Extractor is a web content summarization utility incorporating patented technology to summarize text, e-mail and html content such as Search Engine results into weighted lists of keywords and keyphrases. Uniquely positioned for web services, Extractor is immediately capable of consuming documents of any length and subject matter, distilling the precise, contextual meaning of any content into keyword and keyphrase summary formats. Extractor's unique patented technology delivers precise content summaries in any subject domain without retraining and without human intervention.
Contextual
A unique feature of the patented Extractor technology is the ability to summarize content by showing how keywords and keyphrases are used in context of a document. The resulting summary provides an unparalleled level of subject relevance. This particular feature of Extractor, for instance, allows an analytical comparison of one document against another or collection of documents displaying similar or dissimilar characteristics. Ideal for portal content aggregation, document indexing, keyword linking or semantic-based information systems.
Relevant Information
By design Extractor is an objective provider of content summaries in contrast to traditional human influenced subjective summary approaches. Statistically proven, Extractor is 85% to 93% accurate regardless of subject domain. The ability to quickly discern relevant and meaningful information is the corner stone of the Extractor Technology.
Definition of Keyphrase Extraction
Many journals ask their authors to provide a list of key words for their articles. We call these keyphrases, rather than key words, because they are often phrases of two or more words, rather than single words. We define a keyphrase list as a short list of phrases (typically five to fifteen phrases) that capture the main topics discussed in a given document. We define automatic keyphrase extraction as the automatic selection of important, topical phrases from within the body of a document. Automatic keyphrase extraction is a special case of the more general task of automatic keyphrase generation, in which the generated phrases do not necessarily appear in the body of the given document.
Keyphrases for Metadata
Many researchers believe that metadata is essential to address the problems of document management. Metadata is meta-information about a document or set of documents. There are several standards for document metadata, including the Dublin Core Metadata Element Set (championed by the US Online Computer Library Center), the MARC (Machine-Readable Cataloging) format (maintained by the US Library of Congress), the GILS (Government Information Locator Service) standard (from the US Office of Social and Economic Data Analysis), and the CSDGM (Content Standards for Digital Geospatial Metadata) standard (from the US Federal Geographic Data Committee). All of these standards include a field for keyphrases (although they have different names for this field).
Keyphrases for Highlighting
When we skim a document, we scan for keyphrases, to quickly determine the topic of the document. Highlighting is the practice of emphasizing keyphrases and key passages (e.g., sentences or paragraphs) by underlining the key text, using a special font, or marking the key text with a special colour. The purpose of highlighting is to facilitate skimming. Automatic keyphrase extraction can be used for highlighting and also to enable text-to-speech software to provide audio skimming capability.
Keyphrases for Indexing
An alphabetical list of keyphrases, taken from a collection of documents or from parts of a single long document (chapters in a book), can serve as an index.
Keyphrases for Interactive Query Refinement
Using a search engine is often an iterative process. The user enters a query, examines the resulting hit list, modifies the query, then tries again. Most search engines do not have any special features that support the iterative aspect of searching. One approach to interactive query refinement is to take the user's query, fetch the first round of documents, extract keyphrases from them, and then display the first round of documents to the user, along with suggested refinements to the first query, based on combinations of the first query with the extracted keyphrases.
Keyphrases for Web Log Analysis
Web site managers often want to know what visitors to their site are seeking. Most web servers have log files that record information about visitors, including the Internet address of the client machine, the file that was requested by the client, and the date and time of the request. There are several commercial products that analyze these logs for web site managers. Typically these tools will give a summary of general traffic patterns and produce an ordered list of the most popular files on the web site. A web log analysis program can use keyphrases to provide a deeper view of traffic. Instead of producing an ordered list of the most popular files on the web site, a log analysis tool can produce a list of the most popular keyphrases on the site. This can give web site managers insight into which topics on their web site are most popular.
Workforce Optimization
Delegating responsibility is a management 101 lesson. Providing the tools to appropriately empower a workforce for their delegated responsibilities has changed dramatically since management 101 was written. Relevant information is a critical tool for the success of any business and providing relevant information in exact context is what gives an organization the ultimate competitive advantage. Rather than working through the normal, time consuming, iterative search engine process, Extractor empowers corporate information with relevant and meaningful presentations in direct relation to the changing needs of today's dynamic workforce.
Keyphrase definitions and examples are
courtesy of Dr. Peter Turney
Features
Evaluate
online web service
sample application
SDK
Platform
operating system
Windows
Solaris
Linux
Mac OS
HP/UX
...
development
C / C#
Java
Perl
Python
Visual Basic
API Functions
Great for...
workforce optimization
web log tagging
refined search
knowledge management (KM)
information retrieval (IR)
semantic web development
indexing
categorization
cataloguing
inference engines
document management
Portal Services
Examples:
Research
Internet Communications
HomeLand Security
Contextual Web Search
Document Mangement
Indexing
Knowledge Management
Intellectual Property Filter
Intelligent Search
Text Summarization
Wireless Push Technology
Supporting Documentation
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