Current Challenges in Patent Information Retrieval [electronic resource] /
Lupu, Mihai.editor.
Mayer, Katja.editor.
Tait, John.editor.
Trippe, Anthony J.editor.
Patents form an important knowledge resource -much technical information represented in patents is not represented in scientific literature - and at the same time they are important, and economically highly relevant, legal documents. Between 1998 and 2008, the number of patent applications filed yearly worldwide grew by more than 50 percent. Yet still we see a huge gap between, on the one hand, the technologies that emerged from research labs and are in use in major Internet search engines or in enterprise search systems, and, on the other hand, the systems used daily by the patent search communities. In the past few years, the editors have organized a series of events at the Information Retrieval Facility in Vienna, Austria, bringing together leading researchers in information retrieval (IR) and those who practice and use patent search, thus establishing an interdisciplinary dialogue between the IR and the intellectual property (IP) communities and creating a discursive as well as empirical space for sustainable discussion and innovation. This book is among the results of that joint effort. Many of the chapters were written jointly by IP and IR experts, while all chapters were reviewed by representatives of both communities, resulting in contributions that foster the proliferation and exchange of knowledge across fields and disciplinary mindsets. Reflecting the efforts and views of both sides of the emerging patent search research and innovation community, this is a carefully selected, organized introduction to what has been achieved, and perhaps even more significantly to what remains to be achieved. The book is a valuable resource for IR researchers and IP professionals who are looking for a comprehensive overview of the state of the art in this domain.
Description based upon print version of record.
Includes bibliographical references and index.
Practical Experience and Requirements for Searching the Patent Space -- An Introduction to Contemporary Search Technology -- Overview of Information Retrieval Evaluation -- Evaluating Information Retrieval in the Intellectual Property Domain: The CLEFIP Campaign -- Evaluation of Chemical Information Retrieval Tools -- Evaluating Real Patent Retrieval Effectiveness -- Measuring and Improving Access to the Corpus -- Measuring Effectiveness in the TREC Legal Track -- Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search -- Patent Claim Decomposition for Improved Information Extraction -- From static textual display of patents to graphical interactions -- Automated Patent Classification -- Phrase-based Document Categorization -- Using Classification Code Hierarchies for Patent Prior Art Searches -- Information Extraction and Semantic Annotation for Multi-Paradigm Information Management -- Intelligent Information Access from Scientific Papers -- Representation and Searching of Chemical Structure Information in Patents -- Offering new insights by harmonizing Patents, Taxonomies and Linked Data -- Automatic Translation of Scholarly Terms into Patent Terms -- Future Patent Search.-.
Patents form an important knowledge resource -much technical information represented in patents is not represented in scientific literature - and at the same time they are important, and economically highly relevant, legal documents. Between 1998 and 2008, the number of patent applications filed yearly worldwide grew by more than 50 percent. Yet still we see a huge gap between, on the one hand, the technologies that emerged from research labs and are in use in major Internet search engines or in enterprise search systems, and, on the other hand, the systems used daily by the patent search communities. In the past few years, the editors have organized a series of events at the Information Retrieval Facility in Vienna, Austria, bringing together leading researchers in information retrieval (IR) and those who practice and use patent search, thus establishing an interdisciplinary dialogue between the IR and the intellectual property (IP) communities and creating a discursive as well as empirical space for sustainable discussion and innovation. This book is among the results of that joint effort. Many of the chapters were written jointly by IP and IR experts, while all chapters were reviewed by representatives of both communities, resulting in contributions that foster the proliferation and exchange of knowledge across fields and disciplinary mindsets. Reflecting the efforts and views of both sides of the emerging patent search research and innovation community, this is a carefully selected, organized introduction to what has been achieved, and perhaps even more significantly to what remains to be achieved. The book is a valuable resource for IR researchers and IP professionals who are looking for a comprehensive overview of the state of the art in this domain.
Information storage and retrieval.
Natural language processing (Computer science).
Application software.
Commercial law.
Information Storage and Retrieval.
Natural Language Processing (NLP).
Computer Appl. in Administrative Data Processing.
Commercial Law.
The Kluwer International Series on Information Retrieval