The ultimate goal to improve healthcare practices and the development of better biomedical products largely depends on ability share link wealth collected medical data. key challenge pursue this ambitious objective is not only enabling integration data spanning heterogeneous sources formats, but in tools standards for flexible search, analytics user friendly interfaces. In paper we conduct an extensive survey how Semantic Web used answer these challenges. First, review ontology management...

The relational database is provided from the traditional DBMS, which ensures integrity of data and consistency transactions. For many software applications, these are principles a proper DBMS. But in last few years, witnessing velocity growth lack support databases for this issue, as solution to it, NoSQL (Not Only SQL) have appeared. These two kinds while being used same purposes (create, retrieve, update manage data) they both their own advantages disadvantages over each other. purpose...

The article deals with four of the most widely used models, including Decision Tree, Random Forest, SVM, and Logistic Regression, regarding their applicability to diabetes prediction management. This research assesses predictive capabilities such models in predicting based on several performance measures as accuracy, precision, recall, F1-score, AUC-ROC while checking relative importance some main features Age BMI task prediction. However, it is determined that Forest SVM results have...

This paper presents a comprehensive study of predictive models for student success, leveraging machine learning techniques to analyze diverse factors affecting academic performance in higher education. Using dataset students from various institutions Kosovo, encompassing demographic, socioeconomic, and attributes, the research employs evaluates several algorithms predict dropout rate. To address issue unbalanced data, SMOTE ADASYN were implemented, enhancing accuracy. The identifies...

Obesity is a chronic inflammatory disease defined by an excessive accumulation of body fat. The human gut microbiota (GM) intricate ecosystem microorganisms living symbiotically within the gastrointestinal tract and has emerged as key player in health metabolic diseases. Recently, several studies have increasingly revolved around understanding specific compositions strains GM their potential impact on obesity. This review provides summary most recent findings regarding obesity newly...

Massive volumes of information shared on the web together with linked open data initiatives and exabytes generated through social networks frequently disorientates confuses users in their everyday interaction. Additionally, constitute a highly heterogeneous entities different needs requirements. Considering this, user adaptive software systems have been developed as new application approach to ease interaction between intent bridge gap such presentation navigational pitfalls. The is...

The internet of things (IoT) as an evolving technology represents active scientific research field in recognizing challenges associated with its application various domains, ranging from consumer convenience, smart energy, and resource saving to IoT enterprises. Sensors are crucial components that relay the collected data form stream for further processing. Interoperability connected digital resources is a key challenge environments. enrichment raw sensor semantic annotations using concept...

Abstract Many governments in the world have created e-government initiatives including developed and developing countries. In order to better understand evolution, different maturity models been by many authors. this paper most cited are analyzed using meta-synthesis approach. As a result, five stages of identified. The comparative results show supported each initiative as important elements decision making process. This is attempting that although there for measuring maturity, they all...

The following topics are dealt with: organisational aspects; learning (artificial intelligence); ISO standards; risk management; legislation; Internet; educational institutions; content computer based training; game theory.

Storage and file synchronisation is a common important service provided by contemporary cloud providers new standard for sharing information storage among companies individuals. However, choosing the right provider depends on many factors. This paper defines set of criteria to evaluate we review today's market against this checklist. In addition, an attempt read/write performances selected systems over small large sizes conducted as well. The comparative results show features each element in...

Sensors and other Internet of Things (IoT) technologies are increasingly finding application in various fields, such as air quality monitoring, weather alerts water healthcare etc. IoT sensors continuously generate large volumes observed stream data; therefore, processing requires a special approach. Extracting the contextual information essential for situational knowledge from sensor data is very difficult, especially when interpretation these required real time. This paper focuses on...

This study reviews the enterprise resource planning (ERP) systems in higher education institutions (HEIs), as a like this is very scarce literature. Because ERPs are consisted of modules, understanding modules designed for HEIs has remained unclear. The current scenery research scattered with analysis conducted mainly failures or success stories, specifically factors during module implementation. However, to date there no studies that provide comprehensive picture ERP HEIs. contributes by...

As companies grow, so do the complex demands placed on IT Department. Without a good Help Desk Software, Departments can begin losing ability to effectively provide employees with technical support they need their jobs. Many enterprises rely Ticketing Systems deliver fast, reliable internal customer service, resulting in improved department operations and satisfied employees. This paper describes process of creating an System from scratch for Sector well-known organization Albania - Albanian...

Internet in general and social media particular have greatly facilitated the communication, interaction collaboration among people different entities.As generally there is no censorship, these sometimes are used to proliferate discourses that contain hateful messages targeting ethnic origin, religious or sexual groups, which potentially may degenerate violent acts against individuals of such groups.Therefore, we explore idea building automatic classifier can be for detection hate speech...

Efficiently finding Web Services on the is a challenge research question in Service Oriented Architecture-SOA. services are becoming necessary part of Semantic Web, and aims to automate their use. However, adequate service for each individual user becomes more demanding problem. In this paper we suggest new approach Discovery which believe that first attempts combines clustring techiques with Latent Indexing. Empirically proposed method will improve quality automated discovery.

Cancer is one of the crucial causes death for both men and women.All over world, breast cancer leading cause deaths in women.The most effective way to reduce detect it earlier but detection early stages not an easy process.As result, many researches are focused on developing different systems detection.In this paper we have discussed various data mining approaches that been utilized diagnosis prognosis.We proposed a prediction framework consisting four main modules: Data Collection,...

Web personalization is a process that utilizes set of methods, techniques, and actions for adapting the linking structure an information space or its content both to user interaction preferences. The aim enhance experience by retrieving relevant resources presenting them in meaningful fashion. advent big data introduced new challenges locate modeling community research setting. In this paper, we introduce related analyzed context Semantic Web. This paper also introduces some models...

The expansion and ever evolving web makes it difficult to find relevant information that best fits user's intentions. This paper introduces development of hybrid approach addresses the issue collecting large knowledgebase by fusing thematic or focused crawling methodologies, with adaptive semantic concepts. Focused ensures goal directed search data on web, environments establish proper content link adaptation whilst inserts meaning documents from sense metadata. process retrieved...