Patent Information Users Group, Inc.

The International Society for Patent Information Professionals


PIUG 2017 Annual Conference
An International Conference for Patent Information Professionals

The Complete 21st Century Patent Searcher —
Addressing Our Skills Gaps

Saturday, May 20 - Thursday, May 25, 2017
Crowne Plaza Atlanta Perimeter at Ravinia
4355 Ashford Dunwoody Road
Atlanta, GA 30346
+1-770-395-7700

Twitter: #PIUG17

Preliminary Program

The PIUG is pleased to announce the preliminary list of presenters at the Plenary Sessions for the PIUG 2017 Annual Conference. When planning your trip to the conference, please keep the following events in mind so that you do not miss out on a valuable opportunity.

PLEASE BE ADVISED that attendees and speakers who are not members of PIUG will not have post-conference access to the conference presentations posted on the PIUG wiki, which is a PIUG member benefit. To enable post-conference access to PIUG conference presentations, and to also save significantly on PIUG conference registration fees, BECOME A MEMBER of PIUG by going to the PIUG Membership page.

Conference Program at a Glance

See the Conference Overview page.

Registration

The deadline for Early-bird registration is April 1, after which rates will increase. Register NOW. Rates are available by clicking details under the PIUG 2017 Annual Conference on the PIUG Calendar Page.

Preliminary List of Presenters

Please note that the speakers listed below will be updated and session details published as the Program Committee and likely participants work out the remaining commitments. Accordingly, please monitor this web page for updated information.

Keynote Address
Nicholas Belkin, Rutgers University

We are excited to announce that Nicholas Belkin, Distinguished Professor of Information Science, Department of Library & Information Science, School of Communication & Information at Rutgers University will present the keynote address at the conference.

Bringing Clarity to your IPR+D Search and Intelligence through Right Combination of Technology and Human Expertise [Emerald Sponsor Presentation – Evalueserve]
Anoop Sankar, Evalueserve

Abstract

Expert searchers and in-house IP and R&D analysts are faced with a big challenge – how to strike the right balance between ensuring accuracy and effort investment. Evalueserve has developed some best practices to help them. Based on 10+ years of IPR+D experience and our Mind+Machine approach, these best practices suggest the right combination of technology and human expertise to address this key search challenge.

In this year's PIUG, we will share some best practices around IPR+D search, as well as use cases related to building comprehensive search queries using the right technology. For example, we will discuss the use of text analytics for informed decisions on the scope of search and intelligence projects. We will also highlight how text analytical tools like KMX can be combined with human expertise for additional searches, tagging, and result sorting.

Biography

Anoop Sankar heads Evalueserve's IP and R&D operations in North America. He has been with Evalueserve for more than a decade and was leading the IP Life Sciences practice before moving to the US in 2014. He works closely with Evalueserve's account managers in North America, oversees key client accounts, and interfaces between the operations team and clients to provide his IP expertise. Anoop holds a master's degree in plant pathology with specialization in molecular biology. Prior to joining Evalueserve, he was involved in transgenics /recombinant engineering research.

Search Technology: Patent Information from Our Vantage Point [Emerald Sponsor Presentation – Search Technology]
Nils Newman, Search Technology

Abstract

This year marks Search Technology's twentieth year of helping companies analyze patent information. From our vantage point as software developers, we have watched with great interest as patent data evolved from a highly specialized, expensive resource to a relatively inexpensive commodity available to all. How has this change influenced our design of the tools you use? What impact will the democratization of patent information have on the future? What is the role of the specialist in this new environment? The changes over the last twenty years provide both challenges and opportunities as we plan for the next twenty years.

Biography

Nils Newman is the President of Search Technology in Atlanta, Georgia, USA. For over two decades, Mr. Newman has worked on the development of analytical tools to assist in the management of technology. His work focuses on the use of bibliographic and patent information in research evaluation, competitive intelligence, and strategic planning. Mr. Newman has a Bachelor of Mechanical Engineering and an MS in Technology and Science Policy from Georgia Tech. In his spare time, he continues to pursue a PhD in Economics from UNU-MERIT at the University of Maastricht in the Netherlands studying the economics of technical change.

