Monday 17 Oct

PATENTSCOPE is a free patent search system offered by the World Intellectual Property Organization (WIPO). Users can search in 52 million patent documents covering 2.9 million published international patent applications (PCT) and many patent collections from national IP authorities.

The system is being constantly enhanced, for example, by the addition of new patent collections, new functionality or additional languages in the user interface.

The last big step forward in this evolution was the addition of chemical search capabilities, accomplished using InfoChem’s text- and image-mining technologies. An automatic workflow was developed and put into operation allowing real-time, multi-modal chemical text annotation and image recognition.

This talk addresses the technical challenges encountered such as OCR quality, scalability, performance and parallelization.

Besides the hidden deep web, the chemistry content of the visible web is also, more often than not, poorly indexed and difficult to search using the standard search engines. Since 2008 ChemAxon started to experiment and created Chemicalize by combining a chemically intelligent indexing and search system with a crowdsourced web exploration method. After 8 years of successful operation and continuous development, we can summarize now our results and we are happy to introduce our next-generation chemical web search and property calculation platform, the New Chemicalize.

Developed for Life Science, Biologics, Cosmetics, Nutrition, Polymers, Material Science and Chemistry, ChemAnalyser is the latest generation of chemical knowledge database. Innovative and unique IT technology provides access to the world’s most com­prehensive source of chemistry related information in different languages. The easy-to-use and fast online platform fulfills the highest standards in data retrieval and data mining.

Usability and practice

• Novel and innovative cognitive searching including parents, children, synonyms, structures and languages.
• Benchmarks confirm the high quality of the hits through context-based structural and non-structural research.
• Co-occurrences: Idea generator for alternative applications

Recent years have seen an explosion of data and metrics available to examine new findings in research and the people behind them. As these are based on research outputs (especially publications) the information available can only ever indicate advances in the recent past. Even with the advent of preprints and out-of-publication data sharing, a full understanding of research direction is not available unless the inputs into the research environment are considered. By examining research funding, a forward-looking approach can be taken to actively examine what is going to happen in the future, and use this as a basis for strategic planning.

Data on which researchers have been funded, by which funding institutions and to do what research, provides the best basis with which to analyse future research trends. What will be the big topics in the next 5 years? Which direction are the big players in the field going? These types of questions can only be answered by analysing grant funding. Funding information provides a unique insight into aspirations within the research community, and these types of questions can only be fully addressed by analysing research inputs rather than outputs.

Combining and linking funding data with other “traditional” data sources enables a more complete overview which can then be used to inform predictive studies and trend analysis, ultimately producing a better understanding of the entire research landscape now and in the future.  

Information flow can be an important factor in understanding for how long the 'commercialisation window' can be open. Open for investment seeking, open for collaborative partner identification. In this talk Jane will call upon experience gained working with companies bringing innovative technologies into the market place to review handling information flows; including when to seek external information, the type of information needed, patent, IP, financial, market, company, technical, and how this can help with decision making.

Innovation has become a commonly used expression to characterize progress in general. However, in the context of leading edge innovation, which means to bring a new product or feature from idea to market success, very distinct key decision factors have to be taken into account. In particular, the innovator needs a solid set of techniques and tools for the transformation of his idea into meaningful and useful concepts for business analysis and decision purposes. Based on more than 50 years of experience in "data surfacing", we will outline how we can handle today large amounts of unstructured data to help identify, develop and otherwise create new strategic innovations and business opportunities. The goal of the presented approach to Business Intelligence is to allow for the easy assembly and interpretation of large volumes of information, be it in the area of patents, of literature, or in the deep web. We discuss concrete and practical examples of identifying new opportunities and implementing an effective strategy based on insights that can provide businesses with a competitive market advantage and long-term stability.

Innovation often requires inspiration, whether it is building on existing research or connecting the dots between various pieces of work. To reach such inspiration one must keep up with all the discoveries that are published every day in all scientific literature whether in patents or journal articles. Statistical analysis and graphical representations are efficient approaches to uncovering scientific domains such as chemistry, searching for innovation and finding relevant original research work. This presentation will demonstrate Intellixir’s approach in the quest for innovation in the area of chemistry.