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• BizInt Solutions
  CAS/STN International
  Digital Chemistry
  Domex E-Data
  EBSCO
  Elsevier
  European Patent Office
  InfoApps
  InfoChem
  Intellixir
  IntraFind Software
  Lexis-Nexis
  Linguamatics
  Minesoft
  Prous Science
  Questel
  QWAM Content Intelligence
  Reuters
  Scipat
  Search Technology
  Springer
  TEMIS
  Thomson Scientific
  Treparel Information Solutions
  Vivísimo
  
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ICIC

The International Conference in Trends for Scientific Information Professionals

Sitges (Barcelona) Spain. 21-24 October 2007

This page last updated 10 October 2007. Programme as of this date

This year the ICIC meeting will cover trends in the field of scientific and professional information. The 2007 meeting programme has an impressive line-up of significant figures in the information world. Among the topics covered and discussed by the 20+ speakers are:

• tools for intelligence and decision support, including mining chemical and biological data, visualisation, information and entity extraction – followed by a panel discussion.
• the new patent landscape, text and structure searching, free patent services, search and substructure searching – followed by a panel discussion.
• search engines and data integration.
• new business and information centre models ...

PROGRAMME

  Sunday 21 October 2007  

17:00 Prous Science Seminar: with keynote speaker Jeffrey S. Ross (free registration required)

19.30 Welcome Cocktail and Dinner sponsored by Prous Science

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  Monday 22 October 2007  

® Opening Keynote 08.30

David E Martin
M-CAM, USA
Innovation and the Birth of the Fusion Economy: Financial Implications of Intellectual Property

At the dawn of the 21st century, we face the realisation that the tangible economy and its attendant modes can no longer be represented or financed using the convention of the “balance sheet.” Presaged with the collapse of the 2001 WTO debates in Doha, heralded with the recent stock market multiple personality disorder, and against the growing drumbeat of currency strain, global finance is about to experience the collapse of the tangible, industrial market paradigms and the emergence of the intangible, asymmetric risk capital era.

• In 2005, the US and international governments cancelled or curtailed sovereign immunity from infringement liability previously afforded to government contractors. In 2006, the US Justice Department argued to encourage patent infringement when it feared the loss of Blackberry, while the Commerce Department decried intellectual property abuses in China.
• In 2008, all banks and financial institutions will have to test their loss reserves for their exposure to “intangible economy risks” under the Basel II Accords. Neither their internal systems nor external business practices are prepared -- anywhere.
• Over $1.5 trillion in uninvested capital in the Islamic world -- estimated to grow to as much as $3 trillion by year’s end -- directly or indirectly stands ready to move into diversified currencies further destabilising weakened dollars, yens and euros.
• Infrastructures designed to arbitrate to whom proprietary limited monopolies are granted have been shown to be unsustainable and overly provincial giving rise to the emergence of “sovereign-backed” monopolies.
• The presumed hegemony of the Trilateral countries in terms of invention and innovation is increasingly challenged by the “Silk Road Axis”.

A discussion of these events (and their consequences) will be presented together with a series of anticipatory scenarios to explore the strategies to adapt in this financial transformation.

Martha Ellison
3M Information Research & Solutions, Minnesota, USA
Mapping and Driving the Knowledge Solutions of a Corporate Information Organisation Towards 2010

Throughout 2004 and early 2005, the management team of 3M’s worldwide information organisation undertook a project to envision the staff, services and resources needed to support 3M’s information requirements in 2010. Using several intersecting strategic planning processes, a map for the future was created along with a plan for closing the gaps to meet future organisational needs.
This presentation discusses the strategic planning processes used, the outcomes, and recent adjustments required to maintain alignment between the information group and 3M’s changing corporate strategies. New models necessary to stay on the path to 2010 are described including mass customisation, prioritised intermediated information research, and libraries as innovation spaces.

Michael Kayat and Alan Porter*
UTEK Corp, Florida, USA and *Georgia Tech, USA
White Space Analysis for Biomaterials in Complex Patent Landscapes

The development of biomaterials is accelerating in many areas of medical and surgical devices. There are an increasing number of biomedical application areas, from cardiovascular and dental, to ophthalmologic, orthopaedic and urological treatments. There is also an increasingly complex patent landscape emerging that covers fundamental areas such as surface modification and characterisation of biomaterials which are important for drug delivery systems, tissue engineering and implants. The paper describes an approach using advanced text mining with concept maps, together with large scale patent analysis that provides a path for discovering new patent white spaces. We also discuss a methodology for mapping new potential innovations.

