Big Data has become the new ubiquitous term used to describe massive collection of datasets that are difficult process using traditional database and software techniques. Most this data is inaccessible users, as we need technology tools find, transform, analyze, visualize in order make it consumable for decision-making. One aspect research dealing with Variety includes various formats such structured, numeric, unstructured text data, email, video, audio, stock ticker, etc. Managing, merging,...

Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed framework applies semantics various fields and so allows richer integration.

Most question answering (QA) systems over Linked Data, i.e. Knowledge Graphs, approach the task as a conversion from natural language to its corresponding SPARQL query. A common is use query templates generate queries with slots that need be filled. Using instead of running an extensive NLP pipeline or end-to-end model shifts QA problem into classification task, where system needs match input appropriate template. This paper presents automatically learn and classify questions using recursive...

With the increasing popularity of Web services and Service-Oriented Architecture, we need sophisticated infrastructure to discover compose services. Dynamic service Composition will gain wider acceptance only when users know that solutions obtained are comprised trust-worthy In this paper, present a framework for Trust-based not uses functional non-functional attributes provided by description document but also filters ranks based on their trust rating. Web-based Social Networks like...

Software engineering education is a technologically challenging, rapidly evolving discipline. Like all STEM educators, software educators are bombarded with constant stream of new tools and techniques (MOOCs! Active learning! Inverted classrooms!) while under national pressure to produce outstanding graduates. also pressured on the discipline side; evolution technology coupled still emerging As handson discipline, where engineers not only design but construct technology, guidance adoption...

The rapid growth of semantic data in the form Resource Description Framework (RDF) triples demands an efficient, scalable, and distributed storage parallel processing strategies along with high availability fault tolerance for its management reuse. There are three open issues RDF systems that not well addressed altogether existing work. First is querying efficiency, second, solutions optimized certain types query patterns don't necessarily work all patterns, third concerned reducing...

Linked Data is an emerging trend on the web with top companies promoting their own means of marking up data semantically, publishing and connecting Web. Despite increasing prevalence Data, there are a limited number applications that implement take advantage its capabilities, particularly in domain education. In this project we using Semantic technologies to create semantic model for educational data, more specifically about Massive Open Online Courses (MOOCs) as linked from various MOOC...

Technology question and answer websites are a great source of technical knowledge. Users these raise various types questions, them. These questions cover wide range domains in Computer Science like Networks, Data Mining, Multimedia, Multi-threading, Web Development, Mobile App etc. Analyzing the actual textual content can help computer science software engineering community better understand needs developers learn about current trends technology. In this project, data from famous website...

Ontology alignment is performed to combine or integrate multiple knowledge bases at the elemental and structural levels. The current state-of-the-art systems use many different approaches match semantics, syntax, terminologies of ontological entities. However, most ontology depend on domain knowledge, which makes process domain-specific. To address this challenge, we aim developing an approach that independent knowledge. achieve goal, proposed exploits unsupervised learning method using a...

Learning management systems and student information have been in use for years a number of universities across America. However, their is not as widespread India. The main reasons the lack high-speed Internet availability, reluctance from to try new software, high cost commercial products (which are differently priced Indian market). In recent years, penetration has significantly improved even direct connections internet backbone. Social media become very widespread, students teachers...

There has been an exponential growth and availability of data, both structured unstructured. Massive amounts data are available to be harvested for competitive business advantage, sound government policies, new insights in a broad array applications (including healthcare, biomedicine, energy, smart cities, genomics, transportation, etc.). Yet, most this is inaccessible users, as we need technology tools find, transform, analyze, visualize order make it consumable decision-making. Meaningful...

The proliferation of the semantic web in form Resource Description Framework (RDF) demands an efficient, scalable, and distributed storage along with a highly available fault-tolerant parallel processing strategy. More precisely, rapid growth RDF data raises need for efficient partitioning strategy over management systems to improve SPARQL query performance regardless its pattern shape minimized pre-processing time. In this context, we propose new relational scheme called Property Table...

The rapidly growing amount of linked open data demands semantic RDF services that are efficient, scalable, and distributed along with high availability fault tolerance. To address this concern, the Big Data processing infrastructure Hadoop has been adopted for management systems. In paper, we introduce stores, namely VPExp 3CStore, based on existing vertical partitioning (VP) approach. approach, propose splitting predicates explicit type information an object. 3CStore scheme is designed a...

The rapid growth of semantic data in the form RDF triples demands a scalable distributed storage and efficient query processing engine for its management reuse. To overcome limitation native stores traditional relational database systems scale adequately with exponential increase size datasets, Big Data infrastructure like Hadoop MapReduce have been used. NoSQL databases such as HBase Cassandra storing large-scale in-memory to execute SPARQL SQL using Apache Spark is proposed this paper....

In a traditional software engineering class, students are typically engaged in theoretical lectures followed by homework assignments or project. Use of hands-on training and laboratory activities using real-world projects is more likely to produce with higher level achievement confidence the course material. If every topic technique introduced has corresponding activity that demonstrates an application use concept industry, better understand need for learning environment interactive,...

An information technology (IT) tool that can guide STEM educators through the complex task of course design development, ensure tight alignment between various components an instructional module, and provide relevant about research-based pedagogical assessment strategies will be great value. A team researchers is engaged in a User-Centered Design (UCD) approach to develop Instructional Module Development System (IMODS), i.e., software program facilitates design. In this paper authors present...

Recommendation systems have been an integral part of massive open online courses (MOOCs). With a large amount availability data and resources, recommending scholars professors through general reviews academic advisor applications has become tiresome job. Finding relevant to student's area interest involves combination multiple factors like field study, depth research area, background professors, ongoing opportunities, etc. As deals with so many different factors, it is very complex...

The processing of large volumes RDF data require an efficient storage and query engine that can scale well with the volume data. initial attempts to address this issue focused on optimizing native stores as conventional relational databases management systems. But grew exponential proportions, limitations these systems became apparent researchers began focus using big analysis tools, most notably Hadoop, process This paper presents a comparative performance Presto (distributed SQL engine) in...