Os fatores que inviabilizam e impedem a difusão do Linked Data no âmbito empresarial: uma revisão da literatura

  • Murilo Silveira Gomes Universidade Federal de Santa Catarina - Laboratório de engenharia do conhecimento
  • Lidiane Visintin Universidade Federal de Santa Catarina - Laboratório de engenharia do conhecimento
  • Fernando A. O. Gauthier Universidade Federal de Santa Catarina - Laboratório de engenharia do conhecimento

Resumo

As empresas necessitam estar atentas as mudanças no cenário mundial, para que possam responder rapidamente as mudanças de mercado. Para isso, a Web contribuiu possibilitando dinamismo, impactando com isso em um aumento significativo no volume de dados, que podem ser explorados, com o intuito de se obter benefícios. O Linked Enterprise Data é um conceito que viabiliza um formato de dados que pode auxiliar os gestores na tomada de decisão, oportunizando explorar dados internos e externos a empresa. Este estudo tem por objetivo identificar quais os fatores que viabilizam e os aspectos que impedem a difusão de dados conectados no âmbito empresarial. Através deste estudo identificou-se os fatores que viabilizam a difusão do LED, destacando-se a interoperabilidade, assim como foram identificados os fatores de impedem a difusão, destacando: cultura organizacional e a qualidade de dados. Com isso, concluiu-se que o conceito de LED ainda é recente e confuso, no entanto, é perceptível o benefício que pode ser obter ao utilizar das tecnologias semânticas e do conceito de dados conectados para a extração de conhecimento auxiliado a tomada de decisão.

Referências

ANTIDOT (França). Enterprise Data Principles, uses and benefits. 2012. Disponível em: <http://www.antidot.net/wp-content/uploads/2012/11/LinkedEnterpriseData-WP-en-v2.2.pdf>. Acesso em: 03 ago. 2017

BADRA, Fadi; SERVANT, François-Paul; PASSANT, Alexandre. A semantic web representation of a product range specification based on constraint satisfaction problem in the automotive industry. In: Proceedings of the 1st International Workshop on Ontology and Semantic Web for Manufacturing, Heraklion, Crete, Greece. 2011. p. 37-50.

BAUMEISTER, Joachim et al. Linked Data City-Visualization of Linked Enterprise Data. In: LWDA. 2016. p. 145-152.

BERNERS-LEE, Tim. The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Scientific American, v. 284, n. 5, p. 34-43, 2001.

BIANCHINI, Devis; DE ANTONELLIS, Valeria; MELCHIORI, Michele. A linked data perspective for collaboration in mashup development. In: Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on. IEEE, 2013. p. 128-132.

BIZER, Christian; HEATH, Tom; BERNERS-LEE, Tim. Linked data-the story so far. Semantic services, interoperability and web applications: emerging concepts, p. 205-227, 2009.

BLUMAUER, Andreas. SKOS as a Key Element in Enterprise Linked Data Strategies. In: International Semantic Web Conference (Industry Track). 2014.

FREITAS, André et al. Querying linked data graphs using semantic relatedness: A vocabulary independent approach. Data & Knowledge Engineering, v. 88, p. 126-141, 2013.

GALKIN, Mikhail et al. Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems. Proceedings Of The 19th International Conference On Enterprise Information Systems, [s.l.], p.88-99, out. 2017. SCITEPRESS - Science and Technology Publications. http://dx.doi.org/10.5220/0006325200880098. Disponível em: <https://www.researchgate.net/publication/316190720_Enterprise_Knowledge_Graphs_A_Semantic_Approach_for_Knowledge_Management_in_the_Next_Generation_of_Enterprise_Information_Systems>. Acesso em: 01 dez. 2017.

GALKIN, Mikhail et al. Integration strategies for enterprise knowledge graphs. In: Semantic Computing (ICSC), 2016 IEEE Tenth International Conference on. IEEE, 2016. p. 242-245.

GALKIN, Mikhail; AUER, Sören; SCERRI, Simon. Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data. In: Web Intelligence (WI), 2016 IEEE/WIC/ACM International Conference on. IEEE, 2016. p. 497-502.

