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Authors: Ermelinda Oro and Massimo Ruffolo

Affiliation: National Research Council (CNR) and Technest University of Calabria, Italy

ISBN: 978-989-758-247-9

Keyword(s): Big Data, Data Integration, Web Extraction, Text Analysis, Text Processing, Social Network, Sentiment Analysis, Knowledge Extraction, Smart Tourism, Big Sport Event, Tennis Italian Open.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cloud Computing ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Semantic Web Technologies ; Services Science ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

Abstract: Big data generated across the web is assuming growing importance in producing insights useful to understand real-world phenomena and to make smarter decisions. The tourism is one of the leading growth sectors, therefore, methods and technologies that simplify and empower web contents gathering, processing, and analysis are becoming more and more important in this application area. In this paper, we present a web content analytics method that automates and simplifies content extraction and acquisition from many different web sources, like newspapers and social networks, accelerate content cleaning, analysis, and annotation, makes faster insights generation by visual exploration of analysis results. We, also, describe an application to a real-world use case regarding the analysis of the touristic impact of the Italian Open tennis tournament. Obtained results show that our method makes the analysis of news and social media posts more easy, agile, and effective.

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Paper citation in several formats:
Oro E. and Ruffolo M. (2017). A Method forWeb Content Extraction and Analysis in the Tourism Domain.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 365-370. DOI: 10.5220/0006371103650370

@conference{iceis17,
author={Ermelinda Oro and Massimo Ruffolo},
title={A Method forWeb Content Extraction and Analysis in the Tourism Domain},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={365-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006371103650370},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Method forWeb Content Extraction and Analysis in the Tourism Domain
SN - 978-989-758-247-9
AU - Oro E.
AU - Ruffolo M.
PY - 2017
SP - 365
EP - 370
DO - 10.5220/0006371103650370

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