Product Highlights: Prous / Thomson Scientific / CAS-STN

10:35-11:05. Break, Networking and Exhibition

Michael Hehenberger
IBM Healthcare & Life Sciences, New York, USA
Text Analytics and Chemical Annotation of Patents and Biomedical Literature

Bio-pharmaceutical industry is challenged to replace drugs that come off patent with novel approved medical treatments that meet increasing FDA safety and efficacy demands. Therefore, the status of Competitive Intelligence has risen from a support function to a strategically important discipline at the core of investment decisions, mergers, acquisitions and licensing activities. In addition, there is an increasing need to identify new drug candidates and other Intellectual Property for licensing.
We propose a solution that complements the search and mining of IP / Patents and biomedical literature with an innovative approach toward the annotation of domain specific entities, including chemical names. Those chemical names of arbitrary complexity are linked to chemical structures, represented by Smiles strings. Our approach will render the scientific literature and patents searchable by web-enabled chemical structure/substructure search applications.
Our solution includes a data warehouse that can contain both structured and unstructured data, along with chosen annotations. IBM’s Blue Gene supercomputer is used to increase search and annotation performance. By means of Blue Gene we are able to populate and query the data warehouse rapidly, and optionally to add computed properties to given chemical entities. The presentation will include a brief demonstration of the solution.

Product Highlights: Questel / Elsevier / TEMIS

Nicko Goncharoff
Reel Two, USA / New Zealand
Combining Text and Structural Search in the Chemical Literature

A fully effective search tool for chemists requires access to both unstructured textual sources as well as structured chemical information. This presentation looks at two of the challenges this presents. First, how to extract information from unstructured text such as patents or the academic literature. Second, how to conduct searches across disparate sources of information -- that is, how both document similarity and chemical similarity can be combined in a single similarity search. Such a search might start with a portfolio of patents together with some keywords and chemical structures. The search would find those patents which both use similar language in the text and which reference the chemical structures. The search can then be refined iteratively by including or excluding any of the items returned by the search: documents, words, phrases, structures or fragments; and then repeating the similarity search. Consideration will also be given to the challenging environment for such searches where there are very large numbers of documents (tens of millions of patents) containing many structures (millions of chemical structures).

Robert Stewart
Thomson Scientific, Pennsylvania, USA
Uncovering Competitive Technology Intelligence from Chemical Information in Patent Databases

There is a large amount of chemical information contained in commercially available patent databases. Uncovering that information is relatively straightforward, but converting it into intelligence is often more challenging. This presentation examines several methods for turning chemical information from patents into actionable intelligence. At one end of the spectrum are tools that are readily available to most information professionals, such as Microsoft Excel and simple analysis tools that are built into commercial search engines. At the other end are sophisticated text and data mining tools that can uncover hidden intelligence from lists, matrices and relationship maps. The presentation shows that it is often possible to uncover intelligence with the simpler tools, while discussing situations where the more sophisticated tools add value.

Product Highlights: European Patent Office / Minesoft

13:00-14:30 Lunch, Networking and Exhibition

® After Lunch Keynote 14:30

Nick Baker
Reed-Elsevier UK
A Perspective on the Evolution of Information Business Models

This introductory keynote will look at the range of business models extant in professional and business information markets, trends in business models change and implications of these changes. The review will cover subscription/licence, advertising/sponsorship and the emerging feasibility of more "open" and network/community models. A range of examples will be covered across a number of information markets.

James Ryley
FreePatentsOnline.com, USA
Using Conceptual Search in Scientific, Financial and Intellectual Property Databases

Traditional search engines require that “matching” documents contain nearly the exact words or phrases used in the query. Such search engines cannot identify relevant documents which use synonymous, but not identical, terminology. As a result, finding important documents can be difficult due to the need to guess what terms an author would have used when describing a given concept. Conceptual Search addresses this problem. Sophisticated statistical techniques are used to group documents into topical categories, and to build a database of synonymous terms. Then, when a search is performed, all synonymous terms that are related to the searcher’s input are considered – not just the literal terms in the query. At the same time, the topical groupings permit the conceptual search engine to ignore documents that contain the literal words in the query, but which are nonetheless irrelevant to the searcher’s needs. The result is a search engine which has a high retrieval rate (recall) and excellent ability to discriminate relevant from irrelevant documents (precision). Using such a search engine, searchers can search faster, and have greater confidence that all relevant documents have been located.

