33 research outputs found
Effective Retrieval Model for Entity with Multi Value Attributes
No full textSubmitted at: 18th International Conference on Knowledge Engineering and Knowledge Management EKAW 2012
Introducing RDF Graph Summary with Application to Assisted SPARQL Formulation
No full textOne of the reasons for the slow adoption of SPARQL is the complexity in query formulation due to data diversity. The principal barrier a user faces when trying to formulate a query is that he generally has no information about the underlying structure and vocabulary of the data. In this paper, we address this problem at the maximum scale we can think of: providing assistance in formulating SPARQL queries over the entire Sindice data collection - 15 billion triples and counting coming from more than 300K datasets. We present a method to help users in formulating complex SPARQL queries across multiple heterogeneous data sources. Even if the structure and vocabulary of the data sources are unknown to the user, the user is able to quickly and easily formulate his queries. Our method is based on a summary of the data graph and assists the user during an interactive query formulation by recommending possible structural query elements
The Sindice-2011 Dataset for Entity-Oriented Search in the Web of Data
No full textThe task of entity retrieval becomes increasingly prevalent as more and more (semi-) structured information about objects is available on the Web in the form of documents embedding metadata (RDF,RDFa, Microformats, and others). However, research and development in that direction is dependent on (1) the availability of a representative corpus of entities that are found on the Web, and (2)
the availability of an entity-oriented search infrastructure for experimenting with new retrieval models. In this paper, we introduce the Sindice-2011 data collection which is derived from data collected by the Sindice semantic search engine. The data collection (available at http://data.sindice.com/trec2011/) is especially designed for supporting research in the domain of web entity retrieval. We describe how the corpus is organised, discuss statistics of the data collection, and introduce a search infrastructure to foster research and development
