INTERNATIONAL CONFERENCE ON WEB RESEARCH | Year:2015 | دوره:1 |Papers Count:9

WEB TRAFFIC ANALYSIS IS A KNOWN ONLINE MARKETING APPROACH. THIS STUDY ANALYZES THE REFERRAL ACQUISITIONS OF A NEWS WEBSITE BY APPLYING DATA MINING TECHNIQUES. RESEARCH RESULTS SHOW THAT THERE IS NO SIGNIFICANT RELATIONSHIP BETWEEN THE NUMBER OF REFERRAL VISITS FROM A SPECIFIC REFERRER'S WEBSITE AND IT'S ALEXA RANK. ALSO THE REFERRAL AUDIENCE FIT INTO THREE CLUSTERS USING K-MEANS SQUARED EUCLIDEAN DISTANCE CLUSTERING ALGORITHM. EXAMINING THE DATASET SHOWS THAT OUR CLUSTERING METHOD IS CAPABLE OF RECOGNIZING AUTOMATIC NEWS AGGREGATOR WEBSITES THROUGH REFERRER WEBSITES.

SOCIAL NETWORKS ARE THE MAIN SOURCE OF USER OPINIONS ABOUT EVENT AND PRODUCT. EXTRACTING USER SENTIMENT FROM THEIR COMMENTS IN SOCIAL NETWORKS VERY HELPFUL FOR COMPANIES AND GOVERNMENTS FOR THEIR DEVELOPMENT PLAN. TWITTER CONSISTS OF BILLIONS OF USER AND THEIR OPINIONS AND IT IS A GOOD SOURCE FOR SENTIMENT ANALYSIS. LOTS OF WORKS PROPOSED IN RECENT YEARS ABOUT SENTIMENT ANALYSIS IN TWITTER. VARIOUS METHODS ARE USED TO DEVELOP A SA METHOD SUCH AS NLP BASED, MACHINE LEARNING BASED AND HYBRID METHODS. BUT, ALL OF THESE METHODS DON’T SATISFY ALL REQUIREMENTS OF THIS RESEARCH AREA. IN THIS REPORT WE TRY TO REVIEW THE IMPORTANT SOLUTIONS ARE PROPOSED FOR THIS PROBLEM.THIS PAPER CONSISTS OF FIVE CATEGORIES: 1) TO INTRODUCE AND TO ORIENTATE WITH THE FIELD OF SENTIMENT ANALYSIS IN TWITTER SOCIAL NETWORKS 2) TO REVIEW THE WORKS DONE IN THE AREA OF SA 3) TO INTRODUCE CONFERENCES RELATED TO THE FIELD OF SA IN RECENT YEARS THAT HOLD COMPETITIONS WITH THEIR RESULTS AND THEIR BEST PRACTICES OFFERED 4) TO INTRODUCE AVAILABLE DATASETS 5) TO INTRODUCE A FEW AVAILABLE MASH-UPS.

NODE CLASSIFICATION IN GRAPH DATA PLAYS AN IMPORTANT ROLE IN WEB MINING APPLICATIONS. WE CLASSIFY THE EXISTING NODE CLASSIFIERS INTO INDUCTIVE AND TRANSDUCTIVE APPROACHES. AMONG THE TRANSDUCTIVE METHODS, THE MAJORITY RULE METHOD (MRM) HAS A PROMINENT ROLE. THIS METHOD CONSIDERS ONLY THE CLASS LABELS OF THE NEIGHBORING NODES, NEGLECTING THE INFORMATIVE CONNECTIVITY INFORMATION IN THE GRAPH DATA. IN THIS PAPER, WE PROPOSE AN AUGMENTED RANDOM WALK (ARW) BASED APPROACH TO RESOLVE MAIN LIMITATIONS OF MRM. IN OUR PROPOSED METHOD, FIRST, WE AUGMENT THE INITIAL GRAPH BY ADDING CLASS LABELS AS NEW NODES TO THE GRAPH AND THEN WE CONNECT EACH CLASSIFIED NODE TO ITS CORRESPONDING CLASS LABEL NODES. SECOND, WE APPLY A RANDOM WALK ALGORITHM TO FIND THE SIMILARITY SCORE OF EACH UN-CLASSIFIED NODE TO DIFFERENT CLASS LABELS. THIRD, WE PREDICT CLASS LABELS WITH THE HIGHEST SCORES FOR THE UN-CLASSIFIED NODE. EMPIRICAL RESULTS SHOW THAT OUR PROPOSED METHOD CLEARLY OUTPERFORMS THE MAJORITY RULE METHOD IN SIX GRAPH DATASETS WITH HIGH HOMOPHILY.