Product Highlights: Springer / Domex e-Data / Lexis-Nexis

Jane List
The Technology Partnership, UK
From Esp@cenet to Google: The New World of Free Patent Searching

Google caused great debate amongst the patent searching community at the beginning of 2006 by unveiling a beta-test search engine for US patents. But how good are free patent databases on the internet? The new patent databases are certainly opening up the world of patent searching to more people; inventors, laboratory scientists and engineers are carrying out patent searches. But is there a place for them in the professional patent searcher’s tool-kit?
This presentation starts by looking at databases from the patenting authorities such as EPO, JPO and USPTO and then beyond to the more recent developments in free patent search engines from free patents online, fresh patents and Google. These sources are compared for functionality, usability and also coverage and timeliness; all important criteria for a comprehensive patent search whether for freedom to operate, prior art, research or validity purposes. The presentation is illustrated with examples from ultrasonic devices, micropumps and other typical searches from The Technology Partnership which support our developments of next generation physics-based products.

16:25-16:55 Break, Networking and Exhibition

Nigel Clarke, V. Hassler, M. Szubert
European Patent Office, Austria
Possibilities for Chemical Structure Searching in esp@cenet

The EPO's free web-based esp@cenet service provides an entry level to patent information novices or to more experienced searchers when beginning a new search before moving on to more sophisticated searches. Search term input is via search masks, and allowed search inputs may be conveniently grouped into "parameters": eg, publication date, publication number etc, "classification symbols": IPC or ECLA codes, "proper names": inventor name, applicant name, or "keyword". The keyword input in esp@cenet can be used to search in the title field or the title and abstract field. Many technical fields such as mechanical engineering are tractable by keyword searching, However a recent profiling survey of esp@cenet users showed that two of the largest user groups are from the chemical and pharmaceutical sectors. Much chemical patent and journal literature searching in commercial and public domain databases is carried out using chemical structures, ie, the allowed search input is a chemical structure, written, drawn or selected from a library, by the searcher. This input is then used by search engines to interrogate databases, and retrieve the relevant documents, patents or journal articles for example. Keyword searching on its own is not the most effective way to search chemical or pharmaceutical literature.
The current esp@cenet search engine does not support chemical structures as input, however it does support keyword searching. In view of the utility of chemical structure searching to chemists or pharmacists, but with the restriction of searching to keywords (chemical names) in esp@cenet, it was decided to investigate the possibility of deriving chemical names from structures identified by the user, and using those derived chemical names as search input for esp@cenet. This paper reviews the R&D work which has identified the necessary building blocks to facilitate the process for structure searching in esp@cenet; Draw/select structure => convert structure to unambiguous code => convert unambiguous code to chemical name => identify synonyms => present user with synonyms => search with synonyms in esp@cenet.
An overview of the possible public domain software which could be used to build such a process will be presented, and from this the way to a possible chemical structure "translation engine" adapted for esp@cenet will be indicated. The anatomy of an idealised chemical structure search incorporating classifications will be demonstrated. Some of the remaining difficulties which present obstacles to progress will be discussed.

  Tuesday 23 October 2007  

® Session Starts 08:00

Rudy Potenzone
Microsoft, Washington, USA
A Knowledge and Content Management Strategy for the Pharmaceutical “Knowledge Worker”

James Rizzi
Array Biopharma, Colorado, USA
Development and Deployment of an Information-Centric Tool for Better Decision Making in Drug Discovery

The drug discovery process and the pharmaceutical industry in general are beginning to face a real challenge: How can we maintain scientifically sound decision making and effective project management as the volume of data burgeons? Today there are few good enterprise solutions to this problem and usually organisations resort to email, Excel, and PowerPoint. In order to address this issue more effectively, better data management tools are needed.
Array is collaborating with General Dynamics VIZ to apply those advances to drug discovery and development command and control. The solution relies on their core technology platform to create an information-centric tool referred to as “CoMotion Discovery”. With this tool, a project’s plan, work progress, scientific results and management decisions across multiple data sources are integrated, updated and disseminated automatically through a single interface. Team members can collaboratively review data and annotate the results with their thoughts and intuitions (soft information), and link out to more details, supporting data or other related information. This presentation focuses on both the technical and cultural issues encountered with the development and deployment of the CoMotion Discovery tool.

