DLVHEX-SPARQL: A SPARQL Compliant Query Engine Based on DLVHEX

نویسندگان

  • Axel Polleres
  • Roman Schindlauer
چکیده

This paper describes the dlvhex SPARQL plugin, a query processor for the upcoming Semantic Web query language standard by W3C. We report on the implementation of this languages using dlvhex, a flexible plugin system on top of the DLV solver. This work advances our earlier translation based on the semantics by Perez et al. towards an engine which is fully compliant to the official SPARQL specification. As it turns out, the differences between these two definitions of SPARQL, which might seem moderate at first glance, need some extra machinery. We also briefly report the status of implementation, and extensions currently being implemented, such as handling of aggregates, nested CONSTRUCT queries in the spirit of networked RDF graphs, or partially support of RDFS entailment. For such extensions a tight integration of SPARQL query processing and Answer-Set Programming, the underlying logic programming formalism of our engine, turns out to be particularly useful, as the resulting programs can actually involve unstratified negation.

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

International Conference on Logic Programming ICLP 2007 Porto , Portugal

This paper describes the dlvhex SPARQL plugin, a query processor for the upcoming Semantic Web query language standard by W3C. We report on the implementation of this languages using dlvhex, a flexible plugin system on top of the DLV solver. This work advances our earlier translation based on the semantics by Perez et al. towards an engine which is fully compliant to the official SPARQL specifi...

متن کامل

Processing RIF and OWL2RL within DLVHEX

We present an extension of the DLVHEX system to support RIF-Core, a dialect of W3C’s Rule Interchange Format (RIF), as well as combinations of RIF-Core and OWL2RL ontologies. DLVHEX is a plugin system on top of DLV, a disjunctive Datalog engine which enables higher-order and external atoms, as well as input rewriting capabilities, which are provided as plugins and enable DLVHEX to bidirectional...

متن کامل

A Rule System for Querying Persistent RDFS Data

We present GiaBATA, a system for storing, aggregating, and querying Semantic Web data, based on declarative logic programming technology, namely on the dlvhex system, which allows us to implement a fully SPARQL compliant semantics, and on DLV , which extends the DLV system with persistent storage capabilities. Compared with off-the-shelf RDF stores and SPARQL engines, we offer more flexible sup...

متن کامل

SAMUEL: A Sharing-based Approach to processing Multiple SPARQL Queries with MapReduce

The volume of RDF data is now growing tremendously. It is thus considered prudent to store and process massive RDF data with distributed SPARQL engines instead of relying on a singlemachine system.Many sophisticated index and partitioning schemes have also been proposed to support SPARQL query evaluations. However, existing SPARQL engines have mainly followed oneat-a-time scheme so that query e...

متن کامل

SCRY: Extending SPARQL with Custom Data Processing Methods for the Life Sciences

An ever-growing amount of life science databases are (partially) exposed as RDF graphs (e.g. UniProt, TCGA, DisGeNET, Human Protein Atlas), complementing traditional methods to disseminate biodata. The SPARQL query language provides a powerful tool to rapidly retrieve and integrate this data. However, the inability to incorporate custom data processing methods in SPARQL queries inhibits its app...

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 2007