Timelines: A Visualization Option for FTO Analysis Built with Bizint Smart Charts and Visio 2-Visualisation Tools [Sapphire Sponsor Presentation – Bizint]

Gregory Roland

Abstract

Organizations initiating a research project which requires a large commitment of both people and resources will routinely conduct a freedom to operate (FTO) or clearance search to determine whether aspects of the project in question infringes valid intellectual property (IP) rights of others. Timelines provide a foundation for the patent attorneys' FTO analysis. With a combination of BizInt Smart Charts and Visio we can use the same data provided in the search report to generate this key visualization.

Frequently the patent attorney will sketch out a time line of search results to understand the order of events relative to dating and geographic coverage of the patents and non-patent references to identify potential issues. By ordering the patents/published applications by priority date and non-patent references by publication date issues can be identified. Including published applications in the timeline offers the decision maker the ability to make educated guesses about the scope of claims likely to issue. Finally, it provides insight into possible interferences. For example, it reveals IP that represents prior art against newer patents or the dominance of earlier, broader patents over later, narrower patents. Analyzing the priority timeline will reveal whether some patents should be licensed or designed around by developing alternative technology. This analysis will also reveal key IP thereby asserting leverage to seek higher license fees.

Instead of manually creating the view of the patent timeline we present options on how to create a presentation quality view via an export from BizInt to Visio that can reveal potential issues that can be shared with management and has the potential to be updated. With BizInt Smart Charts we import, combine and integrate the data used to generate the timeline in Visio.

Biography

Pending.

Artificial Intelligence, Machine Learning, and Deep Neural Networks: What Does All of this Have to do with Patent Analytics?

Abstract
Parthiban Srinivasan, Parthys Reverse Informatics

When new technologies become easier to use, they transform industries. That's what's happening with artificial intelligence (AI) and big data. Machine learning is often described as a type of AI where computers learn to do something without being programmed to do it. Deep learning, a subset of machine learning, is proving to work especially well on classification. Big breakthroughs happen when what is suddenly possible meets what is desperately needed. For years, patent analysts have been searching and reviewing terabytes of information, not only patents but also non-patent information. Not only to find prior art but also to identify patents of interest, rate their quality, assess the potential value of patent clusters, and identify potential business partners or infringers. With the rapid increase in the number of patent documents worldwide, demand for their automatic clustering/categorization has grown significantly. Many information science researchers have started to experiment with machine learning tools, but the adoption in the patent information space has been sporadic. In this talk, we aim to review the prevailing machine learning techniques and present several sample implementations by various research groups. We will also discuss how data science compares with machine learning, deep learning, AI, statistics and applied mathematics. Deep learning technique, which is at the centre of the current boom in AI, relies on simulating large, multi-layered webs of virtual neurons, which enable a computer to learn to recognize abstract patterns, such as cats in images. Deep Learning has begun to be experimented for some of the natural language processing tasks, most promising work is moving around Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). It is important for patent analysts to understand how they work, rather than treating them as infallible "black boxes." The principles are easy to grasp and one does not need to be an expert to appreciate the potential of this subject.

Biography

Srinivasan Parthiban is the founder of Parthys Reverse Informatics, a leading information research which supplies solutions for all the aspects in Patent Analytics, Drug Discovery Informatics, Data Analysis and Data Cleaning. Parthiban Srinivasan earned his PhD from the Indian Institute of Science, specializing in Computational Chemistry. He holds dual Masters Degree- one in Science and the other in Engineering. He has authored several international and national research publications and a Chapter in a book. He is a regular speaker at international conferences. He worked for NASA Ames Research Center (USA), Weizmann Institute of Science (Israel) and AstraZeneca. Later, Parthi moved into Contract Research Organizations in India, where he headed Knowledge Engineering Business Units. Parthi is a regular attendee of PIUG annual conferences and exhibited four times at the PIUG conferences (2009 -2012) in the past and attended PIUG meeting as speaker three times in the past.

A Real Patent Searcher Should Perform Beyond Just a Patent Searcher
Rong Yang, Allergan

Abstract

Often in the real business world, the question imposed to a Patent Searcher is far beyond just patent information. For questions like "If there is biosimilar attempt?", "How quickly an ANDA will appear for an antiacne drug?" or "Is this the only multi-dose dry eye product without preservative?" a Patent Searcher has to brainstorm the possible sources and weave the information together to provide an informed story.

