One vision of the Semantic Web is that it will be much like the Web we know today, except that documents will be enriched by annotations in machine understandable markup. These annotations will provide metadata about the documents as well as machine interpretable statements capturing some of the meaning of document content. We discuss how the information retrieval paradigm might be recast in such an environment. We suggest that retrieval can be tightly bound to inference. Doing so makes today 's Web search engines useful to Semantic Web inference engines, and causes improvements in either retrieval or inference to lead directly to improvements in the other
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
There is an increasing amount of structure on the web as a result of modern web lan-guages, user tag...
Information retrieval technology has been central to the success of the Web. For semantic web docume...
A chief difference between the current incarnation of the World Wide Web and the new vision of the S...
The increasing amount of information that is annotated against standardised semantic resources offer...
The increasing amount of information that is annotated against standardised semantic resources offer...
The Semantic Web provides a way to encode information and knowledge on web pages in a form that is e...
The fundamental issue of imprecise search results arises owing to the misrepresentation of data on t...
While it is agreed that semantic enrichment of resources would lead to better search results, at pre...
Abstract--Semantic search has been one of the motivations of the Semantic Web since it was envisione...
[[abstract]]Most of the existing textual information retrieval approaches depend on a lexical match ...
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We prop...
The increasing volume of data available on the Web makes information retrieval a tedious and difficu...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
There is an increasing amount of structure on the web as a result of modern web lan-guages, user tag...
Information retrieval technology has been central to the success of the Web. For semantic web docume...
A chief difference between the current incarnation of the World Wide Web and the new vision of the S...
The increasing amount of information that is annotated against standardised semantic resources offer...
The increasing amount of information that is annotated against standardised semantic resources offer...
The Semantic Web provides a way to encode information and knowledge on web pages in a form that is e...
The fundamental issue of imprecise search results arises owing to the misrepresentation of data on t...
While it is agreed that semantic enrichment of resources would lead to better search results, at pre...
Abstract--Semantic search has been one of the motivations of the Semantic Web since it was envisione...
[[abstract]]Most of the existing textual information retrieval approaches depend on a lexical match ...
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We prop...
The increasing volume of data available on the Web makes information retrieval a tedious and difficu...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources...
There is an increasing amount of structure on the web as a result of modern web lan-guages, user tag...