Journal ArticleDOI
Combining the Best of Both Worlds: A Semantic Web Book Mashup as a Linked Data Service Over CMS Infrastructure
TLDR
A proof-of-concept of how the best of the Web world (RESTful services, Semantic technologies, and CMSs) can be successfully incorporated in the form of a semantic mashup is proposed.Abstract:
We propose a proof-of-concept of how the best of the Web world (RESTful services, Semantic technologies, and CMSs) can be successfully incorporated in the form of a semantic mashup. This mashup enr...read more
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Journal ArticleDOI
Linked Data in a Nutshell: A Starter Kit of Selected Annotated Bibliography and Resources for Academic Librarians: Part Two
TL;DR: This list focuses on literature in English only and of specific projects, case studies, research studies, and tools that may be helpful to academic librarians, in addition to the overview ofLinked Data concept and the current state of Linked Data evolution and adoption.
References
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Journal ArticleDOI
Linked Data - the story so far
TL;DR: The authors describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked data community as it moves forward.
Proceedings ArticleDOI
A large-scale evaluation and analysis of personalized search strategies
TL;DR: It is revealed that personalized search has significant improvement over common web search on some queries but it also has little effect on other queries, and even harms search accuracy under some situations.
Tabulator: Exploring and Analyzing linked data on the Semantic Web
Tim Berners-Lee,Yuhsin Chen,Lydia B. Chilton,Dan Connolly,Ruth Dhanaraj,James Hollenbach,Adam Lerer,David Sheets +7 more
TL;DR: The Tabulator project is an attempt to demonstrate and utilize the power of linked RDF data with a user-friendly Semantic Web browser that is able to recognize and follow RDF links to other RDF resources based on the user’s exploration and analysis.
Proceedings ArticleDOI
Automatic identification of user interest for personalized search
Feng Qiu,Junghoo Cho +1 more
TL;DR: Experiments show that users' preferences can be learned accurately even from little click-history data and personalized search based on user preference yields significant improvements over the best existing ranking mechanism in the literature.
Proceedings ArticleDOI
Personalized Search Based on User Search Histories
Micro Speretta,Susan Gauch +1 more
TL;DR: This study found that user profiles based on queries were as effective as those based on snippets, and found that the personalized re-ranking resulted in a 34% improvement in the rankorder of the user-selected results.