NLP finding mass audience

January 9th, 2008 by aj

I just came back from our semantic web SIG event- another exciting session on cool technology and potential killer application. This time, it’s the “old” NLP, natural language processing. Barney Pell, CEO of Powerset gave an overview on how NLP is solving the chicken and egg problem facing the semantic web. Powerset’s CSO Ron Kaplan then showed what their not-yet released search engine can do. I’m very impressed by their ambitious plan to build deep semantic index of public web pages. What’s more exciting to me, according to Barney, is that they may make their semantic data available to developers. That will enable developers to explore the power of semantic web.

In addition, Rion Snow from Stanford University presented his Ph.D. work on expanding WordNet by NLP trick.

It seems to me search engine may be the vehicle that can deliver mass audience to NLP technology

-aj

more intelligence coming to the web - 2007-12-13 event

December 6th, 2007 by aj

Subject

semantic web, intelligence, interface

Category

news

Content

Last month, our semantic web SIG had an interesting event focusing on Intelligence at the Interface. More than 100 attendees were amazed by the new intelligent devices and applications being developed at Yahoo, PARC, SRI and Radar Networks. Given such a high level interest from the community, we are going to repeat the same event in San Francisco next Thursday, Dec. 13th.  Please note that pre-registration is required for this special event since seating is limited. For more info and registration (free for SDforum member), go to SDforum semantic web SIG’s event page.

Author

AJ

Contact Person

AJ

Alternative Web Page

http://sdforum.org/index.cfm?fuseaction=Page.viewPage&pageId=656&parentID=483&nodeID=1

2007/11/07 event: Intelligence at the Interface

October 31st, 2007 by aj

Subject

web interface, intelligence, semantic web

Category

web interface, intelligence, semantic web

Description

The interfaces we use to interact with the world’s information are getting smarter. First we had web portals, which give us someone else’s idea of the content we should see. Then came search engines, which let us tell the system what we want. We are about to see the next wave — intelligence at the interface — which will know a lot more about us, our interests, our information, and our environment. This SD Forum event will showcase four exciting new examples of intelligence at the interface developed by Bay Area companies.

  • SRI will demonstrate an intelligent assistant system that came out of an ambitious AI research program. It learns about your documents, email, people, schedules, and meetings, and learns even more as you use it. It helps you organize your information world, prepare for meetings, create presentations, and find information in the context of your work.
  • Yahoo! Research Berkeley will demo ZoneTag and Zurfer, mobile-phone photo-driven applications that use your social, spatial, and temporal context to support and enhance key user tasks on the mobile device. They intelligently help you capture, upload, tag, view and search for photos on your mobile device, minimizing requirements on explicit input and user attention.
  • PARC will demonstrate a mobile leisure guide, codenamed Magitti, which recommends places to visit in an urban environment. It pays attention to your time, location, past behavior and preferences and it also infers your current and future activity type to better target its recommendations.
  • Radar Networks will demonstrate a new online service based on their Semantic Web platform that helps people organize, find, and share their information more intelligently. It knows about the semantic content of information of all sorts, from web content to email.

Start Time

2007/11/7 6:30pm

End Time

2007/11/7 9:00pm

Location

Cubberley Community Center, 4000 Middlefield Rd., Room H-1, Palo Alto, CA. Directions

Organizer

SDForum Semantic Web SIG

Event Link

http://www.sdforum.org/index.cfm?fuseaction=Calendar.eventDetail&eventID=12956

Presentation

Presenter

Panelist Bios:

Adam Cheyer, SRI

Adam Cheyer is currently a Program Director in SRI’s Artificial Intelligence Center, where he serves as Chief Architect of the CALO/PAL project. Previously, Mr. Cheyer was VP of Engineering at Dejima, a mobile solutions company, and before that, VP of Engineering at Verticalnet, an enterprise software provider. As Senior Scientist and Co-Director of the Computer Human Interaction Center (CHIC) at SRI International, Mr. Cheyer led a multidisciplinary team of researchers exploring web services, distributed knowledge, and pervasive computing.

Dr. Mor Naaman, Yahoo! Research Berkeley

Mor Naaman is a research team lead at Yahoo! Research Berkeley (Yahoo! Advanced Development Research). His research focuses on context-based tools and algorithms for interacting with media. Mor has a Ph.D. in Computer Science from Stanford University. His research in the Stanford Infolab also focused on management of digital photographs, thereby allowing (and requiring!) him to take photos throughout his working life. In previous careers, Mor was a professional basketball player as well as a software developer and a college radio DJ.