GLACHS, Dietmar; SCHAFFERT, Sebastian; BAUER, Christoph. Interlinking Media Archives with the Web of Data. In: I-SEMANTICS (Posters & Demos). 2012. p. 17-21.

GOMES, Murilo Silveira. Proposta de Arquitetura Para Ecossistema de Inovação Em Dados Abertos.2017. 104 f. Dissertação (Mestrado) - Curso de Engenharia e Gestão do Conhecimento, Centro Tecnológico, Universidade Federal de Santa Catarina, Florianópolis, 2017. Disponível em: <http://btd.egc.ufsc.br/wp-content/uploads/2017/04/Murilo-Gomes.pdf>. Acesso em: 05 ago. 2017.

GRAUBE, Markus et al. Flexibility vs. security in linked enterprise data access control graphs. In: Information Assurance and Security (IAS), 2013 9th International Conference on. IEEE, 2013. p. 13-18.

HILIA, Mohamed et al. Semantic Based Authorization Framework For Multi-Domain Collaborative Cloud Environments. Procedia Computer Science, v. 109, p. 718-724, 2017.

HU, Bo; SVENSSON, Glenn. A case study of linked enterprise data. The Semantic Web–ISWC 2010, p. 129-144, 2010.

LANGER, André; GAEDKE, Martin. FAME.Q -A formal approach to master Quality in Enterprise Linked Data. Proceedings Of The 15th International Conference Www/internet 2016, Mannheim, Germany, p.51-58, nov. 2016. Disponível em: <https://www.researchgate.net/publication/309672842_FAMEQ_-A_formal_approach_to_master_Quality_in_Enterprise_Linked_Data>. Acesso em: 20 nov. 2017.

LI, Hongqin; ZHAI, Jun. Constructing Investment Open Data of Chinese Listed Companies Based on Linked Data. In: Proceedings of the 17th International Digital Government Research Conference on Digital Government Research. ACM, 2016. p. 475-480.

LI, JianQiang et al. Exploiting semantic linkages among multiple sources for semantic information retrieval. Enterprise Information Systems, v. 8, n. 4, p. 464-489, 2014

MEEHAN, Alan et al. Mapping Representation based on Meta-data and SPIN for Localization Workflows. In: WaSABi-FEOSW@ ESWC. 2014.

MEIJER, Albert J.; CURTIN, Deirdre; HILLEBRANDT, Maarten. Open government: connecting vision and voice. International Review of Administrative Sciences, v. 78, n. 1, p. 10-29, 2012.

PASCHKE, Adrian. Provalets: Component-Based Mobile Agents as Microservices for Rule-Based Data Access, Processing and Analytics. Business & Information Systems Engineering, v. 58, n. 5, p. 329-340, 2016.

PINTO, Vitor Afonso; PARREIRAS, Fernando Silva. Enterprise linked data: A systematic mapping study. In: International Conference on Conceptual Modeling. Springer, Cham, 2014. p. 253-262.

RAO, Shreyas Suresh; NAYAK, Ashalatha. LinkED: A Novel Methodology for Publishing Linked Enterprise Data. Journal of computing and information technology, v. 25, n. 3, p. 191-209, 2017.

REHAGE, Gerald; JOPPEN, Robert; GAUSEMEIER, Jürgen. Perspective on the Design of a Knowledge-based System Embedding Linked Data for Process Planning. Procedia Technology, v. 26, p. 267-276, 2016.

RITTER, Daniel. Towards a business network management. In: Enterprise Information Systems of the Future. Springer, Berlin, Heidelberg, 2013. p. 149-156.

TANEJA, Kunal et al. Linked enterprise data model and its use in real time analytics and context-driven data discovery. In: Mobile Services (MS), 2015 IEEE International Conference on. IEEE, 2015. p. 277-283.

WEICHSELBRAUN, Albert; STREIFF, Daniel; SCHARL, Arno. Linked enterprise data for fine grained named entity linking and web intelligence. In: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14). ACM, 2014. p. 13.

WURZER, Jörg. Building a Bridge between Information and Process Management. In: International Conference on Business Process Management. Springer, Berlin, Heidelberg, 2011. p. 318-319.

Publicado
2018-10-15