To ensure security, encryption techniques play a major role when data are outsourced to the cloud. Problem of retrieving the data from the cloud servers is considered. Many searching techniques are used for retrieving the data. This study focused on a set of keyword based search algorithms. It provides secure data retrieval with high efficiency. It concludes Ranked Searchable Symmetric Encrypti...

We present FactCrawl, a framework for retrieving structured, factual information leveraging the full-text index of a search engine. The framework applies an approximation algorithm to solve problem of retrieving all facts in a document collection using a minimal set of keywords while minimizing cost. The search engine is queried with automatically generated keywords, the results are re-ranked a...

The paper presents Workflow Management Systems (WfMS) as valuable information sources for context information for accomplishing intelligent information support. First, the main advantages of WfMS for retrieving context are presented. Two projects from our research department show different approaches for retrieving workflow context and enabling an intelligent information support. However, they ...

This paper investigates the problem of retrieving popular music by singing. In contrast to the retrieval of MIDI music, which is easy to acquire the main melody by the selection of the symbolic tracks, retrieving polyphonic objects in CD or MP3 format requires to extract the main melody directly from the accompanied singing signals, which proves difficult to handle well simply using the convent...

We present a system that is capable of learning and retrieving spatio-temporal sequences using the forward-only counterpropagation neural network (FOCPNN). This artificial neural system has comparator units, a parallel array of FOCPNNs, and delayed feedback lines from the output of the system to the FOCPNN layer. The system has separate Conditioned Stimulus (CS) input channel and Unconditioned ...

The recall factor is low when keywords are used to retrieve information, and many related documents are omitted. Semantic annotation is used to comment documents to improve the recall factor. While extremely large instances querying requirements may crash ABox reasoner. In this research, a method is proposed to improve the efficiency of semantic retrieving via combining ABox reasoning and datab...

A novel synchronization model namely Extended Real-Time Synchronization Model (E-RTSM) for modeling SMIL2.0 temporal behaviors is proposed in this paper. E-RTSM deals with event-based/non-deterministic synchronization as well as schedule-based synchronization in SMIL2.0. Converting of the temporal relationship of a SMIL2.0 document to E-RTSM is presented. Moreover, design of the E-RTSM-based da...

Vast volumes of digital video data are generated recently in our daily life. One of the most challenging problems is classifying and retrieving the desired information from huge collections of digital video. Consequently, the closed caption text has been utilized as an alternative to enhance the video retrieval and classification. Some systems are designed based on English closed caption howeve...

Physicians and nurses express their judgments and observations towards a patient’s health status in clinical narratives. Thus, their judgments are explicitly or implicitly included in patient records. To get impressions on the current health situation of a patient or on changes in the status, analysis and retrieval of this subjective content is crucial. In this paper, we approach this question ...