The ceaseless expansion of the World Wide Web is making more and more complex for humans to efficiently find the needed information. The underlying idea of having a description of the data on the Web, organized in such a way as to be used by machines for automation, integration and reuse across various applications, has been exploited in several research fields. As in the previous editions, the International Workshop on "Semantic Web Information Management" (SWIM) aims at reviewing the most recent data-centered solutions for the Semantic Web. In particular, its ambition is to present and analyze the techniques for semantic information management, by taking advantage of the synergisms between the logical basis of the semantic web and the logical foundations of conceptual modeling. Indeed, the leitmotif of these researches is the proposal of models and methods conceived to represent and manage the so-called "semantic data", that is, data appropriately structured to be easily machine-processable on the Web, according to semantic models (e.g. RDF, RDF(S), OWL). The long-standing experience of the information modeling community can provide a priceless contribution to the substantial problems arising in semantic data management. The research issues can be summarized by the following problems:
(1) How can we store efficiently and effectively large amounts of semantic data?
(2) How can we query semantic data and reason on them in a feasible way?
(3) How can we exploit such semantic data in real world scenarios?
This workshop covers the emerging area of Semantic Web gathering researchers to debate, propose, and elaborate the foundations for a data-modeling approach to these problems, by presenting running research and projects on these topics.
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Large-scale bisimulation of RDF graphs
RDF datasets with billions of triples are no longer unusual and continue to grow constantly (e.g. LOD cloud) driven by the inherent flexibility of RDF that allows to represent very diverse datasets, ranging from highly structured to unstructured data. ...
Semantic description of OData services
The Open Data Protocol (OData) is a data access protocol that is based on the REST principles. It is built upon existing and well-known technologies such as HTTP, AtomPub and JSON. OData is already widely-used in the industry. Many IT companies provide ...
LOP: capturing and linking open provenance on LOD cycle
- Rogers Reiche de Mendonça,
- Sérgio Manuel Serra da Cruz,
- Jonas F. S. M. De La Cerda,
- Maria Cláudia Cavalcanti,
- Kelli Faria Cordeiro,
- Maria Luiza M. Campos
The Web of Data has emerged as a means to expose, share, reuse, and connect information on the Web identified by URIs using RDF as a data model, following Linked Data Principles. However, the reuse of third party data can be compromised without proper ...
Scalable containment for unions of conjunctive queries under constraints
We consider the problem of query containment under ontological constraints, such as those of RDFS. Query containment, i.e., deciding whether the answers of a given query are always contained in the answers of another query, is an important problem to ...
Scalable reconstruction of RDF-archived relational databases
We have investigated approaches for scalable reconstruction of relational databases (RDBs) archived as RDF files. An archived RDB is reconstructed from a data archive file and a schema archive file, both in N-Triples formats. The archives contain RDF ...
Social infobuttons: integrating open health data with social data using semantic technology
There is a large amount of free health information available for a patient to address her health concerns. HealthData.gov includes community health datasets at the national, state and community level, readily downloadable. There are also patient-...
Overcoming limitations of term-based partitioning for distributed RDFS reasoning
RDFS reasoning is carried out via joint terms of triples; accordingly, a distributed reasoning approach should bring together triples that have terms in common. To achieve this, term-based partitioning distributes triples to partitions based on the ...
Towards a model for replicating aesthetic literary appreciation
This study aims to bridge the gap between subjective literary criticism and natural language processing by creating a model that emulates the results of a survey into literary tastes. A panel of human experts qualified segments of literary text ...
- Proceedings of the Fifth Workshop on Semantic Web Information Management