People | Member | Carlos Pedrinaci
Research FellowI am interested in the development of Knowledge-Based Systems for the Web. My research mainly builds upon results from the Semantic Web and Semantic Web Services communities, but it is also strongly influenced by Software Engineering and Knowledge Engineering principles. Lately my research is focussing more on Business Process Analysis. This work is centred around an extensive use of ontologies formalizing the Business Process Management domain in order to reason about executed business processes.
Keys: Semantic Web Services, Knowledge-Based Systems, Ontologies, Business Process Analysis
Projects
COMPOSE
Linked USDL
VPH-Share
View all 6 Projects
Technologies
OmniVoke
SugarTube
iServe
View all 6 Technologies
5 Most Recent External Publications
Mandler, B., Antonelli, F., Kleinfeld, R., Pedrinaci, C., Carrera, D., Gugliotta, A., Schreckling, D., Carreras, I., Raggett, D., Pous, M., Villares, C. and Trifa, V. (2013) COMPOSE - A journey from the Internet of Things to the Internet of Services, Workshop: Cloud Computing Project and Initiatives - CCPI'13
Cardoso, J., Pedrinaci, C. and Leenheer, P. (2013) Open semantic service networks: modeling and analysis, International Conference on Exploring Service Science 1.3
Leenheer, P., Cardoso, J. and Pedrinaci, C. (2013) Ontological Representation and Governance of Business Semantics in Compliant Service Networks, International Conference on Exploring Service Science 1.3
Ly, A., Pedrinaci, C. and Domingue, J. (2012) Automated Information Extraction from Web APIs Documentation, The 13th International Conference on Web Information System Engineering (WISE 2012), Paphos, Cyprus, Springer
Lin, C., He, Y., Pedrinaci, C. and Domingue, J. (2012) Feature LDA: a Supervised Topic Model for Automatic Detection of Web API Documentations from the Web, The 11th International Semantic Web Conference (ISWC), Boston, USA
Tech Report(s)
On the Integration of Services with the Web of Data
Techreport ID: kmi-09-06
Date: 2009
Author(s): Carlos Pedrinaci,John Domingue,Reto Krummenacher
+44 (0)1908 654773
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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