To survive amid fierce global competition, companies’ investment in R&D has increased a great deal. Nevertheless, the results are decreasing. Now more than ever, companies need to invest and establish a reasonable and wise R&D policy by predicting markets, and technologies and analyzing data, instead of developing technologies based on experience and intuition. Experience for yourself Saltlux‘s new technology analyses, sensing technology, and predicting solutions verified by global companies and public institutions.
- Customer Problems
Development strategies, competitive strategy and patent strategy to develop the new generation technologies and products with global competitiveness is increasingly difficult to guarantee and decide. Investment risks have also greatly increased.
- Introduction Effects
Secure strategic IPR and improve R&D performance through responses to rival companies and technologies. Understanding and predicting global technology trends, and analyzing R&D contents within and beyond an organization.
- Main Functions
Recommend customized information, search for similar documents, analyze emerging technologies, related technologies, and trends, integrate indexing, and collect technology news, research reports, technical documents, papers, and multilingual patents including Korean, English, Japanese, Chinese, and others.
- Built-in Products
DISCOVERY, BLUEBOLT, TORNADO, RAINBOW
- Major Customers
Samsung Electronics, LG Electronics, Korean Intellectual Property Office, Korea Institute of Science Technology Evaluation and Planning, National Research Foundation of Korea, Korea Institute of Science and Technology Information, and others.
A variety of Internet content types are increasing at unprecedented rates. Among the abundance of content, users identify the content that they are interested in by utilizing individual knowledge through a search engine or search technology. However, it is difficult to discern the significance of the time series and the amount of information developed from which web world or region.
Google provides trend analyses through ‘Google Trends’, which is a search query ranking analysis service. However, it still has limits on expressing popular search terms or which search terms queried on the search system are statistically analyzed. Trend analyses can analyze generation/utilization/trends rather than find fragmented knowledge, by analyzing the occurrence tendency or suggesting relationships of certain knowledge through analyses of contents generated within a domain or on the web. A trend analysis function is used in automatically analyzing worldly concerns or social issues by analyzing contents on various bulletin boards, tweets, blogs, and web pages on the web, and can also be effectively used in analyzing high-quality content generated from corporate activities. The value provides ROI, which can be connected with profit activities.
The types of documents that accompany business activities vary, but the knowledge related to technology holds the key to business sustainability. In addition to the internally generated knowledge, the externally generated and collected technical documents are crucial for management. In recent years, patent management and convergence technologies have become especially important. However, it is difficult to review or analyze all contents, as mass technology documents are generated according to knowledge activities. Text mining technologies are useful in conducting trend analyses of technical documents such as patents, papers, knowledge documents, and more.
Sensing, a new technology, plays a role in understanding the trends of future R&D technology. It helps decision-making and research/development of products. To promote research and development, including the development of new technologies and new products, companies need to analyze R&D trends such as technologies and prior patent investigations. For R&D employees, it is necessary to find convergence patterns between homogeneous/heterogeneous technologies on the level of detail technologies. At the same time, the importance of finding future technologies and future products which can be applied to the products on the level of individual products is currently increasing. Sensing performs diachronic analyses and synchronic analyses that provide relationship analyses, emerging technology analyses, and technology trend analyses between technologies.
Sensing systems are divided into batch form analyses, indexing processes, and services search processes. In particular, two kinds of analyses are performed: Diachronic analyses, which use statistical analyses and regression analyses; and synchronic analyses, which are conducted through topic-ranking algorithms.
Analyzing synchronic phenomenon search based on query language entered by users. Thereby suggest relationship network information of keywords through topic-ranking analyses of keyword vectors of the search result documents.
Analyzing diachronic phenomena and analyzing document information entered periodically by unit time. Based on the analysis results, suggest technological terms which increase/change at the relevant unit of time by order.
Technologically advanced countries decide their R&D direction after predicting future technologies based on their patent portfolio and R&D know-how. Trend analysis (sensing technology) systems provide the guidelines to make decisions about uncertainty in the future. It also provides the opportunity for an intensive review of main concerns. Functions provided by trend analysis systems fulfill their duty, thereby efficiently capitalizing vast amounts of internal and external documents.