73 research outputs found
From Linked Data to Relevant Data -- Time is the Essence
The Semantic Web initiative puts emphasis not primarily on putting data on
the Web, but rather on creating links in a way that both humans and machines
can explore the Web of data. When such users access the Web, they leave a trail
as Web servers maintain a history of requests. Web usage mining approaches have
been studied since the beginning of the Web given the log's huge potential for
purposes such as resource annotation, personalization, forecasting etc.
However, the impact of any such efforts has not really gone beyond generating
statistics detailing who, when, and how Web pages maintained by a Web server
were visited.Comment: 1st International Workshop on Usage Analysis and the Web of Data
(USEWOD2011) in the 20th International World Wide Web Conference (WWW2011),
Hyderabad, India, March 28th, 201
Towards an automated query modification assistant
Users who need several queries before finding what they need can benefit from
an automatic search assistant that provides feedback on their query
modification strategies. We present a method to learn from a search log which
types of query modifications have and have not been effective in the past. The
method analyses query modifications along two dimensions: a traditional
term-based dimension and a semantic dimension, for which queries are enriches
with linked data entities. Applying the method to the search logs of two search
engines, we identify six opportunities for a query modification assistant to
improve search: modification strategies that are commonly used, but that often
do not lead to satisfactory results.Comment: 1st International Workshop on Usage Analysis and the Web of Data
(USEWOD2011) in the 20th International World Wide Web Conference (WWW2011),
Hyderabad, India, March 28th, 201
An Empirical Study of Real-World SPARQL Queries
Understanding how users tailor their SPARQL queries is crucial when designing
query evaluation engines or fine-tuning RDF stores with performance in mind. In
this paper we analyze 3 million real-world SPARQL queries extracted from logs
of the DBPedia and SWDF public endpoints. We aim at finding which are the most
used language elements both from syntactical and structural perspectives,
paying special attention to triple patterns and joins, since they are indeed
some of the most expensive SPARQL operations at evaluation phase. We have
determined that most of the queries are simple and include few triple patterns
and joins, being Subject-Subject, Subject-Object and Object-Object the most
common join types. The graph patterns are usually star-shaped and despite
triple pattern chains exist, they are generally short.Comment: 1st International Workshop on Usage Analysis and the Web of Data
(USEWOD2011) in the 20th International World Wide Web Conference (WWW2011),
Hyderabad, India, March 28th, 201
Collaboratively Patching Linked Data
Today's Web of Data is noisy. Linked Data often needs extensive preprocessing
to enable efficient use of heterogeneous resources. While consistent and valid
data provides the key to efficient data processing and aggregation we are
facing two main challenges: (1st) Identification of erroneous facts and
tracking their origins in dynamically connected datasets is a difficult task,
and (2nd) efforts in the curation of deficient facts in Linked Data are
exchanged rather rarely. Since erroneous data often is duplicated and
(re-)distributed by mashup applications it is not only the responsibility of a
few original publishers to keep their data tidy, but progresses to be a mission
for all distributers and consumers of Linked Data too. We present a new
approach to expose and to reuse patches on erroneous data to enhance and to add
quality information to the Web of Data. The feasibility of our approach is
demonstrated by example of a collaborative game that patches statements in
DBpedia data and provides notifications for relevant changes.Comment: 2nd International Workshop on Usage Analysis and the Web of Data
(USEWOD2012) in the 21st International World Wide Web Conference (WWW2012),
Lyon, France, April 17th, 201
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