BECAUSE OF A VARIETY OF PROCEDURES RELATED TO DESIGN AND PRESENTATION OF WEB CONTENT AND STRUCTURE, THERE WOULD BE A PRESSING NEED TO CONSIDER ISSUES OF QUALITY OF WEB INFORMATION IN UPCOMING YEARS. IT IS ARGUED, IN THE CURRENT PAPER, THAT EVALUATION ISSUES RELATED TO CREDIBILITY AND QUALITY ASSESSMENTS ARE OF HIGH IMPORTANCE IN WEB ENVIRONMENT IN COMPARISON WITH TRADITIONAL INFORMATION ENVIRONMENTS. SOME EVALUATION SKILLS LIKE AUTHORITY, COVERAGE, CURRENCY, OBJECTIVITY, ACCURACY, CRITICAL THINKING AND INFORMATION LITERACY ALL OF WHICH COULD BE CATEGORIZED AS WEB LITERACY WOULD BE FRUITFUL IN DOING SO. THERE EXISTS, HOWEVER, LACK OF EVALUATION SKILLS AMONG USERS CAUSED BY THEIR COGNITIVE STYLES, PRIOR KNOWLEDGE, INFORMATION SKILLS AND OF WEB RESOURCES CHARACTERISTICS AS WELL. SOME OTHER SOLUTIONS LIKE DIALECTICAL READING, INFORMATION ETHICS AND ALSO INSTITUTIONAL POLICYMAKING WILL ALSO BE TAKEN INTO ACCOUNT AT THE END OF THE PAPER.

IN THE FIRST DECADE OF THE 21ST CENTURY, WORLDWIDE, THE TREMENDOUS INCREASE IN THE AMOUNT OF AVAILABLE INFORMATION AND THE SPREADING OF THE ORGANIZATION WAS POSSIBLE THROUGH THE ENHANCEMENT OF THE ACCESS TO COMPUTERS AND TO INTERNET. A LACK OF INFORMATION SECURITY AWARENESS WITHIN SOME PARTS OF SOCIETY AS WELL AS SOME INFORMATION SYSTEM CONTINUES TO EXIST TODAY. THIS PAPER PROVIDES GUIDELINES FOR BUILDING AND MAINTAINING A COMPREHENSIVE AWARENESS AND TRAINING PROGRAM, AS PART OF AN ORGANIZATION’S IT SECURITY PROGRAM. THE GUIDANCE IS PRESENTED IN A LIFE-CYCLE APPROACH. THE DOCUMENT INCLUDES GUIDANCE ON HOW IT SECURITY PROFESSIONALS CAN IDENTIFY AWARENESS AND TRAINING NEEDS, DEVELOP A TRAINING PLAN, THIS DOCUMENT ALSO DESCRIBES HOW TO: SELECT AWARENESS AND TRAINING TOPICS; IMPLEMENT AWARENESS AND TRAINING PROGRAM WITH SPECIAL METHODS; EVALUATE THE EFFECTIVENESS OF THE PROGRAM IN LINE WITH ORGANIZATIONAL CHANGE. OUR RESULTS INDICATE THAT THE CONSTRUCTS TECHNICAL KNOWLEDGE, ORGANIZATIONAL IMPACT CORRELATIONS WITH INFORMATION SECURITY AWARENESS. INTERESTINGLY, ORGANIZATIONAL IMPACT GENERATED STRONGER ASSOCIATIONS WITH INFORMATION SECURITY AWARENESS THAN TECHNICAL KNOWLEDGE.

MOST RELATIONAL DATABASES IN THE WEB ARE ACCESSIBLE THROUGH THE HTML PAGES. THIS SUBJECT HAS BEEN SHOWN ONTOLOGY EXTRACTION FROM WEB RELATIONAL DATABASE MAY BE TO DO BY PARSING OF THESE HTML PAGES. ESPECIALLY, WHEN WE DON’T HAVE ACCESS TO THE RELATIONAL SCHEMA, THIS METHOD IS EFFECTIVELY DOING. IN THIS PAPER, WE PROPOSED A NEW METHOD FOR EXTRACTING ONTOLOGY OF RELATIONAL DATABASES IN THE WEB, WHICH ARE MANAGING BY CONTENT MANAGEMENT SYSTEM (CMS). OUR METHOD IS A REVERSE ENGINEERING FOR DETERMINE TEMPLATE OF CMS SUCH THAT WE CAN TO DEFINE PSEUDO SCHEMA OF RELATIONAL DATABASE AND RETRIEVAL ITS DATA. THEN WE HAVE BUILDING ONTOLOGY OF DOMAIN AS A NEW RELATIONAL DATABASE.MOREOVER, HTML SCHEMA AND HTML TAGS HAS BEEN USED AS INFORMATION TO DEFINE ONTOLOGY CLASSES, OBJECT AND DATA PROPERTIES. OUR METHOD HAS MORE BENEFIT OF THE MAPPING METHODS THAT HAS TRANSFER DATABASE TO ONTOLOGY, DIRECTLY.

