Boanerges Aleman-Meza

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As the Semantic Web gains importance for sharing knowledge on the Internet this has lead to the development and publishing of many ontologies in different domains. When trying to reuse existing ontologies into their applications, users are faced with the problem of determining if an ontology is suitable for their needs. In this paper, we introduce OntoQA,(More)
The emergent Semantic Web community needs a common infrastructure for testing the scalability and quality of new techniques and software which use machine processable data. Since ontologies are a centerpiece of most approaches , we believe that for an accurate evaluation of tools for quality, scalability and performance, the research community needs a(More)
Populated ontologies continue to be an important component in techniques and applications in semantic technologies. Thus, it is necessary to evaluate their quality. Our focus is the detection of conflicting information (within an ontology) as a criterion to improve the quality of an ontology. We describe different types of conflicts and propose a rule-based(More)
We present ideas for determining the expertise of researchers across various areas of computer science and for finding relevant experts/reviewers in a peer-review setting. We explain how Semantic Web techniques for data collection and data representation using ontologies can be used in addressing this specific " ExpertFinder " problem.
INTRODUCTION Creating applications that allow users to gain insightful and actionable information or mine for interesting patterns from vast amounts of heterogeneous information is one of the most exciting new areas of information systems research. This information to be analyzed may come from numerous sources spanning proprietary, trusted, and open-source(More)
This work presents an experimental system for data processing in space, time and semantics dimensions using current Semantic Web technologies. The paper describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics(More)
This chapter highlights the benefits of semantics for analysis of the collaboration network in a bibliography dataset. The metadata of publications can be used for extracting keywords and terms, which can be the starting point towards building a taxonomy of topics. The aggregated effect of all publications of an author can determine his/her areas of(More)
This chapter presents practical approaches to data processing in space, time and theme dimensions using current Semantic Web technologies. It describes how we obtain geographic and event data from Internet sources and also how we integrate them into an RDF store. We briefly introduce a set of functionalities in space, time and semantics. These(More)
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