Biography

Pending.

The Enhaced Patent Quality Initiative and Search: A Brief Timeline with Options for the Future

Abstract
Robert Grantham, Reveal-IP LLC

For a number of years there has been increasing complaints about the quality of issued patents. In 2011 The America Invents Act Passed and Post Grant Reviews became a reality. IPR's, one post grant procedure, can only be brought on prior art grounds and have overturned a significant number patents. This has created much uncertainty for applicants and negated the Presumption of Validity. The Enhanced Patent Quality Initiative came into existence in February 2015. Since the inception of the Initiative the PTO has forwarded two proposals for search: Crowded Sourcing and the Automated Pre-Examination Search. More recently, outside studies have shown comparative differences in both search procedure and search product between the USPTO and the EPO, as well as other foreign Offices. The US private sector also provides a comparative model. At this stage of the Patent Quality Initiative it would appear the Office has three options to address the patent quality issue from the prior art side of the problem. However, besides crowd sourcing and the pre-examination search, the Office has been silent on the issue. The Office, as the Controller of all things patent, must initiate a dialogue that asks hard questions and encourages novel thinking so that a path forward that attacks the prior art problem at its source can be found.

Biography

Pending.

Jumpstart: Patentscaping for R&D
Kris Atkinson, A/A Patent Investigations

Abstract

A key feature of our mission as patent searchers has been to show that an invention hasn't been thought of or in existence previously. In the main, our clients have been commercial entities who wish to market a product or their outsourced legal representatives: their interest in what's out there is less explanation-intensive than for laboratory or skunk works personnel, who often want to know how others have tackled their problem. They usually are minimally acquainted with patent data as a creative scientific resource.

The patentsphere provides reviews, interpretations and motivation that may not filter through the confines of peer-reviewed professional literature. It also contains data not available elsewhere, such as in proprietary gene sequences or unpublished experimental results. Through a patent-derived channel of analysis, the patent professional can deliver a competitive advantage to development teams and proactively jumpstart brainstorming sessions.

This presentation will explore the rationale and ways of integrating a patent landscape into a research feasibility effort and how to benefit from understanding the thinking and focus of academics and research professionals. With the high market value of intellectual property not yet reduced to practice, generating new or broader IP represents an avant-garde opportunity moving beyond evidence, diligence and proof.

Biography

Pending.

Quick Automation or Laborious Manual Tagging – Finding the Right Balance
Andrea Davis

Abstract

As automation takes a more prominent role in patent analytics, it is important to understand the level of accuracy in those processes. The presentation aims to compare manual classification of a patent data set with different levels of incorporating automatic features of patent search tools working with the same data set.

Biography

Pending.

Patent Analysis and Visualization: An Update on Challenges and Opportunities
Nils Newman, Search Technology

Abstract

Patent analysis is not a simple process. It is a complex procedure that incorporates a variety of different mathematical, statistical, and algorithmic techniques many of which are still evolving. This presentation outlines some key research areas used by developers of patent analysis tools. It also addresses the limitations of current techniques as well as the opportunities presented by emerging areas of research. The goal of the presentation is to help the audience sort out what is and is not possible with today's patent analysis software and to suggest some of the prospects the future might hold.

Biography

Nils Newman is the President of Search Technology in Atlanta, Georgia, USA. For over two decades, Mr. Newman has worked on the development of analytical tools to assist in the management of technology. His work focuses on the use of bibliographic and patent information in research evaluation, competitive intelligence, and strategic planning. Mr. Newman has a Bachelor of Mechanical Engineering and an MS in Technology and Science Policy from Georgia Tech. In his spare time, he continues to pursue a PhD in Economics from UNU-MERIT at the University of Maastricht in the Netherlands studying the economics of technical change.

Abstract
James Durkin, IP.com

Converting Patent Data into Impactful Visuals That Reveal and Summarize Trends and Points of Interest to Enable IP Portfolio Analysis, Competitive Intelligence and Market Research.

