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As the number of Web APIs is rapidly increasing, it is an urgent issue to discover qualified Web APIs and provide value-added services by orchestrating them. However, most of the interface descriptions of Web APIs are informal, and the Web API SLA contracts, which are a key to quality of services orchestration, require manual operations at the consumers. Meanwhile, applying the blockchain, the distributed...
People and patients are increasingly using the internet to search for health information, but finding the right terms to search requires iterative search and query reformulation [1], which may be difficult for lay persons who do not have much medical knowledge. To solve the problem, we propose an interactive searching mechanism where resources are annotated using existing healthcare database and search...
This paper presents link prediction of Linked Open Data (LOD) by Multiple Label Propagation Algorithm (MLPA). The current LOD do not have enough links. Therefore, the LOD have not been able to exert so much semantic characteristics. In order to solve this problem, we proposed the MLPA considering semantic distance. The MLPA can expand potential links of each data contained in the LOD. The experimental...
The problem of finite-blocklength lossy compression is considered. Motivated by troubling behavior of the rate expressions under an excess-distortion probability constraint, we define the mean excess distortion criterion. We evaluate the asymptotic performance of various settings under this criterion, and show that sharp and insightful rate bounds can be derived.
In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system performs the automatic traffic light settings allowing to predict and avoid traffic accidents and the routing optimization.
The Semantic Web format of data representation called Resource Description Framework (RDF) is used in Linked Open Data to represent and store any type of information on the Internet. Its intrinsic feature of being a graph-like format provides opportunities for new approaches of analyzing and absorbing information. The extended format of participatory learning based on propositions as pieces of information...
In recent years, the potential benefits of reusing and analyzing the massive quantities of data have been discussed among various stakeholders from diverse domains. In order to take advantage of results of data analyses, instead of forcing to open or share data, it is important to activate a Market of Data, where users select data which they want, negotiate with data owners, and get data at reasonable...
To form Linked Sensor Data, we can generate linkages among the sensor network data described by semantic information and relevant resources in a Linked Open Data cloud, which can make efficient use of sensor network data. Based on the analysis of existing interlinking methods of Linked Data and Linked Sensor Data publishing systems, according to the property characteristics of sensor network data...
To form Linked Sensor Data, we can generate linkages among the sensor network data described by semantic information and relevant resources in a Linked Open Data cloud, which can make efficient use of sensor network data. Based on the analysis of existing interlinking methods of Linked Data and Linked Sensor Data publishing systems, according to the property characteristics of sensor network data...
Resource Description Framework (RDF) is the core technology of Semantic Web and has been more and more popular in recent years. With the rapid growth of the RDF data, the TripleStore, which is the query engine and RDF data storage, requires more scalable and efficient technologies. To improve the scalability and the performance of triple query, which is called SPARQL query processing, MapReduce programming...
In this paper we discuss the Collection+JSON protocol for implementing Restful self-documenting API known as Hypermedia API. We present a minimal extension to the protocol that allows consumers of the service to automatically generate a rich client interface to search the collection, create, read, delete, and update (CRUD) items. We provide a working example of a Python library that, based on a web2py...
We have developed a large semi-synthetic, semantically rich dataset, modeled after the medical record of a large medical institution. Using the highly diverse data.gov data repository and a multivariate data augmentation strategy, we can generate arbitrarily large semi-synthetic datasets which can be used to test new algorithms and computational platforms. The construction process and basic data characterization...
We present a simple approach to handle recursive SPARQL queries, that is, nested queries that may contain references to the query itself. This powerful feature is obtained by implementing a custom SPARQL function that takes a SPARQL query as a parameter and executes it over a specified endpoint. The behaviour is similar to the SPARQL 1.1 SERVICE clause, with a few fundamental differences: (1) the...
Goal-oriented requirement analysis is an approach that semantically suggests requirements based on predefined domain knowledge using ontology. However, developing ontology can be a very expensive process and cause additional efforts. These are major obstacles to introduce Goal-oriented requirement analysis. Furthermore, since the prioritization mechanism depends on how to define ontology, a consistent...
One of the inherit features of cognitive situation awareness and decision support processes is that they are context-dependent. This is hardly disputed by anybody, but as soon one wants to understand what this context dependency means, or even more, what is context and how it relates to a situation then we have to admit that no common understanding exists on those categories. The objective of this...
As the reasoning aspects and the knowledge based processing capabilities of RDF (Resource Description Framework) have been widely adopted in W3C Recommendation, the ontology layer and query languages of the Semantic Web stack achieve a certain level of maturity. There exists an increasing need for high performance, read-only semantic analysis for the massive RDF data. In this demo we will present...
Indexing is one of the important technique used to make searching and retrieval process more accurate and faster. In this paper, the indexing features of triple stores are investigated to see the pattern of semantic indexing that will improve the current information retrieval indexing. To do the evaluation, we choose the best triple stores, Allegro Graph. AllegroGraph require more than one triple...
In this paper, we first study the Decode-and-Forward strategy for secrecy in a single-relay network. We propose a suboptimal Decode-and-Forward with Zero Forcing (DF/ZF) strategy for which we obtain the optimal power control policy. Next, we consider the multiple relay problem. We propose three different strategies based on DF/ZF. The first strategy is a single-hop strategy in which all the relays...
This paper describes our method to fit a 3D skeleton to the human hand using depth images. The human hand is represented by a 3D skeleton with 21 parts. This model is used to generate synthetic depth images, that are used to train Random Decision Forests (RDF), which are used to assign each pixel to a hand part. Mean-shift method is used on the classification results and joint locations are estimated...
We provide an overview of the current data management research issues in the context of the Semantic Web. The objective is to introduce the audience into the area of the Semantic Web, and to highlight the fact that the area provides many interesting research opportunities for the data management community. A new model, the Resource Description Framework (RDF), coupled with a new query language, called...
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