path to the correct answer.

If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clarified answer to the user.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Melo, Dora& Rodrigues, Irene Pimenta& Nogueira, Vitor Beires. 2012. Work Out the Semantic Web Search : The Cooperative Way. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-504700

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Melo, Dora…[et al.]. Work Out the Semantic Web Search : The Cooperative Way. Advances in Artificial Intelligence No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-504700

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Melo, Dora& Rodrigues, Irene Pimenta& Nogueira, Vitor Beires. Work Out the Semantic Web Search : The Cooperative Way. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-504700

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-504700