Tope Omitola
ABSTRACT
The new world of big data, of the LOD cloud, of the app economy, and of social media means that organisations no longer own, much less control, all the data they need to make the best informed business decisions. In this paper, we describe how we built a system using Linked Data principles to bring in data from Web 2.0 sites (LinkedIn, Salesforce), and other external business sites such as OpenCorporates, linking these together with pertinent internal British Telecommunications enterprise data into that enterprise data space. We describe the challenges faced during the implementation, which include sourcing the datasets, finding the appropriate "join points" from the individual datasets, as well as developing the client application used for data publication. We describe our solutions to these challenges and discuss the design decisions made. We conclude by drawing some general principles from this work.
- Nandana Mihindukulasooriya, Raul Garcia-Castro, Miguel Esteban Gutierrez: Linked Data Platform as a novel approach for Enterprise Application Integration. in "ISWC 2013 Workshop on Consuming Linked Data".Google Scholar
- Philipp Frischmuth, Jakub Klimek, Soren Auer, Sebastian Tramp, Jorg Unbehauen, Kai Holzweig, Carl-Martin Marquardt: Linked Data in Enterprise Information Integration. in "Semantic Web Journal, 2012".Google Scholar
- Chris Clarke and Fiona Greig: A Linked Open Data Resource List Management Tool for Undergraduate Students, June 2009, available at http://www.w3.org/2001/sw/sweo/public/UseCases/Talis/(April 2014).Google Scholar
- Timo Borst and Joachim Neubert: Publishing STW Thesaurus for Economics as Linked Open Data, June 2009, available at http://www.w3.org/2001/sw/sweo/public/UseCases/ZBW/(April 2014).Google Scholar
- Arnaud Le Hors and Steve Speicher: Open Services Lifecycle Collaboration framework based on Linked Data, November 2012, available at http://www.w3.org/2001/sw/sweo/public/UseCases/IBM/(April 2014).Google Scholar
- Agustina Buccella, Alejandra Cechich, Nieves R. Brisaboa: Ontology-Based Data Integration. in "Encyclopedia of Database Technologies and Applications 2005: 450--456".Google Scholar
- Michel Gagnon: Ontology-Based Integration of Data Sources. in "10th International Conference on Information Fusion, 2007".Google Scholar
- Natalia Antonioli, Francesco Castano, Cristina Civili, Spartaco Coletta, Stefano Grossi, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Domenico Fabio Savo, and Emanuela Virardi: Ontology-Based Data Access: The Experience at the Italian Department of Treasury. in "CAiSE Industrial Track, volume 1017 of CEUR Workshop Proceedings, page 9--16. CEUR-WS.org, (2013)".Google Scholar
- Harry Halpin, Ivan Herman, and Pat Hayes: When owl:sameAs isn't the Same: An Analysis of Identity Links on the Semantic Web. Available at http://www.w3.org/2009/12/rdf-ws/papers/ws21.Google Scholar
Index Terms
- Linking Social, Open, and Enterprise Data
Recommendations
Model transformations for hypertext modeling on web information systems
SAC '06: Proceedings of the 2006 ACM symposium on Applied computingIn response to the lack of suitable methods to build the navigation model of Web Information Systems (WIS), we presented in past works HM3, the Hypertext Modeling Method of MIDAS, a methodological framework for the agile development of WIS. We proposed ...
Conceptual open hypermedia = the semantic web?
SemWeb'01: Proceedings of the Second International Conference on Semantic Web - Volume 40The Semantic Web is still a web, a collection of linked nodes. Navigation of links is currently, and will remain for humans if not machines, a key mechanism for exploring the space. The Semantic Web is viewed by many as a knowledge base, a database or ...
Reviews
Feng Yu
Challenges always arise during information fusion, especially for large enterprise information systems (EIS) such as British Telecommunications (BT), which wishes to have its people, especially its sales staff, forge stronger links between one another in order to make connecting with customers easier. This paper is specifically a live example of how to solve such challenges. Many solutions in this work are valuable reference sources for researchers focusing on designing a multi-source information integration system. In this paper, the authors describe how they used ontology-based data management (OBDM) and linked data to integrate enterprise data with open and social media. They built a system using linked data principles to bring data from Web 2.0 sites and other external business sites and link them together with pertinent internal BT enterprise data into that enterprise data space. Furthermore, this work intensively covers the challenges they have encountered and their solutions and general principles. One of the key challenges when meshing their internal LinkedIn data is in disambiguating a person's identification, especially to decide whether similar names refer to the same person. Instead of using common natural language processing (NLP) techniques, they use employee identification numbers (EIN) and their company email addresses as the identifiers. The system also integrates data from their local Salesforce system. In order to input further understanding of this data, public information of these accounts is sourced from OpenCorporates. Another major challenge they faced is the potential loss of context and semantics of the data when it is transported across the boundaries of departments and companies. In general, the two principles in designing the proposed system are building an appropriate business case and using a unified ontology that describes the domains of interest. For future work, they will be extending the system and integrating additional resources both from the enterprise and externally. Online Computing Reviews Service
Access critical reviews of Computing literature here
Become a reviewer for Computing Reviews.
Comments