Abstract

In this presentation, we will demonstrate using visualizations to narrow a query; create a targeted portfolio and select similar result sets on a semantic map; how to chart multiple portfolios, and easily generate and export reports.

Biography

As Sales Engineer, Jim is responsible for supporting the IP.com and IEEE sales teams with IP.com's semantic search platform InnovationQ Plus. He formerly worked as a Patent Examiner for the USPTO. Jim holds a Juris Doctor from Boston College Law School, where he graduated cum laude, and a Bachelor of Science degree in Computer Science from Rochester Institute of Technology, where he graduated with highest honors.

Single Pass Numerical Matching – a Linguistic Solution to Numerical Searching
David Woolls, CFL Software Limited

Abstract

This presentation describes a method of analysing the abstracts and claims of patent documents to extract the numeric values linked to specific items such as % composition or mechanical properties. This is a complex issue because natural language provides so many ways of connecting the numerical values to the item referred to and with patents there is an additional problem of setting the numerical information in the context of the patent claim. The authors have collaborated to develop a language based approach to solving this problem. An initial focus was to identify the numeric ranges for a number of elements in metal alloys and compare them with the range being searched for. We will briefly describe the collaborative process, then present the results and explain how this is a generic solution, rather than specific to the original requirement.

Biography

David Woolls first qualified and then practised as a chartered accountant until his early thirties before gaining a degree in Theology at the University of Oxford and eventually moving to the area of computational forensic linguistics in his forties. He is the founder and current Chief Technology Officer of CFL Software, a company specialising in the close comparison of electronically held documents. He is the author of the plagiarism detection program CopyCatch Investigator, which has been widely used in education since the late 1990s. In parallel he has overseen the development of bespoke linguistically-based solutions for government departments, professional bodies and the commercial sector, as well a developing a recent interest in the field of patent search and comparison.

Locating Unconventional Prior Art
Ron Kaminecki, Questel

Abstract

Classic search techniques include the use of keywords, class codes, citations, semantics, and even specific identifiers, like genetic sequences, for locating unique information. But in an era of fast changing technologies like communications, social media, or even nanotechnology, amongst others, these typical search approaches may not be able to keep up with the fast turnover of very new inventions. For example, a search on telecommunications may easily find early mobile phone patents, but who would buy a patent for a five year old cellular phone? The lifetime of trendy new patents is fleeting and using traditional techniques to find transitory inventions may not find the latest technology. The classic approach to searching still works, but in some cases outlook and strategies need to be reworked to keep up with fast-changing technology. This presentation will cover examples of emergent technologies over time and strategies for locating prior art in these transient areas of technology.

Biography

Ron continues to help patent searchers, inventors, examiners, attorneys and other patent professionals in his role at Questel and also as an adjunct professor in patent law at various universities, having worked at Dialog, Thomson-Reuters, Abbott Laboratories and others. He has worked with patent and patent information all of his career as a searcher, manager, representative, consultant, expert witness and attorney and is also involved in PIUG activities. He has written many articles and presented many papers in the field of patent information, has a patent pending, and is a co-author of NISO Standard for a Common Command Language for Online Interactive Information Retrieval. He has a BS in Chemistry, an MS in Computer Science and a JD with a Certificate in Patent Law. He is a US Patent Attorney and is a member of the Illinois Bar and is admitted to the Northern District Court of Illinois.

Abstract
Barbara J. Hampton, RedLine Information Services

Fast, Free, and Available: A Shunpiker's Road to NPL Databases & Grey Lit in the Library and Online

Published information about prior art, inventors, and intellectual property portfolios is a cornerstone research for patentability, infringement, and competitive intelligence. However the subscription costs for individual periodicals is high, broad-based periodical databases even higher. Larger patent firms and departments may have organized research libraries and librarians to support these searches. Resources available, particularly for small patent information firms, can be greatly enhanced (at much less expense) through the savvy use of public and academic library collections and grey literature. More and more academic libraries have developed institutional repositories of research papers, theses, and papers. Remote online access is available for more than you realize. Get insider tips to maximize your efficiency and access to these collections, including professional journals, specialized news sources, and hidden gems. Cut through a wide range of content with latest discovery tool machete. Create custom searches and alerts. Get full-text, one way or another.

