of a computer design. Interface will continue to be an important and valuable element of robotic design as well. The
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Rescooped by Victor Jimenez from Ideas from and for MAKERS |
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Knowledge Nuggets
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Scooping up nuggets like Pac-Man! KNuggets is a curated board of ideas, innovations, and resources on Knowledge Management, Communication, Collaboration, and Learning.
Curated by
Victor Jimenez
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IBM says a new division, with 2,500 employees, will be devoted to the supercomputer’s so-called data analysis and recommendation technology.
Victor Jimenez's curator insight,
January 12, 2014 9:56 AM
IBM's Watson is moving the bar in Cognitive Computing for better decision-making.
From the article...
"...a major shift is underway [in the computing business]..." "Watson does more than just find the needle in the haystack. It understands the haystack. It understands context." |
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DARPA has kicked off a project to fine tune web searches by topical domain rather than subject. By Bob Brewin
Victor Jimenez's curator insight,
February 11, 2014 1:46 PM
Thanks to Bob Brewin for posting the original link on defenseone.com!
[FYI….pardon my citations in this post, I am trying to practice my APA citation-ing (sp?) for better writing]
DARPA’s recent Broad Agency Announcement on the intent of the Memex program, DARPA-BAA-14-21, calls for innovative assistance from industry to fill the gap in current search technology. The announcement is basically a Request For Proposals (RFP) which DARPA will evaluate industry interest and response on potential solutions. Some of the DARPA views on this gap left by current search technology, as specified in the announcement, is that the technology “is limited by a one-size-fits-all approach [which provides] a centralized search [with] limitations in the scope of what gets indexed and the richness of available details ... common practice misses information in the deep web and ignores shared content across pages.” (2014, p.4)
In their own words, the agency’s goals for new software seem to be focused at developing new ideas and practices for “domain-specific web content indexing and search, democratizing the creation of an index and inventing better methods for interacting with and sharing information.” (2014, p. 5)
The intent is to move past the manual method of searching for a match between exact key words located in a centralized index, and towards a future where a search can reach the large volume deep web content such as temporary or unconnected pages or content which has already been aggregated, normalized, or otherwise already impacted when used for analysis.
DARPA has expressed that their intent is not to develop a new and invasive technology for monitoring individual behavior of citizens. DARPA’s specific comment in the announcement is as follows, “The Memex program is specifically not interested in proposals for the following: attributing anonymous services, deanonymizing or attributing identity to servers or IP addresses, or gaining access to information which is not intended to be publicly available.” (2014, 5)
I think the intent is to find a better way of doing what we already do on the internet, which is accessing a vast amount of knowledge in a simple manner and with an expectation for finding a relevant result to our questions. I, for one, can believe their intent is genuine and the desire to find new ways of spying on citizens is not present here. After all, how else are we going to be able to have the AI-like interfaces (like JARVIS from Marvel’s series of Iron Man movies or the ship’s computer from the Star Trek the Next Generation television shows)? If we hope to verbally interface through unstructured or colloquial styles as we see in our favorite sci-fi shows, we need to give our tech some type of logic to get the answers we need.
Defense Advanced Research Projects Agency. (2014) Broad Agency Announcement: Memex (DARPA Funding Opportunity No. DARPA-BAA-14-21). Retrieved on February 11, 2014 from URL: http://go.usa.gov/BBc5 |
This article by Mark Stephen Meadows provides an interesting look at the next stage of challenges in designing better ways for humans and machines to communicate. Sci-fi fans who are interested in the future of Artificial Intelligence may want to read more about Mr. Meadow’s insights. I’ve found the topic to provide great inspiration for ideas on what the future may hold and perhaps, how we should approach design of this technology. Check this article out and see where your mind takes you!
My own mind trail took me back to the design of language processing for an artificial system…
Per Wikipedia, Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. The intent of NLP seems to be to find a better way for computers to understand human, natural language inputs.
To enhance knowledge management systems in organizations, I’ve been looking into the importance of language use strategy to enhance communication. While there is much to review on this topic, I’ve settled on beginning with effective communication through word choices among teams. This influences the design of IT systems which support those teams.
Some of my own novice level writings on this subject covered the following,
“A controlled vocabulary (CV) deserves attention from data administrators in any operational environment since a CV is essential to perform the search and retrieval activities required of effective communication and knowledge transfer. This is especially true among human-to-machine communication where at least one side of an exchange (for now I say it is only the human side) must apply their own tacit knowledge of the subject to choose terms for searching and for qualifying a search result. The effectiveness of these exchanges depends on the degree of similarity in the choice of term made by the indexer and the choice forwarded by the searcher. A CV is an effective method of improving the similarities of indexer and searcher choices, thereby enhancing communication.”
One (among many) difficulty in designing a vocabulary for machines to use when communicating with humans via natural language would be: Keeping the language relevant. A CV must reflect all the world views of it’s users for the time in which it is to be used. Now, given that people’s views on ANY given subject are constantly changing; design teams must continually update CVs to maintain their usefulness
These comments draw from the author’s research on the topic and further details on cited resources/references can be found at: https://www.academia.edu/10325048/Considerations_For_The_Creation_Of_A_Vocabulary_For_Knowledge_Sharing