Semantic Core Parsing in Search Engine Optimization Process

被引:0
作者
Lehkyy, Oleh [1 ]
Pidhurska, Irena [1 ]
Haida, Taras [1 ]
机构
[1] Ternopil Natl Econ Univ, Dept Int Econ Relat, Ternopol, Ukraine
来源
2019 9TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT'2019) | 2019年
关键词
Data collection; Google; Internet; Keyword search; Search engines; Search Engine Optimization; Semantic Core; Web services;
D O I
10.1109/acitt.2019.8779871
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article describes the methodology of competitor's benchmarking regarding internal search engine optimization activities, primary, focusing on competitor's semantic cure parsing and its editing as well as aims on disclosing approximate calculations of resources spent and effectiveness reached. Observation includes small and medium enterprises in business-to-consumers market and business-to business one. All of the investigated firms were not the market leaders, however almost half of them could be considered as market challengers. The research proves that applying specific software and manual algorithms of extracted keywords processing is more effective than using standard keywords builders, including Google AdWords (TM) keyword planner. The analysis has shown that main goal that was set in all the cases - incoming web traffic (both from the context ads and organic search results) increase on a target web-page - has been reached within all the requirements. All the additional spending on mentioned services as well as extra working hours were justified.
引用
收藏
页码:358 / 361
页数:4
相关论文
共 6 条
  • [1] Badrak V., 2014, MODERN PROTECTION IN, P16
  • [2] Dodson I., 2016, The art of digital marketing
  • [3] Kovaljchuk S., 2018, MARKETING DIGITAL TE, V2, P55
  • [4] Pidhurska I., 2018, EC SOC, P552
  • [5] Porter M.E, 1980, COMPETITIVE STRATEGY
  • [6] Reva A., 2015, BUILD SEMANTIC CORE