Biography

Pending.

Patent Information Analysis for Creating New Business
Jo Sagawa, AsahiKASEI Corporation

Abstract

The Asahi Kasei Group is a diversified chemicals manufacturer in Japan with net sales of approximately 16 billion US dollars and operating income of approximately 1.5 billion US dollars. The Technical Information Group, one of the sections of the intellectual property department, have been conducting necessary investigations at key stages of IP activities, bearing the watchword "patent search is the essence of IP management" in mind, and we have developed the foundation for appropriate investigation. We are proud that we have established a position as a front runner in the Japanese patent research industry. In recent years, the Technical Information Group have enhanced its mission, namely, have been strengthening analysis of patent information, so as to contribute to business projects in the Asahi Kasei Group. We have focused on looking at IP situations of the entire Asahi Kasei Group companies from an objective standpoint of view in thorough comparison with competitors in various technical fields relating to our business. Now, we are trying to establish such analytical methods that contribute to the creation of new business that is required in recent years. Although it is very challenging, we have achieved results in several themes by making full use of our IP foundation and latest patent analysis tools. In this presentation, we introduce examples using recent patent analysis tools entitled "Patent Information Analysis for Creating New Business".

Biography

I joined Asahi Kasei corp. in 2006, and was assigned to the IP department. In 2013, I transferred to the new business development department. I had been engaged in planning and strategizing planning for new business / research theme for 3 and a half years. After that, I came back to the IP department in 2016. Now, I am doing patent search and analysis. I have the qualification of the Senior Intellectual Property Analyst(a national qualification).

National IPR Policy of India and Its Implementation
Raj Hirwani, CSIR-URDIP

Abstract

The Government of India announced its first National Intellectual Property Rights Policy in May 2016. This Policy aims to integrate IP as a strategic tool in national development plans. It seeks to reinforce the IPR framework in the country that will create public awareness about economic, social and cultural benefits of IPRs among all stakeholders, stimulate IPR generation and commercialization, modernize and strengthen service-oriented IPR administration as also the enforcement mechanisms for combating IPR violations. The policy document lays the roadmap for the future of IPRs in India and is expected to promote a holistic and conducive ecosystem to catalyse the full potential of intellectual property for India's economic growth and socio-cultural development, while protecting public interest. This presentation will give broad contours of the National IPR Policy, the objectives that are sought to be achieved through detailed action points and implementation plans as well as progress made so far.

Biography

The speaker until recently was Head of IP Directorate at Council of Scientific and Industrial Research (CSIR) which is responsible for running national laboratories in civilian sectors of economy in India. Presently he is Technical Adviser at CSIR's Unit for Research and Development of Information Products which is extensively involved in Patent Informatics activities.

Soft Skills, Neglected Features in a Hardcore Technical Environment
Bodil Hasling, Danish Patent and Trademark Office

Abstract

Patent professionals often have all their focus on the technical skills and the search skills. However, a very important part of the job is also the work done before starting the search. That is how to achieve the best information on e.g. the purpose of the search, expectations to the result and clarification of technical matter. Important are also the content of the report and the way of reporting, including explanations on why we did as we did. Here the understanding of the search has to involve a lot of other skills mostly related to communication. The session will mainly focus on the use of different kinds of communication during the processes involved before, under and after a search and how profound customer communication as well as between colleagues before and during search execution can improve the overall result. Examples on benefits of communication will be part of the session.

Biography

I hold a Master's degree in Food Science and Technology from Copenhagen University and works as a senior examiner at the Danish Patent Office/the Nordic Patent Institute within the chemical area. Previously I have worked as a patent information specialist at a medico company, where the search areas were medical technology, polymers, sensors and measuring methods within the life science area. Before this I worked as a patent attorney in the chemical department of a patent agency.

Industry 4.0 and the Role of Patent Information in Innovation: EPO Perspective
Nigel Clarke, European Patent Office

Abstract

Industry 4.0 is testimony to the disruption that new technologies bring across the societies in which we live and work, and the world of IP is no exception. The EPO is preparing to adapt its patent processes, and the way it handles patent information as the disruption will affect patent searching. But who are the current and potential future users of patent information and what do they use it for? The EPO has carried out research to identify the role of patent information in the innovation process. Whilst validating assumptions, the research results also brought to light new findings which will trigger a number of actions from the EPO. This presentation will give the EPO perspective on the future of patent information against the backdrop of innovation and industry 4.0.

