Integrating RDF Querying Capabilities into a Distributed Search Infrastructure

نویسندگان

  • Elena Demidova
  • Wolfgang Nejdl
چکیده

The Semantic Web is inherently distributed, and covers both metadata and full-text information. Semantic search therefore can profit a lot from peer-to-peer infrastructures as well as from powerful metadata search functionalities based on full-text search technologies. In this paper we focus on an approach extending an existing P2P search infrastructure with RDF querying capabilities, which both exploits efficient indexing structures conventionally employed in a search engine, and provides metadata search based on the SPARQL query language. We will discuss indexing strategy and querying steps, and show that our approach provides an efficient solution for metadata querying on the Web.

برای دانلود رایگان 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

Keywords and RDF Fragments: Integrating Metadata and Full-Text Search in Beagle++

Full-text search engines and metadata repositories have so far investigated very different approaches to search, mainly due to their separate and different storage systems for information and data. As we have argued in previous papers, though, integrating full-text and metadata search capabilities is crucial for powerful semantic desktop search systems [3]. Semantic metadata is able to represen...

متن کامل

eRDF: Live Discovery for the Web of Data

eRDF is an infrastructure for exploring the Web of Data through evolutionary querying. The main idea is to employ the wellknown strength of evolutionary strategies to find good, though possibly approximate, answers quickly. This allows us discover relevant answers to a user’s information need in an anytime way. As the system is based on the idea of guessing and verifying solutions, it does not ...

متن کامل

A Scale-Out RDF Molecule Store for Improved Co-Identification, Querying and Inferencing

Semantic inferencing and querying across large scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google’s MapReduce framework to implement scale-out distributed querying and reasoning. This approach requires RDF graphs to be decomposed into smaller units that are distributed across computational nodes. RDF Molecules appear to offer an ideal appr...

متن کامل

Towards distributed processing of RDF path queries

A technical infrastructure for storing, querying and managing RDF data is a key element in the current Semantic Web development. Systems like Jena, Sesame or the ICS-FORTH RDF Suite are widely used for building Semantic Web applications. Currently, none of these systems support the integrated querying of distributed RDF repositories. We consider this a major shortcoming since the Semantic Web i...

متن کامل

PAGE: A Distributed Infrastructure for Fostering RDF-Based Interoperability

This paper shows how to build a scalable, robust and efficient distributed Internet-scale RDF repository, that we name PAGE (Put And Get Everywhere). 1 Motivation In the recent years, the RDF (Resource Description Framework) data model is gaining momentum. Among other significant examples, take for istance the adoption of key players such as Adobe (i.e., the eXtensible Metadata Platform XMP) an...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006