Product Highlights: Bizint / Reuters / Vivisimo

Gilles Montier
TEMIS, France
Applying Text Analytics to the Patent Literature to Gain Competitive Insight

Intellectual property management is a critical business process for organisations willing to protect existing products, foster innovation and increase revenue. But prior art analysis has become increasingly difficult in all industries, due to the number and the complexity of documents to analyse. Additionally, monitoring the competition R&D efforts is becoming more difficult and more resistant to manual analysis. This trend has been especially accentuated in the life sciences, with the ever increasing competition from generic and “me-too” drugs and the importance of licensing in and out drugs and molecules within the portfolio of all major players.
Patent specialists need to sift through large collections of patent documents, looking for specific clues. Online databases and visualisation tools provide a first answer to those questions but fail to offer a user-friendly environment to analyse the content of patents in a flexible and precise way. This presentation illustrates some real-life examples of in-depth patent analyses leveraging Text Analytics technology for relevant entities extraction (genes, diseases, chemical compounds, molecular targets).

Achim Zielesny and S. Neumann*
University of Applied Sciences of Gelsenkirchen, Germany, and *GNWI, Germany
“Intelligent” IT-Systems? Challenges, Fakes and Hard Science

The basic feature of an IT system that pretends to be “intelligent” is its capability of a specific kind of human-like understanding of the tasks for which it is designed. The challenges of a human-like understanding are described in general as well as their consequences for current scientific retrieval systems. In conclusion, the majority of today’s intelligent systems are classified as “fakes” – which does not necessarily restrict their practical usefulness. This is outlined with an example from intelligent text-mining in Bioinformatics. Finally, intelligent hard-science methods are discussed and demonstrated that circumvent basic problems of fakes but have limitations of their own.

Product Highlights: EBSCO / Search Technology

10:40-11:10 Break, Networking and Exhibition

Stephen Arnold
AIT, Kentucky, USA
Text Mining and Discovery Functions in the Chemical and Pharma Domains

Text mining and content discovery functions are becoming a basic function of enterprise applications. Smaller firms can match the intelligence and analytic functions of the largest organisations at greatly reduced costs. The reason for this development is that text mining functions have been embedded into enterprise applications, from Oracle's database to Microsoft's servers. One licence fee brings multiple tools. This shift is in response to demand for systems that can help manage the large flows of information in chemical or pharma companies.
A related development is that enterprise search system vendors have aggressively adopted text mining as a quick fix to their precision and recall woes. Fierce competition ensures that the licence fees for such systems will continue to drift downward and lead to easier integration among enterprise applications. Commoditisation of advanced text processing creates a number of opportunities for vendors to fill needs for specialised functions.

Debra Banville
AstraZeneca, Delaware, USA
Mining Chemical and Biological Information from the Literature: Finding the 'Right Stuff'

It is easier to find too many documents on a particular life science topic, than to find the right information inside these documents. With the application of text data mining to biological information, and the explosion of HTS data, it is no surprise that researchers are starting to look at applications to extract chemical information. The mining of chemical entities, both names and structures, brings with it some unique challenges. Ultimately, text data mining applications need to focus on the marriage of biological and chemical information.
Commercial and academic efforts are beginning to address these challenges. Developments in the World Wide Web are changing the way researchers and publishers look at published information and the way researchers from industrial and academic institutions interact with each other and with that information. This presentation explores ways in which all these changes can coalesce into something tangible for a researcher to navigate, and how researchers can infuse their knowledge and experience into the process of literature research. Finally, we consider how this information can be managed over time to find the 'right stuff'

Product Highlights: Scipat / QWAM / Intellixir

12:35-14:15 Lunch, Networking and Exhibition

Josep Prous
Prous Science, Barcelona, Spain
Knowledge-Based Drug R&D Productivity Maximisation

The extensive use of virtual screening techniques and combinatorial chemistry in recent years have brought investigators and researchers large sets of compounds to be tested. The latest trends are focused on the intelligent selection of these compounds for specific targets.
BioEpisteme, a knowledge-based project, was initiated to contribute to the faster discovery of new and safer drugs, as well as the finding of new uses for known molecules. In-house developed datamining algorithms have led to a model that characterises more than 400 different molecular mechanisms of action simultaneously. Millions of molecules are being used to develop the project.
Additionally, the safety of drugs used in clinical practice is under constant scrutiny and the withdrawal of several compounds in recent years confirms the productivity challenges faced by modern biomedical research. In this context, the BioEpisteme technology has been used with success to build models that discriminate between active and inactive compounds for specific pharmacological activities, and to differentiate drug from non-drug compounds.
The development of the BioEpisteme Project and its application in high-throughput virtual screening, drug repositioning and ADMET assessment will be presented.

