CHIS: A big data infrastructure to manage digital cultural items

Abstract In this paper, we describe CHIS ( Cultural Heritage Information System ), a big data infrastructure that can be used to query, browse, analyze and process digital contents related to cultural heritage from a set of heterogeneous and distributed repositories. CHIS is characterized by the following technical features: capability to gather information from distributed and heterogeneous data sources (e.g., Sensor Networks, Social Media Networks, Digital Libraries and Archives, Multimedia Collections, Web Data Services, etc.); advanced data management techniques and technologies; ability to provide useful and personalized data to users based on their preferences and context; advanced information retrieval facilities, data analytics and other utilities/services, according to the SOA paradigm. By means of a set of ad-hoc APIs, and value-added data processing and analytics services, our system can support several applications: mobile multimedia guides for cultural environments, web portals to promote the cultural heritage of a given organization, multimedia recommender and storytelling systems and so on. We discuss the main ideas that characterize the system, showing its use for several applications.

[1]  Vijay Varadharajan,et al.  Wireless sensor network key management survey and taxonomy , 2010, J. Netw. Comput. Appl..

[2]  Flora Amato,et al.  Ensuring Semantic Interoperability for e-Health Applications , 2011, 2011 International Conference on Complex, Intelligent, and Software Intensive Systems.

[3]  Davide Anguita,et al.  Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf , 2015, INNS Conference on Big Data.

[4]  Hans Schaffers,et al.  Developing a Policy Roadmap for Smart Cities and the Future Internet , 2011 .

[5]  Michael L. Brodie,et al.  The meaningful use of big data: four perspectives -- four challenges , 2012, SGMD.

[6]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[7]  Lior Rokach,et al.  Introduction to Recommender Systems Handbook , 2011, Recommender Systems Handbook.

[8]  Carlo Zaniolo,et al.  Data Streams and Data Stream Management Systems and Languages , 2015, Data Management in Pervasive Systems.

[9]  Hans Schaffers,et al.  Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation , 2011, Future Internet Assembly.

[10]  Rudy L. Ruggles,et al.  Knowledge Management Tools , 1996 .

[11]  Letizia Tanca,et al.  PATCH: A Portable Context-Aware ATlas for Browsing Cultural Heritage , 2015, Data Management in Pervasive Systems.

[12]  Mariana Damova,et al.  Creation and Integration of Reference Ontologies for Efficient LOD Management , 2012 .

[13]  R. Doyle The American terrorist. , 2001, Scientific American.

[14]  Alessandro Margara,et al.  The Complex Event Processing Paradigm , 2015, Data Management in Pervasive Systems.

[15]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[16]  Michael R. Souryal,et al.  RFID-based localization and tracking technologies , 2011, IEEE Wireless Communications.

[17]  Luming Tan,et al.  Future internet: The Internet of Things , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[18]  Flora Amato,et al.  Semantic processing of multimedia data for e-government applications , 2016, J. Vis. Lang. Comput..

[19]  Jameela Al-Jaroodi,et al.  A survey on service-oriented middleware for wireless sensor networks , 2001, Service Oriented Computing and Applications.

[20]  Divesh Srivastava,et al.  Big data integration , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).

[21]  C. L. Philip Chen,et al.  Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..

[22]  Vincenzo Moscato,et al.  A collaborative user-centered framework for recommending items in Online Social Networks , 2015, Comput. Hum. Behav..

[23]  Ck Cheng,et al.  The Age of Big Data , 2015 .

[24]  Luis A. Hernández Gómez,et al.  Smart Cities at the Forefront of the Future Internet , 2011, Future Internet Assembly.

[25]  Vineet R. Kamat,et al.  Evaluation of position tracking technologies for user localization in indoor construction environments , 2009 .

[26]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[27]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[28]  Letizia Tanca,et al.  Pervasive Systems Architecture and the Main Related Technologies , 2015, Data Management in Pervasive Systems.

[29]  Carlo Curino,et al.  Apache Hadoop YARN: yet another resource negotiator , 2013, SoCC.

[30]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[31]  Frank Dürr,et al.  On location models for ubiquitous computing , 2004, Personal and Ubiquitous Computing.

[32]  Flora Amato,et al.  Multimedia Social Network Modeling: A Proposal , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

[33]  Flora Amato,et al.  Building RDF Ontologies from Semi-Structured Legal Documents , 2008, 2008 International Conference on Complex, Intelligent and Software Intensive Systems.

[34]  Ilaria Bartolini,et al.  Multimedia Queries in Digital Libraries , 2015, Data Management in Pervasive Systems.

[35]  John Scott What is social network analysis , 2010 .

[36]  Scott Shenker,et al.  Spark: Cluster Computing with Working Sets , 2010, HotCloud.

[37]  F. Schreiber,et al.  PerLa: A Language and Middleware Architecture for Data Management and Integration in Pervasive Information Systems , 2012, IEEE Transactions on Software Engineering.

[38]  Sachchidanand Singh,et al.  Big Data analytics , 2012 .

[39]  Joel J. P. C. Rodrigues,et al.  A survey on IP-based wireless sensor network solutions , 2010 .

[40]  Katerina Kabassi Personalisation Systems for Cultural Tourism , 2013 .