Semantic Web (SW) technologies and methods in an integrated, scalable and reconfigurable design information support management and knowledge sharing system. The key to improving innovative design lies in better information management and knowledge sharing support of the inter-working of multi-disciplinary design teams. The machine-understandable semantics of information sources, offered by the SW, driven by a general design process ontology (based upon an existing Knowledge Level theory of designing), together with meta data based filtering and presentation techniques, thus form the key components of the information support management and knowledge sharing system to be developed in the project."
Friday, February 17, 2006
IST Project Wide
Project Wide: "WIDE aims to provide a basis for improving the quality and efficiency of innovative product design. The objectives are to investigate and demonstrate the application of emerging 
Semantic Web (SW) technologies and methods in an integrated, scalable and reconfigurable design information support management and knowledge sharing system. The key to improving innovative design lies in better information management and knowledge sharing support of the inter-working of multi-disciplinary design teams. The machine-understandable semantics of information sources, offered by the SW, driven by a general design process ontology (based upon an existing Knowledge Level theory of designing), together with meta data based filtering and presentation techniques, thus form the key components of the information support management and knowledge sharing system to be developed in the project."
Semantic Web (SW) technologies and methods in an integrated, scalable and reconfigurable design information support management and knowledge sharing system. The key to improving innovative design lies in better information management and knowledge sharing support of the inter-working of multi-disciplinary design teams. The machine-understandable semantics of information sources, offered by the SW, driven by a general design process ontology (based upon an existing Knowledge Level theory of designing), together with meta data based filtering and presentation techniques, thus form the key components of the information support management and knowledge sharing system to be developed in the project."
Friday, February 10, 2006
Named Graphs as a Mechanism for Reasoning about Provenance
ECS EPrints Service - Named Graphs as a Mechanism for Reasoning about Provenance: "Named Graphs is a simple, compatible extension to the RDF abstract syntax that enables statements to be made about RDF graphs. This approach is in contrast to earlier attempts such as RDF reification, or knowledge-base specific extensions including quads and contexts. 
In this paper we demonstrate the use of Named Graphs and our experiences developing new kinds of semantic web application that build on Named Graphs for digital signatures, provenance, and semantic reasoning. We present a working example based on the Named Graphs for Jena (NG4J) API, from which we developed a semantic version control system for Software Engineering capable of reasoning about Named Graph-based provenance. We go on to discuss the implications of Named Graphs for Description Logics and semantic inference strategies."
In this paper we demonstrate the use of Named Graphs and our experiences developing new kinds of semantic web application that build on Named Graphs for digital signatures, provenance, and semantic reasoning. We present a working example based on the Named Graphs for Jena (NG4J) API, from which we developed a semantic version control system for Software Engineering capable of reasoning about Named Graph-based provenance. We go on to discuss the implications of Named Graphs for Description Logics and semantic inference strategies."
Thursday, February 02, 2006
Smart RSS Readers at Attensa
Smart RSS Readers at Attensa: "The Attensa RSS network is based on unique, proven intellectual property in a scaleable RSS architecture that efficiently organizes, distributes and measures RSS news feed articles and their associated attention metadata. Using Attensa network attention streams that accommodate the 
Attention.xml standard, metadata is unobtrusively fingerprinted and triangulated through collaborative filtering to deliver the most relevant information. By sharing, aggregating and triangulating the attention streams (anonymously and in near real-time) generated by the millions of people using RSS feeds, new possibilities emerge to provide individuals with higher value content. This metadata can be used to rank the popularity of articles by measuring the audience size and appetite for news from specific bloggers and news sources. It can also be used to create privacy protected anonymous user profiles, based on permission, that can recommend content, refine blog and Website searching and enhance the experience of tracking the news that matters to millions of people."
Attention.xml standard, metadata is unobtrusively fingerprinted and triangulated through collaborative filtering to deliver the most relevant information. By sharing, aggregating and triangulating the attention streams (anonymously and in near real-time) generated by the millions of people using RSS feeds, new possibilities emerge to provide individuals with higher value content. This metadata can be used to rank the popularity of articles by measuring the audience size and appetite for news from specific bloggers and news sources. It can also be used to create privacy protected anonymous user profiles, based on permission, that can recommend content, refine blog and Website searching and enhance the experience of tracking the news that matters to millions of people."
Mind the Gap: Another Look at the Problem of the Semantic Gap in Image Retrieval
ECS EPrints Service - Mind the Gap: Another look at the problem of the semantic gap in image retrieval: "This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques. The first section of the paper describes a characterisation of the semantic gap as a hierarchy between the raw media and full semantic understanding of the media's content. The second section discusses real users' queries with respect to the semantic gap. The final sections of the paper describe our own experience in attempting to bridge the semantic gap. In particular we discuss our work on auto-annotation and semantic-space models of image retrieval in order to bridge the gap from the bottom up, and the use of ontologies, which capture more semantics than keyword object labels alone, as a technique for bridging the gap from the top down."
Wednesday, February 01, 2006
Ontology Construction from Online Ontologies
ECS EPrints Service - Ontology Construction from Online Ontologies: "One of the main hurdles towards a wide endorsement of ontologies is the high cost of constructing them. Reuse of existing ontologies offers a much cheaper alternative than building new ones from scratch, yet tools to support such reuse are still in their infancy. However, more ontologies are becoming available on the web, and online libraries for storing and indexing ontologies are increasing in number and demand. Search engines have also started to appear, to facilitate search and retrieval of online ontologies. This paper presents a fresh view on constructing ontologies automatically, by identifying, ranking, and merging fragments of online ontologies."
Reuse of existing ontologies offers a much cheaper alternative than building new ones from scratch, yet tools to support such reuse are still in their infancy. However, more ontologies are becoming available on the web, and online libraries for storing and indexing ontologies are increasing in number and demand. Search engines have also started to appear, to facilitate search and retrieval of online ontologies. This paper presents a fresh view on constructing ontologies automatically, by identifying, ranking, and merging fragments of online ontologies."
Enter the Semantic Grid
IST Results - Enter the Semantic Grid: "The upshot is a technological infrastructure in which semantically-aware middleware allows collections of resources - computing, storage, 
data sets, digital libraries, scientific instruments, businesses and people – to rapidly come together to form virtual organisations to solve a specific problem and disband just as easily once a solution is found. By overcoming cross-organisational, cross-industry and cross-country boundaries, and increasing interoperability by making semantic assumptions explicit, the Semantic Grid promises to aid organisations and businesses in any field where input from multiple and potentially highly differentiated actors is required."
data sets, digital libraries, scientific instruments, businesses and people – to rapidly come together to form virtual organisations to solve a specific problem and disband just as easily once a solution is found. By overcoming cross-organisational, cross-industry and cross-country boundaries, and increasing interoperability by making semantic assumptions explicit, the Semantic Grid promises to aid organisations and businesses in any field where input from multiple and potentially highly differentiated actors is required."
Subscribe to:
Posts (Atom)
