Analyses of New Technology, Sensing, Predictive Solutions
Though companies’ investment in R&D has increased a great deal in order to survive amid fierce global competition, the results are nevertheless decreasing. Now more than ever companies need to invest in and establish a reasonable and wise R&D policy by predicting markets and technologies and analyzing data, not developing technologies based on experience and intuition. Experience for yourself Saltlux’s new technology analyses, technology sensing, and predicting solutions verified by global companies and public institutions.
- Customer Problems
It is increasingly difficult to secure and decide patent strategies, competition strategies, and an R&D direction to develop the next generation technology and products that can compete globally. Investment risks have also greatly increased.
- Introduction Effects
Able to secure strategic IPR and to improve R&D performance through responses to rival companies and technologies, understanding and prediction of global technology trends, and analyses of R&D contents within and beyond an organization.
- Main Functions
Recommendation of customized information, searching for similar documents, analyses of emerging technologies, related technologies and trends, integrated indexing and collection of technology news, research reports, technology documents, papers, 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 they are interested in by utilizing individual knowledge through a search engine or search technology. It is, however, very difficult to understand how much amount of information the searched information has and what significance it has in time series on the web.
Google provides trend analyses through ‘Google Trends’, search queries ranking analysis services. However, it has limits on expressing with popular search terms 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 also important to be managed. 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 technology 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 and helps decision-making and research/development of products. It is essential for companies to analyze R&D trends such as technologies and prior patent investigations when promoting research and development including the development of new technologies and new products. It is important for R&D employees to find convergence patterns between homogeneous/heterogeneous technologies on the level of detail technologies. 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, a new technology, performs diachronic analyses and synchronic analyses that provide relationship analyses, emerging technology analyses, and technology trend analyses between technologies.
Sensing systems are divided into analyses of batch forms, indexing process, and search process for services. In particular, two kinds of analyses are performed: Diachronic analyses, using statistical analyses and regression analyses; and synchronic analyses, which are conducted through topic-ranking algorithms.
Analyses of synchronic phenomenon search based on query language entered by users suggests relationship network information of keywords through topic-ranking analyses of keyword vectors of the search result documents.
Analyses of diachronic phenomenon analyze document information entered periodically by unit time. Based on the analysis results, it suggests technological terms which importantly increase/change at the relevant unit time by order.
Technologically advanced countries decide their R&D direction after predicting future technologies based on their own patent portfolio and R&D knowhow. Trend analysis (sensing technology) systems provide the guidelines to make decision about uncertainty in the future and prepare the opportunity for intensive review of main concerns. Functions provided by trend analysis systems fulfill their duty, thereby efficiently capitalizing vast amounts of internal and external documents.