BTC-2019: the 2019 billion triple challenge dataset
Six datasets have been published under the title of Billion Triple Challenge (BTC) since
2008. Each such dataset contains billions of triples extracted from millions of documents …
2008. Each such dataset contains billions of triples extracted from millions of documents …
Keyword query routing
T Tran, L Zhang - IEEE Transactions on Knowledge and Data …, 2013 - ieeexplore.ieee.org
Keyword search is an intuitive paradigm for searching linked data sources on the web. We
propose to route keywords only to relevant sources to reduce the high cost of processing …
propose to route keywords only to relevant sources to reduce the high cost of processing …
Probabilistic query rewriting for efficient and effective keyword search on graph data
L Zhang, T Tran, A Rettinger - Proceedings of the VLDB Endowment, 2013 - dl.acm.org
The problem of rewriting keyword search queries on graph data has been studied recently,
where the main goal is to clean user queries by rewriting keywords as valid tokens …
where the main goal is to clean user queries by rewriting keywords as valid tokens …
k-nearest keyword search in RDF graphs
Abstract Resource Description Framework (RDF) has been widely used as a W3C standard
to describe the resource information in the Semantic Web. A standard SPARQL query over …
to describe the resource information in the Semantic Web. A standard SPARQL query over …
Bridging the gaps between software engineering and human-computer interaction
A key challenge of web platforms like social networking sites and services for news feed
aggregation is the efficient and targeted distribution of new content items to users. This can …
aggregation is the efficient and targeted distribution of new content items to users. This can …
[PDF][PDF] Query Segmentation and Resource Disambiguation Leveraging Background Knowledge.
Accessing the wealth of structured data available on the Data Web is still a key challenge for
lay users. Keyword search is the most convenient way for users to access information (eg …
lay users. Keyword search is the most convenient way for users to access information (eg …
Supporting keyword search for image retrieval with integration of probabilistic annotation
TH Zhou, L Wang, KH Ryu - Sustainability, 2015 - mdpi.com
The ever-increasing quantities of digital photo resources are annotated with enriching
vocabularies to form semantic annotations. Photo-sharing social networks have boosted the …
vocabularies to form semantic annotations. Photo-sharing social networks have boosted the …
New dimensions in semantic knowledge management
R Studer, C Burghart, N Stojanovic, T Thanh… - Towards the Internet of …, 2014 - Springer
With the Internet becoming part of everyday life, technologies enriching available data and
software services with metadata gain importance. These semantic technologies for modeling …
software services with metadata gain importance. These semantic technologies for modeling …
Efficient graph models for retrieving top-k news feeds from ego networks
A key challenge of web platforms like social networking sites and services for news feed
aggregation is the efficient and targeted distribution of new content items to users. This can …
aggregation is the efficient and targeted distribution of new content items to users. This can …
Scaling concurrency of personalized Semantic search over Large RDF data
Recent keyword search techniques on Semantic Web are moving away from shallow,
information retrieval-style approaches that merely find “keyword matches” towards more …
information retrieval-style approaches that merely find “keyword matches” towards more …