Marc Zimmermann, Juliane Fluck, Christoph M. Friedrich and Martin Hofmann-Apitius
Fraunhofer Institute for Algorithms and Scientific Computing, Germany
A Critical Review of Information Extraction Technologies in Chemistry

Retrieval of relevant information in the area of chemistry remains a challenge. Recent progress in the area of information extraction technologies promises to solve a broad spectrum of problems associated with the time consuming tasks of “finding all relevant information”, “finding all relevant mentions and relationships” and “making all this information available to an entire community / organisation”. However, despite the attractive perspectives of fully automated information extraction, there is considerable discrepancy between the promises of vendors of information extraction technology and the true problem solving of real existing problems in the day-to-day work of researchers and patent specialists.
This presentation reviews some of the recent benchmarking activities in the area of information extraction, with a special focus on named entity recognition and relationship mining. It sheds some light on recent research in the area of information extraction from chemical structure depictions, as communication of chemical information through images is one of the preferred routes taken in chemistry and pharmaceutical sciences. The presentation combines an overview on technological approaches with a critical review of performance measures and the outcome of critical assessments and benchmarking activities in the scientific community.

Product Highlights: Treparel / InfoChem / Digital Chemistry

15:40-16:10 Break, Networking and Exhibition

Steve Papa
Endeca, Massachusetts, USA
Where Do Search and Business Intelligence Meet Today?

The Search and Business Intelligence markets made some surprisingly swift, significant movements towards each other in the past year. At industry analyst IDC, the Content team led by Sue Feldman and the BI team led by Henry Morris released a series of research reports on the fast emergence of "unified access" applications that are blurring the boundaries between these two fields of information access. Within months, BI giants Business Objects, Cognos, and Oracle all announced major new search features and products.
This convergence opens a rich area of study. At the outset, it touches the antipodes of unstructured versus structured content, atomic views versus aggregate views, and casual users versus trained users. For early adopters of unified access applications, it is already introducing functionality previously unavailable in either market. This presentation shows examples from high seat-count deployments where enterprise users are finding the information they need in unprecedented ways when Search and Business Intelligence converge.

An interactive panel, animated by Martin White (Intranet Focus) that unites an expert panel with the audience for comments and questions in the text and data mining areas. Expert panellists include Charles Huot (TEMIS), Wolfgang Thielemann (Bayer Healthcare) and Stephen Arnold (Arnold IT).

Currently there is considerable interest and debate around the use of Web2.0 tools, ie, wikis, blogs, etc, and how they can be used to support collaboration and knowledge sharing within the business environment. While a lot has been written about these tools and how they could be used, there are not many actual use case examples around. The aim of this session is to allow interested participants to discuss real use case examples and share their successes and failures when trying to implement.
This session, led and animated by Ben Gardner of Pfizer, will be run in an informal unconference style where open participation from those present will be actively encouraged. Short 5-10 minute ad hoc presentation from the floor will be welcome. This is designed to be an informal session among friends, so please feel relaxed and free to present however you want -- experiment with a different style, use PowerPoint, talk to a screen (demo), simply engage us in some discussion; the choice is yours! Join the pre-conference working group.

  Wednesday 24 October 2007  

® Session Starts 08:30

Product Highlights: InfoApps / IntraFind / Linguamatics

Simon Gittins
Vivísimo, USA
Collaboration, Folksonomy, Web 2.0 – Buzz Terms or Reality?

To move beyond the buzz of Web 2.0, enterprises need to remain focused on the tasks and business goals at hand. All new features must be easy to use and align with the current work flow of end users, or else they will simply not use the new tools provided. Enterprise search is the connector into all enterprise applications, so it makes the most sense to serve as the home for all new collaboration, tagging and sharing functionality. By building upon existing search applications, enterprises are increasing the value and use of information – ultimately improving the performance of individual employees to meet the strategic goals of the corporation. This presentation describes how Web 2.0 functionality can be integrated into an enterprise search application and examines benefits and solutions of using Web 2.0 functionality.

