The Semantic Web - ISWC 2015
14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part II
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Chapter and Conference Paper
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems
Tabular data to Knowledge Graph matching is the process of assigning semantic tags from knowledge graphs (e.g., Wikidata or DBpedia) to the elements of a table. This task is a challenging problem for various ...
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Chapter
Construction of Enterprise Knowledge Graphs (I)
In the previous chapters, we have shown the three-layer architecture of Knowledge Graph for Organizations. The very first question we are facing is how to build the Knowledge Graphs. From now on, we will use t...
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Chapter and Conference Paper
An Executable Specification for SPARQL
Linked Data on the web consists of over 1000 datasets from a variety of domains. They are queried with the SPARQL query language. There exist many implementations of SPARQL, and this rich ecosystem has demande...
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Chapter and Conference Paper
Extending SPARQL for Data Analytic Tasks
SPARQL has many nice features for accessing data integrated across different data sources, which is an important step in any data analysis task. We report on the use of SPARQL for two real data analytic use ca...
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Book and Conference Proceedings
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Book and Conference Proceedings
The Semantic Web - ISWC 2015
14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I
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Chapter and Conference Paper
An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners
In graph databases, a given graph query can be executed in a large variety of semantically equivalent ways. Each such execution plan produces the same results, but at different computation costs. The query pla...
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Chapter and Conference Paper
Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization
With many disparate information systems distributed among social and medical care facilities, achieving an integrated social and medical view of people is a huge challenge. We propose a system based on semanti...
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Chapter and Conference Paper
Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing
In this paper, we describe a mechanism for ontology alignment using instance based matching of types (or classes). Instance-based matching is known to be a useful technique for matching ontologies that have di...
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Chapter and Conference Paper
A Clustering-Based Approach to Ontology Alignment
Ontology alignment is an important problem for the linked data web, as more and more ontologies and ontology instances get published for specific domains such as government and healthcare. A number of (semi-)a...
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Chapter and Conference Paper
One Size Does Not Fit All: Customizing Ontology Alignment Using User Feedback
A key problem in ontology alignment is that different ontological features (e.g., lexical, structural or semantic) vary widely in their importance for different ontology comparisons. In this paper, we present a s...
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Chapter and Conference Paper
Extracting Enterprise Vocabularies Using Linked Open Data
A common vocabulary is vital to smooth business operation, yet codifying and maintaining an enterprise vocabulary is an arduous, manual task. We describe a process to automatically extract a domain specific vo...
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Chapter and Conference Paper
Simplifying Access to Large-Scale Health Care and Life Sciences Datasets
Within the health care and life sciences (HCLS) domain, a plethora of phenomena exists that range across the whole “vertical scale” of biomedicine. To accurately research and describe those phenomena, a tremen...
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Chapter
Ontology Reasoning with Large Data Repositories
Reasoning with large amounts of data together with ontological knowledge is becoming a pertinent issue. In this chapter, we will give an overviewof wellknown ontology repositories, including native stores and ...
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Chapter and Conference Paper
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases
Grounded conjunctive query answering over OWL-DL ontologies is intractable in the worst case, but we present novel techniques which allow for efficient querying of large expressive knowledge bases in secondary...
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Chapter and Conference Paper
Matching Patient Records to Clinical Trials Using Ontologies
This paper describes a large case study that explores the applicability of ontology reasoning to problems in the medical domain. We investigate whether it is possible to use such reasoning to automate common c...
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Chapter and Conference Paper
Scalable Cleanup of Information Extraction Data Using Ontologies
The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this approach has been that ontology reasonin...
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Chapter and Conference Paper
The Summary Abox: Cutting Ontologies Down to Size
Reasoning on OWL ontologies is known to be intractable in the worst-case, which is a serious problem because in practice, most OWL ontologies have large Aboxes, i.e., numerous assertions about individuals and ...
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Article
The effects of attention on perceptual implicit memory
Reports on the effects of dividing attention at study on subsequent perceptual priming suggest that perceptual priming is generally unaffected by attentional manipulations as long as word identity is processed...
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Article
On associations between computers and restaurants: Rapid learning of new associations on a conceptual implicit memory test
A novel event-based conceptual implicit memory test was designed to tap the development of new associations between objects and ad hoc categories. At study, participants were presented with a plausible story t...