Biography

Pending.

Auto-identification of High Emergence Patents
Alan Porter, Search Technology

Abstract

Indicators of technological emergence promise valuable intelligence. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence indicators deriving from those scores. Primary emergence indicators identify "hot topic" terms, then use those to generate secondary indicators that reflect organizations, countries, or authors especially active at research frontiers in a target domain. We also flag abstract patent records rich in emergent technology content. We show results for dye sensitized solar cells, an intriguing nanotechnology-enabled energy technology.

Biography

Alan Porter is Professor Emeritus and Co-director of the Georgia Tech Program in Science, Technology & Innovation Policy (STIP). He is also Director of R&D for Search Technology, Inc., Norcross, GA (producers of VantagePoint and Thomson Data Analyzer software) He is author or co-author of some 240 articles and books, including Tech Mining (Wiley, 2005) and Forecasting and Management of Technology (Wiley, 2011). Current research draws on National Science Foundation support to investigate technical emergence scoring. Publications available at: http://www.researchgate.net/profile/Alan_Porter4.

Study on the Effectiveness of "A SWOT Analysis"
Tsutomu (Ben) Kiriyama, Raytec Ltd.

Abstract

Study on the effectiveness of "a SWOT analysis" based on Japanese patent/non-patent information, to design (build up) the company's strategy of R&D and/or IP.

In private companies, patent searcher often takes part of some theme searches. The results of those researches are often used to build up the strategy of R&D and/or IP. It is one of the most appropriate methods for searchers, so that we are tackling with strategy planning by "a SWOT analysis" of patent/non-patent information for several themes. Case studies are done against Japanese patents, for example, 1. Seismic isolation 2. Thermal barrier paint 3. Walking support system On this presentation, we conclude "a SWOT analysis" is effective method for building up strategies for R&D and IP through those case studies.

Biography

Pending.

Seeing Our Work Through Other Eyes: Talking to Engineers About Patents and Patent Information
Cathy Chiba, Dauratus Research

Abstract

As patent information practitioners, we have highly specialized expertise. Our knowledge makes our skills unusual and uniquely valuable, but it also makes us vulnerable, because few people truly understand what we do.If we want to understand how to communicate our value to the people we serve, we need to understand how our clients and potential clients think about patents and patent information. If we are information specialists, we may see the problem as an information problem: a gap between what they do know and what we think they should know. To persuade others of the value of patent information work, however, we need to understand their initial positions. What do they assume? What do they believe? And, perhaps critically, how do they feel about the role of patents and patent information in their professional lives? If those we wish to help have negative perceptions of patents, patent information, and patent information specialists, then our patent education efforts may be doomed to failure unless we address the perceptions first.

Biography

Pending.

PATENTSCOPE Functionalities
Iustin Diaconescu, WIPO

Abstract

The latest PATENTSCOPE functionalities such as the chemical search , the neural machine translation, the integration with the Global Dossier, the data coverage and some other UI changes.

Biography

Pending.

Prior Art Searches at Various Levels of Product Pyramid – A Startup Perspective
Vivek Doulatani, Ather Energy Pvt. Ltd

Abstract

A new product or its improvements involve multiple stages of development and may be visualized as a pyramid. These multi-stage developments should be driven with the right kind of prior art search and analysis. But what is also important is that each of these searches are being done at the right stage of the development and with a proper depth. For example, patentability and infringement searches should be carried out at various levels of product pyramid for a single invention and the depth at which these searches are conducted will be different at different levels. Having an unstructured approach of conducting prior art search towards a structured product pyramid may distort the pyramid itself. The distortions may be in terms of infringements, loss of priority and frivolous filings. Also with products being smart, it becomes imperative to move cross domain and conduct cross domain searches. The paper proposes to present a structured approach towards conducting prior art searches in terms of what search may be carried out at what level of the pyramid and how deep with an intent to facilitate a guided and an informed development of the product pyramid.

