XML retrieval and evaluation: the INEX experience
This event took place on Thursday 17 November 2005 at 12:30
Dr. Mounia Lalmas Yahoo! Research, Barcelona
Providing effective access to XML-based content is what XML retrieval research is about. XML retrieval systems aim to exploit the logical structure of documents, which is explicitly represented by the XML markup, to retrieve document components instead of whole documents in response to a user's query. Implementing this more focused retrieval paradigm means that an XML retrieval system needs not only to find relevant information in the XML documents, but also determine the appropriate level of component granularity to return to the user.
This talk will discuss the issues involved in returning the appropriate level of component granularity to the user, the approaches developed to provide this more focussed retrieval, and the evaluation methodology followed by INEX, the Evaluation Initiative for XML Retrieval, to evaluate the retrieval effectiveness of these approaches.
Related links:
INEX 2005.
This event took place on Thursday 17 November 2005 at 12:30
Providing effective access to XML-based content is what XML retrieval research is about. XML retrieval systems aim to exploit the logical structure of documents, which is explicitly represented by the XML markup, to retrieve document components instead of whole documents in response to a user's query. Implementing this more focused retrieval paradigm means that an XML retrieval system needs not only to find relevant information in the XML documents, but also determine the appropriate level of component granularity to return to the user.
This talk will discuss the issues involved in returning the appropriate level of component granularity to the user, the approaches developed to provide this more focussed retrieval, and the evaluation methodology followed by INEX, the Evaluation Initiative for XML Retrieval, to evaluate the retrieval effectiveness of these approaches.
Related links:
INEX 2005.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
List all Semantic Web and Knowledge Services Projects
Check out these Hot Semantic Web and Knowledge Services Technologies:
List all Semantic Web and Knowledge Services Technologies
