KMi Seminars
Interpreting Linked Data as ontologies: doctrines and creeping issues
This event took place on Wednesday 15 May 2013 at 11:30

Dr. Alessandro Adamou The Open University


Years of advancements in the Semantic Web are determining a technological gap between the Linked Data levels of the traditional Semantic Web vision, and its higher layers. While the core knowledge representation and interlinking mechanisms have consolidated rather rapidly, standardisation efforts for reasoning, unifying logics, proofing and interaction are striving to reach maturity. This has given rise to alternative schools of thought concerning the nature of the Semantic Web infrastructure, some of which are even putting the very need for ontology languages in question. Part of this phenomenon is due to unexpected results in interpreting combined Linked Data along with their schemas, alignments and other ontologies, with subsequent declining trust in high-level semantics from application developers. This talk will explore some possible research directions that can help keep ontology management on track with the evolution of Linked Data. One such effort will be described in greater detail, which proposes virtualisation as a technique for dynamically assembling multiple semantic data sources into makeshift ontology networks. Experiments on the interpretation of virtual ontology networks have shown promising results in several recurring distribution scenarios of Linked Data statements, with the highest possible axiom expressivity being reached with a reduced assembly effort.



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

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.