Kurt Partridge, PARC

Kurt Partridge is a researcher in the Ubiquitous Computing Area in the Palo Alto Research Center (PARC). His research spans a variety of areas, including context awareness, activity modeling, location modeling, mobile device interaction, and wearable computing. He is particularly interested in systems and devices that blend naturally with people’s everyday activities. Kurt received a Ph.D. in Computer Science from the University of Washington in 2005.

Victoria Bellotti, PARC

Victoria Bellotti is a Principal Scientist and manager of the Socio-Technical and Interaction Research (STIR) group at PARC. She studies people to understand their practices, problems and requirements for future technology. She also designs and analyzes systems, focusing on user needs and experience and is an inventor on multiple patents and pending patent applications. Her past work encompasses domains such as transportation, process control, computer-mediated communication, collaboration and ubiquitous computing. Victoria is best known for her research on personal information management and task management. However, more recently, she has been focusing on user-centered design of context- and activity-aware computing systems.

Nova Spivack, Radar Networks

Nova Spivack is one of the leading voices of the emerging Semantic Web, often referred to as Web3.0. Nova founded Radar Networks to develop semantic social software.
In 1994, Nova co-founded EarthWeb (IPO 1998). Nova has worked at Individual, Xerox/Kurzweil, Thinking Machines, and also with SRI International on the DARPA CALO program and nVention. Nova founded Lucid Ventures, and co-founded the San Francisco Web Innovators Network. As a grandson of management guru Peter F. Drucker, Nova shares his grandfather’s interests in the evolution of knowledge work. In 1999 Nova flew to the edge of space in Russia with Space Adventures.

Moderator Bio:

 

 

Tom Gruber is an innovator in technologies that augment human intelligence, individually and collectively. At Stanford University he did foundational work in Ontology Engineering and the precursors of Semantic Web technology to enable knowledge sharing and coordination among heterogeneous, distributed systems. During Web 0.1, he built the first public library for sharing ontologies on the Web; led the team that deployed the first virtual document applications on the Web that generate natural language explanations in response to questions; and invented the first widely-used open source application that turns email conversations into collective memories on the Web. During Web 1.0, he led technology development at Intraspect, an enterprise software company that pioneered the space of Collaborative Knowledge Management — software that helps large, distributed communities of professional people contribute to and learn from a collective body of knowledge. During Web 2.0, he led technology development at RealTravel.com, a popular user-contributed content site where travelers from around the world find and share their travel experiences. During Web 3.0, he is working on technologies that will bring intelligence to the interface.

Contact Person

SIG co-chair AJ Chen (ajchen-at-web2express.org) or Jeff Pollock (jeff.pollock-at-oracle.com)

Alternative Web Page

Use semantic web to make Job Feed more effective

September 3rd, 2007 by aj

Current job feed has limited structured information:

Currently, job feed is a specific type of RSS feed. Because RSS specs define only a small number of attributes, it’s difficult to for RSS feed to capture every attributes of job information in separate fields. In stead, RSS feed usually combines everything in one job opening into a single field - the “description” field. Obviously, job data presented in RSS feed lacks the structure necessary for field-based search and comparison.

New RDF feed gives the detailed structure for job opening information:

I believe ontology and semantic web standard language RDF provide the perfect answer for job feed. The basic deal is simple: define an ontology for representing job opening information and then use it to encode job data in RDF format. Each job opening data exists as a RDF object with an unique URI. RDF job feed carries one or more such RDF objects for job opening data.

Because the semantic web is taking off, I believe job feed in RDF format will be automatically consumed by more and more job search engines. This means in the near future employers may only need to provide RDF job feeds for any new jobs. Once the job feed is created, the job openings will immediately become available to everyone on the web and they can be automatically compared to other openings in details.

Ufeed provides free RDF job feed service:

To enable employers to take advantage of the semantic web, last week I launched a new free online data feed service on the home page of web2express.org web site. You can use it to easily create job feeds in RDF format in addition to RSS2.0 format. Your feeds are immediately available to all search engines, which can acquire the RDF data and provide smart search on your job openings.

- AJ

Give Product Feed a semantic web edge

September 3rd, 2007 by aj

Why product feed?



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