Add to ORKGRDF datasets are today used more and more for a great variety of applications mainly due to their exibility. However, accessing these data via the SPARQL query language can be cumbersome and frustrating for end-users accustomed to Web-based search engines. In this context, KS is becoming a key methodology to overcome access and search issues. In this paper, we further dig on our previous work on the state-of-the-art system for keyword search on RDF by giving more insights on the quality of answers produced and its behavior with different classes of queries
Tran DT, Wang H, Rudolph S, Cimiano P. Top-k Exploration of Query Candidates for Efficient Keyword S...
The abundance and ubiquity of RDF data (such as DBpedia and YAGO2) necessitate their effective and e...
In this paper, we outline our ongoing work on diversifying keyword search results on RDF data. Given...
In the last years, the Resource Description Framework (RDF) has gained popularity as the de-facto re...
RDF datasets are becoming increasingly useful with the development of knowledge-based web applicatio...
Keyword-based access to structured data has been gaining traction both in research and industry as a...
In recent years, the Resource Description Framework (RDF) has become the de-facto standard to repres...
Abstract. In this paper, we propose a model for enabling users to search RDF data via keywords, thus...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated infor...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated infor...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated info...
Abstract The proliferation of knowledge-sharing communities like Wikipedia and the advances in autom...
Although SPARQL has been the predominant query language over RDF (Resource Description Framework) gr...
Keyword search is a popular technique for querying the ever growing repositories of RDF graph data o...
Keyword search is a popular technique for querying the ever growing repositories of RDF graph data o...
Tran DT, Wang H, Rudolph S, Cimiano P. Top-k Exploration of Query Candidates for Efficient Keyword S...
The abundance and ubiquity of RDF data (such as DBpedia and YAGO2) necessitate their effective and e...
In this paper, we outline our ongoing work on diversifying keyword search results on RDF data. Given...
In the last years, the Resource Description Framework (RDF) has gained popularity as the de-facto re...
RDF datasets are becoming increasingly useful with the development of knowledge-based web applicatio...
Keyword-based access to structured data has been gaining traction both in research and industry as a...
In recent years, the Resource Description Framework (RDF) has become the de-facto standard to repres...
Abstract. In this paper, we propose a model for enabling users to search RDF data via keywords, thus...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated infor...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated infor...
The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated info...
Abstract The proliferation of knowledge-sharing communities like Wikipedia and the advances in autom...
Although SPARQL has been the predominant query language over RDF (Resource Description Framework) gr...
Keyword search is a popular technique for querying the ever growing repositories of RDF graph data o...
Keyword search is a popular technique for querying the ever growing repositories of RDF graph data o...
Tran DT, Wang H, Rudolph S, Cimiano P. Top-k Exploration of Query Candidates for Efficient Keyword S...
The abundance and ubiquity of RDF data (such as DBpedia and YAGO2) necessitate their effective and e...
In this paper, we outline our ongoing work on diversifying keyword search results on RDF data. Given...