THE INCREASING POPULARITY AND EXTENSION OF SEMANTIC WEB APPLICATIONS HAVE LED TO MYRIAD AMOUNTS OF RDF DATA AND ONTOLOGIES. THE LARGE-SCALE ONTOLOGY AND COMPLEX RDF DATASETS ARE ASSOCIATED BY SEVERAL SORTS OF COMPLEXITIES. IT IS SO DIFFICULT FOR USERS TO UNDERSTAND THESE DATA SETS EVEN IF USING VISUALIZATION TOOLS. IN ORDER TO PROMOTE THE PROCESS AND MAKE LARGE-SCALE ONTOLOGIES MORE UNDERSTANDABLE, RANKING ALGORITHMS HAVE BEEN USED. TO THIS END, IN THIS PAPER, WE INTRODUCE A NEURAL NETWORK-BASED RANKING APPROACH WHICH EXPLOITS CENTRALITY MEASURES, NUMBER OF CHILDREN, AND HIERARCHY LEVEL AMONG ONTOLOGY CONCEPTS. THE EVALUATION SHOWS HIGHER PERFORMANCE COMPARED TO EXISTING METHODS.

ASSESSING INFORMATION QUALITY (IQ) OF THE WEB HAS BECOME A REMARKABLE RESEARCH TOPIC IN RECENT YEARS. DESPITE THE GREAT AMOUNT OF SURVEYS CONDUCTED IN THIS FIELD, TO THE BEST OF OUR KNOWLEDGE, SUCH ASSESSMENT HAS NOT YET BEEN INVESTIGATED FROM THE THREE-DIMENSIONAL WEB (WEB3D) POINT OF VIEW. IN WEB3D, INFORMATION QUALITY ASSESSMENT, ISSUES TRANSFORM IN SEVERAL WAYS, AND THE CURRENT METHODS FOR ASSESSING WILL NOT SUFFICE. THIS ARTICLE USES A DESCRIPTIVE APPROACH TO INVESTIGATE SUCH A MATTER. AFTER CATEGORIZING PREVIOUS ACHIEVEMENTS AND ANALYZING THE NEW FORMED SITUATION, SOME INFORMATION QUALITY ASPECTS ARE PROPOSED FOR THE FIRST TIME BASED ON INFORMATIONAL ATTRIBUTES OF THE WEB3D. THIS STUDY WOULD BE USED AS A BASIS FOR FURTHER EXPERIMENTAL STUDIES. IT MAY BE ALSO USEFUL FOR CATEGORIZING THE IQ DIMENSIONS AND METRICS IN THE WEB3D.

THE GIFT SMART CITY WILL BE NEAR 900 ACRES IN SIZE - LESS THAN A TENTH OF DUBAI’S INTERNATIONAL AIRPORT CIRCA 8, 500 ACRES. WHEN WE CONSIDER THE SIZE OF THIS SMART CITY WITH THE TWO MOST SPOKEN UPCOMING SMART CITIES IN THE WORLD, SONGDO (SOUTH KOREA) AND MASDAR (UAE), ARE JUST ABOUT 1, 500 ACRES EACH IN SIZE AND LARGER THAN GIFT. THIS ARTICLE WILL THROUGH LIGHT ON THE GIFT SMART CITY IN DETAIL OF FINANCIAL, GEOGRAPHICAL, POLITICAL, ECONOMIC AND SOCIAL PERSPECTIVE. MORE OVER THIS PAPER IS ALSO CONCENTRATING ON GIFT SMART CITY BUSINESS MODEL. THIS EMPHASIZES HOW THE INTERNET OF THINGS TECHNOLOGIES ARE GOING TO BE DEPLOYED IN THE CITY FOR PROVIDING QUALITY OF LIFE TO CITIZENS.