The First International Workshop on Ontology-supported Business Intelligence (OBI2008), co-located with the 7th International Semantic Web Conference (ISWC2008), aims to provide a forum for researchers and practitioners from both academic and commercial backgrounds in this emerging but promising application area for semantic technology. It will also serve as a facilitator for bringing BI and Data Mining research closer to the Semantic Web community.
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SENTINEL: a semantic business process monitoring tool
Business Activity Monitoring (BAM) aims to support the real-time analysis of business processes in order to improve the speed and effectiveness of business operations. Providing a timely, integrated high-level view on the evolution and well-being of ...
Enhancing process-adaptation capabilities with web-based corporate radar technologies
Dynamic business processes are capable of adapting themselves to internal events but lack the ability to adapt to external events. Corporate radars are capable of mining the Web for external events of interest to produce structured representations of ...
Opinion analysis for business intelligence applications
More than ever before, business analysts have access to public forums in which opinions and sentiments about companies, products, and policies are expressed in unstructured form. Mining information from public sources is of great importance to many ...
The business knowledge for customer relationship management: an ontological perspective
This paper presents some results of an ongoing ontological analysis of the CRM field. In particular, it describes a fragment of O-CREAM, an ontology for CRM based on DOLCE and on other three DOLCE-based modules, i.e. DnS (for the representation of roles ...
Ranking semantic information for e-government: complaints management
Complaints management is an important application of E-government. Collecting, combining, and ranking citizens' complaints is necessary for effective management. Existing complaints management applications expect the government officials to process each ...
Adopting ontologies for multisource identity resolution
Identity resolution aims at identifying the newly presented facts and linking them to their previous mentions. Our main hypothesis is that variations of one and the same fact can be recognised, duplications removed and their aggregation actually ...
An ontology-based cluster analysis framework
The main objectives of this paper is to propose a conceptual and software environment in which different aspects of cluster analysis of ontology-based data could be studied. The ontology-based dataset has two core components: description of categories ...
Approaches to analyse corporate tags for business intelligence purposes
The information overload in business organizations hampers the information analysis process. Business intelligence tools can be used to analyse large amounts of information, however in most cases they only focus on structured information. More and more ...
Semantic annotation and linking of competitive intelligence reports for business clusters
Competitive intelligence (CI) is a sub-discipline of business intelligence that supports the decision makers in understanding the competitive environment by means of textual reports prepared based on public resources. CI is particularly demanding in the ...
Supporting business intelligence by providing ontology-based end-user information self-service
Business users need to analyse changing sets of information to effectively support their working tasks. Due to the complexity of enterprise systems and available tools, especially technically unskilled users face considerable challenges when trying to ...
SBI: a semantic framework to support business intelligence
- Denilson Sell,
- Dhiogo Cardoso da Silva,
- Fabiano Duarte Beppler,
- Marcio Napoli,
- Fernando Benedet Ghisi,
- Roberto C. S. Pacheco,
- José Leomar Todesco
Despite the importance of analytical tools to organizations, they still lack the inference power needed to solve the requests of decision makers in a flexible and smarter way. We present a framework called SBI -- Semantic Business Intelligence - in ...
Cited By
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Jean-Mary Y, Shironoshita E and Kabuka M Ontology Matching with Semantic Verification, SSRN Electronic Journal, 10.2139/ssrn.3199431
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Marshall M, Boyce R, Deus H, Zhao J, Willighagen E, Samwald M, Pichler E, Hajagos J, Pruddhommeaux E and Stephens S Emerging Practices for Mapping and Linking Life Sciences Data Using RDF - A Case Series, SSRN Electronic Journal, 10.2139/ssrn.3198960
- Proceedings of the first international workshop on Ontology-supported business intelligence