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Author, Editor

Author(s):

Elbassuoni, Shady
Ramanath, Maya
Schenkel, Ralf
Weikum, Gerhard

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BibTeX cite key*:

DEBull2010

Title

Title*:

Searching RDF Graphs with SPARQL and Keywords

Journal

Journal Title*:

IEEE Data Engineering Bulletin

Journal's URL:

http://tab.computer.org/tcde/bull_about.html

Download URL
for the article:

http://sites.computer.org/debull/A10mar/weikum-paper.pdf

Language:

English

Publisher

Publisher's
Name:

IEEE Computer Society

Publisher's URL:


Publisher's
Address:

Los Alamitos, CA

ISSN:


Vol, No, Year, pp.

Volume:

33

Number:

1

Month:

March

Year*:

2010

Pages:

16-24

Number of VG Pages:


Sequence Number:


DOI:


Abstract, Links, (C)

Note:


(LaTeX) Abstract:

The proliferation of knowledge-sharing communities likeWikipedia and the advances in automated information extraction from Web pages enable the construction of large knowledge bases with facts about entities and their relationships. The facts can be represented in the RDF data model, as so-called subject-property-object triples, and can thus be queried by structured query languages like SPARQL. In principle, this allows precise querying in the database spirit. However, RDF data may be highly diverse and queries may return way too many results, so that ranking by informativeness measures is crucial to avoid overwhelming users. Moreover, as facts are extracted from textual contexts or have community-provided annotations, it can be beneficial to consider also keywords for formulating search requests. This paper gives an overview of recent and ongoing work on ranked retrieval of RDF data with keyword-augmented structured queries. The ranking method is based on statistical language models, the state-of-the-art paradigm in information retrieval. The paper develops a novel form of language models for the structured, but schema-less setting of RDF triples and extended SPARQL queries.

URL for the Abstract:


Categories / Keywords:


HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

Expert

Appearance:

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BibTeX Entry:

@MISC{DEBull2010,
AUTHOR = {Elbassuoni, Shady and Ramanath, Maya and Schenkel, Ralf and Weikum, Gerhard},
TITLE = {Searching {RDF} Graphs with {SPARQL} and Keywords},
JOURNAL = {IEEE Data Engineering Bulletin},
PUBLISHER = {IEEE Computer Society},
YEAR = {2010},
NUMBER = {1},
VOLUME = {33},
PAGES = {16--24},
ADDRESS = {Los Alamitos, CA},
MONTH = {March},
}


Entry last modified by Klaus Berberich, 03/12/2013
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Editor(s)
[Library]
Created
06/12/2010 06:23:52 PM
Revisions
2.
1.
0.

Editor(s)
Klaus Berberich
Anja Becker
Ralf Schenkel

Edit Dates
03/12/2013 02:10:13 PM
04.02.2011 11:30:00
12.06.2010 18:28:45

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