Bindings-Restricted Triple Pattern Fragments

نویسندگان

  • Olaf Hartig
  • Carlos Buil Aranda
چکیده

The Triple Pattern Fragment (TPF) interface is a recent proposal for reducing server load in Web-based approaches to execute SPARQL queries over public RDF datasets. The price for less overloaded servers is a higher client-side load and a substantial increase in network load (in terms of both the number of HTTP requests and data transfer). In this paper, we propose a slightly extended interface that allows clients to attach intermediate results to triple pattern requests. The response to such a request is expected to contain triples from the underlying dataset that do not only match the given triple pattern (as in the case of TPF), but that are guaranteed to contribute in a join with the given intermediate result. Our hypothesis is that a distributed query execution using this extended interface can reduce the network load (in comparison to a pure TPF-based query execution) without reducing the overall throughput of the client-server system significantly. Our main contribution in this paper is twofold: we empirically verify the hypothesis and provide an extensive experimental comparison of our proposal and TPF.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

brTPF: Bindings-Restricted Triple Pattern Fragments (Extended Version)

The Triple Pattern Fragment (TPF) interface is a recent proposal for reducing server load in Web-based approaches to execute SPARQL queries over public RDF datasets. The price for less overloaded servers is a higher client-side load and a substantial increase in network load (in terms of both the number of HTTP requests and data transfer). In this paper, we propose a slightly extended interface...

متن کامل

Initial Usage Analysis of DBpedia's Triple Pattern Fragments

Queryable Linked Data is available through several interfaces, including SPARQL endpoints and Linked Data documents. Recently, the popular DBpedia dataset was made available through a Triple Pattern Fragments interface, which proposes to improve query availability by dividing query execution between clients and servers. In this paper, we present an initial usage analysis of this interface so fa...

متن کامل

dbpedia's Triple Pattern Fragments: Usage Patterns and Insights

Queryable Linked Data is published through several interfaces, including sparql endpoints and Linked Data documents. In October 2014, the dbpedia Association announced an official Triple Pattern Fragments interface to its popular dbpedia dataset. This interface proposes to improve the availability of live queryable data by dividing query execution between clients and servers. In this paper, we ...

متن کامل

SWEEP: a Streaming Web Service to Deduce Basic Graph Patterns from Triple Pattern Fragments

The Triple Pattern Fragments (TPF) interface demonstrates how it is possible to publish Linked Data at low-cost while preserving data availability. But, data providers hosting TPF servers are not able to analyze the SPARQL queries they execute because they only receive and evaluate subqueries with one triple pattern. Understanding the executed SPARQL queries is important for data providers for ...

متن کامل

Low-Cost Queryable Linked Data through Triple Pattern Fragments

For publishers of Linked Open Data, providing queryable access to their dataset is costly. Those that offer a public sparql endpoint often have to sacrifice high availability; others merely provide non-queryable means of access such as data dumps. We have developed a client-side query execution approach for which servers only need to provide a lightweight triple-pattern-based interface, enablin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016