A Semantic Web-Based Architecture for Analytical Tools
This event took place on Monday 21 February 2005 at 12:30
Denilson Sell
Denilson will present the results of his research work developed in KMi for the last year. This talk is also related to a paper submitted to a conference (IEEE CEC 05).
Despite the importance of analytical tools to organisations, they still lack the flexibility needed to solve the requests of decision makers. In this talk, we present how ontologies and semantic Web services were applied on the conception of an architecture for analytical tools. Our architecture provides a seamless integration of business semantics, data sources and services aiming to guide users in an interactive decision making process. In addition, we present OntoDSS, a prototype analytical tool based on this architecture that illustrates some of the functionalities that may be provided to decision makers within an application scenario
This event took place on Monday 21 February 2005 at 12:30
Denilson will present the results of his research work developed in KMi for the last year. This talk is also related to a paper submitted to a conference (IEEE CEC 05).
Despite the importance of analytical tools to organisations, they still lack the flexibility needed to solve the requests of decision makers. In this talk, we present how ontologies and semantic Web services were applied on the conception of an architecture for analytical tools. Our architecture provides a seamless integration of business semantics, data sources and services aiming to guide users in an interactive decision making process. In addition, we present OntoDSS, a prototype analytical tool based on this architecture that illustrates some of the functionalities that may be provided to decision makers within an application scenario
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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