Ben Gardner
Pfizer, UK
Strategies for the Integration of Information

Integration of information from diverse sources in support of business needs is one of the key challenges currently faced by information services groups. Historically, data have been stored in stand-alone databases designed to support specific information requirements. While this strategy was optimal for the core user groups, it limits the re-use of the information and prevents the realisation of synergies obtainable from combining diverse data sources. If we are to obtain the maximum value from our data we need to develop both dynamic and static strategies that support the integration of data sources. The established approach to data integration traditionally involves some form of data warehousing and the building of formal ontologies, taxonomies, indexes, etc. This presentation illustrates with case examples a number of different approaches that have been used at Pfizer. In addition, it considers whether there may be an alternative approach and what we can learn from Web2.0 culture.

Wolfgang Thielemann
Bayer Healthcare, Germany
Information Extraction from Full-Text – Challenges and Opportunities

New technologies like taxonomy based categorisation or text mining enable information professionals to analyse efficiently large amounts of text information. Initially many of these technologies were developed for the analysis of business news and biological target interaction. Currently they are expanding to other life science relevant areas such as chemical or clinical information. Although the available applications have become powerful, there are still many problems to solve. This presentation highlights challenges as well as opportunities and compares the results with those we know from searching indexed databases.

10:30-11:15 Break, Networking and Exhibition

Daniel Domine, C. Merlot, M. Ibberson and M. de Francesco
Merck Serono, Switzerland
Integration of In-House and External Data in Practice

This presentation begins by looking at the current situation in data integration in Pharmainformatics. It considers production workflows versus entity aggregation, the integration and exploitation of external data sources, and discusses and illustrates structured, unstructured and "thought-to-be" structured information. In conclusion, the presentation looks at some examples of successful integration and discusses future directions.

Wendy Warr
Wendy Warr & Associates, UK
Social Software: Fun and Games, or Business Tools?

This is the era of social networking, collective intelligence, participation, collaborative creation, and borderless distribution. Every day we are bombarded with publicity about collaborative environments, newsfeeds, blogs, wikis, podcasting, webcasting, folksonomies, social bookmarking, social citations, collaborative filtering, recommender systems, media sharing, massive multiplayer online games, virtual worlds, and mash-ups. This sort of anarchic environment appeals to the digital natives, but which of these so-called “Web 2.0” technologies are going to have a real business impact on the chemical and pharmaceutical industries? How will the issues of quality control, spam, security and privacy impact the implementation of social networking in hide-bound, large organisations? This presentation will cut through the hype and make some predictions about information management in 2012.

Barbara Gilmore-Halliwell and Diane Webb
KAI Pharmaceuticals, and BizInt Solutions, California, USA
Drug Portfolio Analysis – Targeted Anticancer Therapies

The success of the pharmaceutical industry depends on the efficiency of the drug development process and the availability of new targets. In addition to small molecule drugs, the market for monoclonal antibodies is expanding, as are advances in recombinant and formulation technologies. There has been a shift in oncology. Cancers are no longer defined solely from the organ of origin, rather, the genetic changes to the complex pathways controlling signal transduction and cell cycle checkpoints. This shift parallels the emergence of “targeted therapies.” Targeted therapies inhibit pathways involved with the initiation or promotion of cancer or to promoted pathways involved with the apoptosis of cancer cells. Understanding what is in the various drug pipelines relating to targets is critical to informed decision making processes within companies.
Multiple drug pipeline databases play a key role in understanding the competitive landscapes. This paper discusses several case studies surveying the competitive landscape relative to the stage of drug development, focusing on the five leading drug pipeline databases: ADIS R&D Insight, IDDB, IMS R&D Focus, PharmaProjects, and Prous Integrity. Differences exist in coverage and content. Draw insights for your own research and access information critical to your collaborative decision making processes as your companies develop portfolios of innovative therapies. The paper concludes by offering explanations for differences in coverage and content, and shows how to connect the dots from the places where the information resides to the people who need it.

View 2007 hotel venue

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  Wednesday 24 October 2007 (post-conference tutorial) 

Text Mining: Placebo or Scopolamine for Patent Analysis,
Pharma Research and Business Intelligence?

Stephen E. Arnold
President
Arnold Information Technology

details of the post-conference tutorial