KMi Seminars
Engineering Semantics on the Web
This event took place on Friday 16 January 2004 at 12:30

 
Prof. Enrico Motta KMi, The Open University, UK

In this talk I will discuss the various issues associated with the development and maintenance of semantic web sites, i.e., web sites augmented with semantic information, expressed using web-based knowledge representation languages, such as RDF or OWL.

I will begin the presentation by discussing the nature of semantic web sites and I will illustrate the various roles semantics can play, such as providing information about web resources, structuring the architecture of a site, or even providing the globality of a site specification, as in the OntoWeaver approach. Having distinguished between different kinds of semantic web sites, I will then discuss the kind of functionalities that a semantic approach enables. In particular, I will use the KMi web site as a test case and present a number of semantics-enabled services, providing support for query answering, information visualization and browsing, and user customization. In the talk I will also address the pragmatic issues associated with constructing semantic web sites, such as how to address the annotation bottleneck.

Hence, the purpose of the talk is two-fold: i) to illustrate the various issues associated with engineering semantic information on the web, and ii) to stimulate a discussion within KMi, both to gain an understanding of the advantages and costs associated with adding semantic information to the KMi web site, and to brainstorm about the kind of functionalities that such enhancement could enable.

Download PowerPoint Presentation (4.8Mb ZIP file)

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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.

Visit the MMIS website