Biography

Vivek has a Masters in Engineering (automotive) and a Masters in Intellectual Property. He has more than seven years of experience in patent searching and analytics. He currently leads the department of intellectual property at an automotive start-up company (based in Bengaluru, India), Ather Energy which is involved in research, design, development, and manufacturing of India's first smart electric scooter. His present role includes, creating, and managing intellectual property portfolio from ground up, at the same time aligning and leveraging company's intellectual property for business development. He has developed a patent search tool by creating a concordance between industrial sectors and IPC/CPC classification, to ease the process of searching. He has filed for five patent applications as an inventor. He also helps in creating IP awareness in engineering colleges by delivering talks, guiding, and helping them, draft and file patent applications.

Machine Translation of Patents. Here to Stay?
Jane List, Extract Information Limited, and Editor-in-Chief World Patent Information

Abstract

A brief history of machine translation (MT) for patents. Where are we now? A review of some current MT techniques and a look at the good, and the 'could be better' with real examples. The dual purpose of machine translations – for search and for understanding. How to cope with searching machine translations. Reaching an understanding of the invention and the scope of protection using machine translations. How has the existence of bulk machine translated collections influenced our approach to search and analysis of patent documents?. How are developers of MT collections managing their collections as MT itself improves? How should we eport results when MT documents are cited. This talk aims to provide a review of the current situation and will conclude by exploring the future of MT, and how human assisted MT (HuMT) for patents, and the newer neural, NMT techniques can assist retrieval and analysis of patent documents.

Biography

Jane List runs her own business, Extract Information Limited, which she founded in 2013. Extract Information provides consultancy, search services, and training, all with a focus on commercial uses of patent information. She is currently helping her clients manage their IP portfolios, build IP strategies and policies, file strong patents, understand competitor patents, understand the technology landscape, understand the market(s) for their technology, track their industry, find new customers and markets. Jane has BSc. in Chemistry, MSc. in Information Science and Cert. in Intellectual Property Law. She is a Member of the Royal Society of Chemistry, PATMG and PIUG. In July 2014 she became co-Editor in Chief of World Patent Information Journal, and is now Editor in Chief. Underlining her passion for patent information this year Jane co-founded the Cambridge Information and IP Meeting. In the UK as an annual meeting and to provide training in IP information and commercialization.

Finding Formulations: Challenges and Opportunities
Matthew McBride, ScienceIP (CAS)

Abstract

Chemical formulations are a key aspect of many innovative new products across a broad range of industries including pharmaceuticals, cosmetics, building materials, agriculture, and consumer goods. It is therefore important that IP searchers can effectively and efficiently identify and analyze patents, literature, and other potential sources of formulations information. However, though formulations are easy to find in our daily lives, tracking them down in IP searches can present significant challenges. This talk will highlight current opportunities and challenges in searching formulations, offer some techniques and tips to optimize your search approach, and consider new possibilities for making formulations information more discoverable in the future.

Biography

Matt is celebrating 13 years of employment with CAS. He joined CAS as an Applications Specialist, and his duties included providing STN and SciFinder technical training to CAS customers. Matt now works for Science IP, the CAS search service. He joined ScienceIP in 2010, and now manages the service. He holds a Master of Science degree in plant pathology from the University of Minnesota and a Bachelor of Science degree in molecular biology from Purdue University. In addition to his research experience at CAS, Matt was an information consultant with Thomson Reuters and a biologist at Rohm and Hass. Matt is an enthusiastic supporter of PIUG and is a member of the American Chemical Society (ACS).

Finessing Patent Related Information – Utilizing New Resources Using "Old School" Techniques
Barbara Miller, Novartis Institutes for Biomedical Research (NIBR)

Abstract

As a patent searcher, you now have available to you a wide range of resources containing patent and related information. Gone are the days of waiting in the mailroom for the new database publications to arrive in print; rather, the difficulty we now face is the seemingly endless number of patent and non-patent databases, websites, blogs, media outlets, and even social media platforms. How can you possibly cover all of the different options, not miss anything, and meet the client's two week deadline? Is there a better/easier/faster way to find relevant information? Can you apply the techniques that you already know to the new digital information sources? Let's discuss how to upgrade one "old school" approach, finding related references using classification codes, using "new" CPC codes. This approach allows us to utilize the knowledge and expertise of our colleagues at the patent offices- talented individuals who continue to develop new codes to characterize emerging concepts in the patent literature. "Old school" approaches can also be used to examine some of the modern information sources, and our discussion will consider when to use these types of resources in different patent searches. By utilizing a diverse range of contemporary resources using "old school" techniques, we can easily meet the information needs of our clients even as the number of content sources expands exponentially.

