Institution
Open Text Corporation
Company•Waterloo, Ontario, Canada•
About: Open Text Corporation is a company organization based out in Waterloo, Ontario, Canada. It is known for research contribution in the topics: Object (computer science) & Metadata. The organization has 479 authors who have published 391 publications receiving 6768 citations.
Papers published on a yearly basis
Papers
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15 Nov 2004TL;DR: In this paper, the authors present a client-server infrastructure capable of supporting a variety of asynchronous and synchronous collaboration activities in a so-called collaboration place, including chatting, viewing and/or editing one or more data files.
Abstract: In some embodiments, the disclosed systems and methods provide a client-server infrastructure capable of supporting a variety of asynchronous and synchronous collaboration activities in a so-called collaboration place. Some of these activities include chatting, viewing and/or editing one or more data files, and sharing one or more applications, data files, and/or displays. The client-server infrastructure supports seamless navigation between the supported asynchronous and synchronous activities in the collaboration place. Additionally, the client-server architecture supports data persistence, so that data files associated with the collaboration place can be stored for subsequent access.
971 citations
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09 Dec 1996TL;DR: A meta search system accepts natural language queries which are parsed to extract relevant content, this relevant content being formed into queries suitable for each of a selected number of search engines and being transmitted thereto as discussed by the authors.
Abstract: A meta search system accepts natural language queries which are parsed to extract relevant content, this relevant content being formed into queries suitable for each of a selected number of search engines and being transmitted thereto. The results from the search engines are received and examined and a selected number of the information sources represented therein are obtained. These obtained information sources are then examined to rank their relevance to the extracted relevant content and the portions of interest in each of these ranked information sources are determined. The determined portions are output to the user in ranked order, having first been processed to clean up the portions to include valid formatting and complete paragraphs and/or sentences.
666 citations
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TL;DR: In this paper, the authors present some difficult qualitative questions concerning the Web, and attempt to provide some partial quantitative answers to them, using the numbers in these answers to drive some 3D visualizations of localities in the Web.
Abstract: “When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the state of science.” — Lord Kelvin This paper presents some difficult qualitative questions concerning the Web, and attempts to provide some partial quantitative answers to them. It uses the numbers in these answers to drive some 3-D visualizations of localities in the Web.
203 citations
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05 Aug 2015TL;DR: In this article, a classification, based on a first classification instance in a plurality of classification instances, is assigned without human intervention to the electronic document if the confidence data associated with the first class instance exceeds a first threshold.
Abstract: Classifying an electronic document in a computer-based system is disclosed. For each classification instance in a plurality of classification instances, a confidence data indicating a degree of confidence that the electronic document is associated with that classification instance is determined. A classification, based on a first classification instance in the plurality of classification instances, is assigned without human intervention to the electronic document if the confidence data associated with the first classification instance exceeds a first threshold.
201 citations
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26 Jul 2002TL;DR: In this article, a computer-implemented method of retrieving information in a first markup language through a query engine and presenting the information in any required markup language is presented, where a user inputs a query and may invoke a number of transformative sequences.
Abstract: A computer-implemented method of retrieving information in a first markup language through a query engine and presenting the information in any required markup language A user inputs a query and may invoke a number of transformative sequences These sequences contain a markup language pattern and an action, which may include transforming the tags in the first markup language to tags in a different markup language The appropriate transformative sequence is selected and the pattern from the transformative sequence is compiled The compiled pattern is used to perform rapid and efficient searches of documents in the database A predicate check using the binary coding of the node as well as ancestor information confirms the node The leaf information associated with a confirmed node is then stored If necessary, the action from the transformative sequence is applied to change the markup language of the leaf information to that of the user
199 citations
Authors
Showing all 479 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alejandro López-Ortiz | 33 | 193 | 3719 |
Stephen Tomlinson | 12 | 29 | 558 |
Zheng Sun | 12 | 31 | 625 |
Roger W. Kilday | 11 | 26 | 324 |
Keith Deutsch | 11 | 22 | 659 |
Andrew C. Payne | 11 | 15 | 3656 |
Matthew J. Helgren | 9 | 13 | 345 |
Victor Spivak | 8 | 31 | 292 |
Dana Khoyi | 8 | 16 | 1039 |
Eric Hoffert | 8 | 13 | 484 |
David Glazer | 7 | 15 | 1235 |
Mark R. Scheevel | 7 | 13 | 188 |
Gregory Beckman | 7 | 8 | 147 |
Conleth S. O'Connell | 7 | 12 | 284 |
Ronald E. Schneider | 7 | 15 | 1235 |