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.
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Automatic scaling of selective SPARQL joins using the TIRAMOLA system
Modern cloud infrastructures based on virtual hardware provide new opportunities and challenges for developers and system administrators alike. Most notable is the promise of resource elasticity, whereby the infrastructure can increase or decrease in ...
Towards benefit-based RDF source selection for SPARQL queries
The Linked Data cloud consists of a great variety of data provided by an increasing number of sources. Selecting relevant sources is therefore a core ingredient of efficient query processing. So far, this is either done with additional indexes or by ...
Pay-as-you-go data integration for linked data: opportunities, challenges and architectures
Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data. LD follows the web in providing low barriers to entry: publishers can make their data available using a small set of standard technologies,...
Named entity recognition and disambiguation using linked data and graph-based centrality scoring
Named Entity Recognition (NER) is a subtask of information extraction and aims to identify atomic entities in text that fall into predefined categories such as person, location, organization, etc. Recent efforts in NER try to extract entities and link ...
To nest or not to nest, when and how much: representing intermediate results of graph pattern queries in MapReduce based processing
Many queries on RDF datasets involve triple patterns whose properties are multi-valued. When processing such queries using flat data models and their associated algebras, intermediate results could contain a lot of redundancy. In the context of ...
Type inference methods and performance for data in an RDBMS
In this paper we survey and measure the performance of methods for reasoning using OWL-DL rules over data stored in an RDBMS. OWL-DL Reasoning may be broken down into two processes of classification and type inference. In the context of databases, ...
A decentralized infrastructure for the efficient management of resources in the web of data
A key requirement in linking open data refers to the rendering of such data easy to explore and consume. Such a requirement is critical for the overall quality of linked data in terms of consistency and interlinking. Although the provision of ...
SPOVC: a scalable RDF store using horizontal partitioning and column oriented DBMS
Organizing and indexing RDF data for efficient evaluation of SPARQL queries has been attracting a lot of attention in the recent past. Most of the techniques proposed in this context leverage the existing RDBMS or column oriented DB technologies. In ...
SPARQL query answering with bitmap indexes
When querying RDF data, one may use reasoning to reach intensional data, i.e., data defined by sets of rules. This is usually achieved through forward chaining, with space and maintenance overheads, or backward chaining, with high query evaluation and ...
Abstract framework for social ontologies and folksonomized ontologies
Many web-based public repositories are widely adopting tag-based metadata approaches as their main classification mechanism. This phenomenon is fostering initiatives to improve the semantic interpretation of tags, usually involving two main entities: "...
- Proceedings of the 4th International Workshop on Semantic Web Information Management