Biography

Barbara Miller is currently a Patent and Scientific Analyst at the Novartis Institutes for Biomedical Research (NIBR) in Cambridge, MA. Prior to joining Novartis in August of 2009, she was an Information Scientist at Pfizer in Groton, CT, where she supported a variety of research and development teams by providing literature, patent, regulatory, and competitive information. Barbara began her searching career at the Pfizer facility in Ann Arbor, MI, in 2001 as a biopatent searcher after completing a postdoctoral fellowship at the University of Michigan. She has a PhD in Biological Sciences from Emory University in Atlanta, GA, a MS in Regulatory Affairs and Quality Assurance from Temple University, and a BS in Chemistry from Rhodes College in Memphis, TN.

Modern Semantic Search – Similarity Search in Patents via Deep Learning
Sumeet Sandhu, Elementary IP

Abstract

This talk follows our PIUG 2016 submission titled "Similarity Search in Patents via Artificial Intelligence," where we described advanced word models built with modern Artificial Intelligence (Deep Learning). These 'similar' word models were built by capturing a word's local context in a sentence – allowing a one-click lookup of semantically related words such as synonyms that would otherwise be missed. Here we extend the idea to 'similar' document models, which enable better semantic search and classification of documents. We will present numerical comparisons of AI-based document search and classification to older technologies such as Latent Semantic Analysis.

Biography

Dr. Sumeet Sandhu is CEO and Founder of Elementary IP, which is an Enterprise Software company providing next generation software tools for patent search, classification and analysis based on Deep Learning. Before EIP, she served in various R&D, management and business roles at Intel for 10 years. She is an inventor on over 55 patents, with several implemented on millions of wireless devices worldwide. She holds Electrical Engineering degrees from Stanford (PhD) and MIT (MS, BS).

A Survey of Factors Affecting Patent Value
Kevin Hess, Patent Technics LLC

Abstract

The simplest approach is to consider the inherent value as relates to average patent prosecution cost. Beyond that, it is common to assess value based upon factors extrinsic to the patent that either impact or represent the claim coverage. Examples of these factors are prior art, litigation use, adoption stage of the covered technology, and total available market. In addition to extrinsic patent factors, several basic intrinsic attributes, such as priority date, claim length, family size, can be considered as proxies for patent value. Language?related aspects, such as claim types, terms, and ease of detection, can also be considered and are of interest because they are identifiable using common patent search tools. Taking into consideration the inherent, extrinsic, and intrinsic properties of an intellectual property asset allows for a more complete assessment of the potential value of a patent. In this presentation, a survey of the extrinsic and intrinsic patent properties is provided. Each is reviewed with respect to its potential qualitative impact on patent value, either positively or negatively. Intrinsic attributes that can be identified using the common patent search practices are considered. A comparative value index, derived from intrinsic properties, is proposed to value rank patents in conjunction with other qualitative attributes. Exemplary patents are discussed that exhibit the different cases of the value?related properties.

Biography

Kevin Hess is an intellectual property analyst at Patent Technics. His technical focus is on IP related to semiconductors and their applications in consumer and automotive electronics. Prior to founding Patent Technics, Kevin supported patent licensing and litigation as a technical expert at Freescale Semiconductor. Later, he joined Intellectual Ventures where he supported portfolio strategy and licensing engagements in the semiconductor, consumer electronics, and automotive markets. Kevin's technical background includes product engineering and R&D positions in semiconductors, chemicals, and polymers. He has published on patent search strategy and semiconductor device design and reliability and is a named inventor on over 60 patents in electronics and materials. Kevin received his Ph.D. in Chemical Engineering from the University of Texas at Austin. His interests outside of IP include music and guitar playing and collecting.

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