The Web of Data is messy. It contains billions of facts hosted by many different parties, represented using a variety of vocabularies with varying degrees of preciseness, and supplied in an inconsistent fashion. These are not deficiencies in the Web of Data, instead they are the core to the open world that allows providers to easily expose and connect their data. However, the messiness of the WoD is currently not taken advantage of. The Web of Data (WoD) is treaten as a database where precise queries can be formulated and answers are definitive. There is a need for the Semantic Web research community to focus on returning “good enough” answers.
The SOKS symposium is a two-days event discussing the relation between CI and KRR in the context of the Semantic Web. The goal is to bring together researchers working on CI, the Semantic Web and Complex Systems to highlight some of the currently happening cross-research and foster new opportunities of collaboration.
The Benelux Association for Artificial Intelligence (BNVKI-AIABN), the Network Institute and the Netherlands research school for Information and Knowledge Systems (SIKS) are generously sponsoring this event.
The dates are the 28th and 29th of April 2010. The location is the VU University Amsterdam in Amsterdam. The schedule is as follows:
|Martijn Schut – Guszti Eiben
Introduction to Evolutionary Computing and Situated Evolution (Slides)
We discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space-embeddedness, and the identification of decentralization as an orthogonal property. We proceed with a selected overview of related literature in the categories of our interest. This overview enables us to distill further detailes that distinguish the encountered methods. As it turns out the essential differences can be captured through the mechanics of selection and fertilization. These insights are aggregated into a new model called the Situated Evolution Method, which is then used to provide a fine-grained map of exisiting work.
|Frank van Harmelen
Introduction to the Semantic Web
Data trails reconstruction at the community level in the Web of data (Video)
Socio-semantic networks continuously produce data over the Web in a time consistent manner. From scientific communities publishing new findings in archives to citizens confronting their opinions in blogs, there is a real challenge to reconstruct, at the community level, the data trails they produce in order to have a global representation of the topics unfolding in these public arena. We will present such methods of reconstruction in the framework of co-word analysis, highlighting perspectives for the development of innovative tools for our daily interactions with their productions.
Social Semantic Collaboration with the Desktop (Slides,Video)
The Social Semantic Desktop, defines a user's personal information environment as a source and end-point of the Semantic Web: Knowledge workers comprehensively express their information and data with respect to their own conceptualizations. This covers the aspects of social semantics and meta-data creation.
Emergent Semantics (Slides,Video)
Emergent semantics refers to a set of principles and techniques analyzing the evolution of decentralized semantic structures in large scale distributed information systems. Emergent semantics approaches model the semantics of a distributed system as an ensemble of relationships between syntactic structures.
They consider both the representation of semantics and the discovery of the proper interpretation of symbols as the result of a self-organizing process performed by distributed agents exchanging symbols and having utilities dependent on the proper interpretation of the symbols. This is a complex systems perspective on the problem of dealing with semantics.
Self-organization in Distributed Semantic Repositories (Slides,Video)
Principles from nature-inspired selforganization can help to attack the massive scalability challenges in future internet infrastructures. We researched into ant-like mechanisms for clustering semantic information. We outline algorithms to store related information within clusters to facilitate efficient and scalable retrieval.
At the core are similarity measures that cannot consider global information such as a completly shared ontology. Mechanisms for syntax-based URI-similarity and the usage of a dynamic partial view on an ontology for path-length based similarity are described and evaluated. We give an outlook on how to consider application specific relations for clustering with a usecase in geo-information systems.
The symposium will take place in the main building (“Hoofdgebouw”) of the VU Amsterdam at:
De Boelelaan 1105 1081 HV Amsterdam