Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web

The transition of personal information management (PIM) tools off the desktop to the Web presents an opportunity to augment these tools with capabilities provided by the wealth of real-time information readily available. In this paper, we describe a next-generation personal information assistance en...

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Main Authors: Van Kleek, Max G., Moore, Brennan, Karger, David R., Andre, Paul, schraefel, m. c.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery 2011
Online Access:http://hdl.handle.net/1721.1/62027
https://orcid.org/0000-0002-0024-5847
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author Van Kleek, Max G.
Moore, Brennan
Karger, David R.
Andre, Paul
schraefel, m. c.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Van Kleek, Max G.
Moore, Brennan
Karger, David R.
Andre, Paul
schraefel, m. c.
author_sort Van Kleek, Max G.
collection MIT
description The transition of personal information management (PIM) tools off the desktop to the Web presents an opportunity to augment these tools with capabilities provided by the wealth of real-time information readily available. In this paper, we describe a next-generation personal information assistance engine that lets end-users delegate to it various simple context- and activity-reactive tasks and reminders. Our system, Atomate, treats RSS/ATOM feeds from social networking and life-tracking sites as sensor streams, integrating information from such feeds into a simple unified RDF world model representing people, places and things and their timevarying states and activities. Combined with other information sources on the web, including the user's online calendar, web-based e-mail client, news feeds and messaging services, Atomate can be made to automatically carry out a variety of simple tasks for the user, ranging from context-aware filtering and messaging, to sharing and social coordination actions. Atomate's open architecture and world model easily accommodate new information sources and actions via the addition of feeds and web services. To make routine use of the system easy for non-programmers, Atomate provides a constrained-input natural language interface (CNLI) for behavior specification, and a direct-manipulation interface for inspecting and updating its world model.
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spelling mit-1721.1/620272022-09-29T09:30:12Z Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web Van Kleek, Max G. Moore, Brennan Karger, David R. Andre, Paul schraefel, m. c. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Karger, David R. Van Kleek, Max G. Moore, Brennan Karger, David R. The transition of personal information management (PIM) tools off the desktop to the Web presents an opportunity to augment these tools with capabilities provided by the wealth of real-time information readily available. In this paper, we describe a next-generation personal information assistance engine that lets end-users delegate to it various simple context- and activity-reactive tasks and reminders. Our system, Atomate, treats RSS/ATOM feeds from social networking and life-tracking sites as sensor streams, integrating information from such feeds into a simple unified RDF world model representing people, places and things and their timevarying states and activities. Combined with other information sources on the web, including the user's online calendar, web-based e-mail client, news feeds and messaging services, Atomate can be made to automatically carry out a variety of simple tasks for the user, ranging from context-aware filtering and messaging, to sharing and social coordination actions. Atomate's open architecture and world model easily accommodate new information sources and actions via the addition of feeds and web services. To make routine use of the system easy for non-programmers, Atomate provides a constrained-input natural language interface (CNLI) for behavior specification, and a direct-manipulation interface for inspecting and updating its world model. 2011-04-04T14:54:37Z 2011-04-04T14:54:37Z 2010-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-60558-799-8 http://hdl.handle.net/1721.1/62027 Kleek, Max Van et al. “Atomate it! end-user context-sensitive automation using heterogeneous information sources on the web.” Proceedings of the 19th international conference on World wide web. Raleigh, North Carolina, USA: ACM, 2010. 951-960. https://orcid.org/0000-0002-0024-5847 en_US http://dx.doi.org/10.1145/1772690.1772787 Proceedings of the 19th international conference on World wide web Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery MIT web domain
spellingShingle Van Kleek, Max G.
Moore, Brennan
Karger, David R.
Andre, Paul
schraefel, m. c.
Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title_full Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title_fullStr Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title_full_unstemmed Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title_short Atomate it! End-user context-sensitive automation using heterogeneous information sources on the web
title_sort atomate it end user context sensitive automation using heterogeneous information sources on the web
url http://hdl.handle.net/1721.1/62027
https://orcid.org/0000-0002-0024-5847
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