Text Retrieval Conference 2012 will be held Nov. 6-9, 2012.
The National Institute of Standards and Technology (NIST) is conducting the 21st annual Text Retrieval Conference (TREC), the premier experimental effort in the field, to encourage research in information retrieval and related applications. TREC is a rather unusual conference in that it starts months ahead of the actual meeting (Nov. 6-9, 2012) with the distribution of test data sets and challenges that TREC participants will use to develop and test advanced text retrieval techniques.
Finding valuable information rapidly is much more than a game for people with a high-tech phone. Text retrieval is a field of research that can save lives by helping medical researchers locate key patient information or aid lawyers seeking important data in large digital data collections—both modern-day examples of needles in haystacks.
TREC brings together scientists from academia and public and private-sector organizations to focus on improving information retrieval in specific areas. The groups develop algorithms to find information from large, challenging datasets often provided by NIST. They work throughout the year and come to NIST’s headquarters in Gaithersburg, Md., to discuss their findings at the November meeting.
A recent economic impact study* prepared for NIST found that the NIST-led TREC project has significantly improved the ability to retrieve digital data. The report notes that TREC-related improvements are responsible for about one-third of the web-search advances between 1999 and 2009 and that the improvements may have saved up to 3 billion hours of web-search time.
TREC challenges are grouped into tracks that target difficult text-retrieval challenges. Retrieving text within Medical Records, for example, addresses a common problem in designing clinical trials: finding important information from patient records that is generally in unstructured “comment” fields. Of a vast patient data set, for example, which patients take herbal products for osteoarthritis?
The 2012 TREC adds two new tracks, “Contextual Suggestion” and “Knowledge Base Acceleration.” In Contextual Suggestion, researchers will study methods for answering vague queries specifically based on personal demographics and information from calendar and contacts apps. For example, according to TREC Conference Organizer Ellen Voorhees, “A person arrives in a city for a business trip and has a free evening, so asks the search system in their smart phone ‘What should I do tonight?’ To answer this well, the system will need to integrate information about the user’s likes/dislikes with external information such as schedules of events in the city, availability of tickets, whether friends of the user are also in the area and other data.”
The Knowledge Base Acceleration track looks to automate the process of keeping a knowledge base up-to-date. One example is having a system monitor a news feed to keep a Wikipedia page current about an event, such as the Occupy Wall Street Movement, for example.
Six tracks will continue from TREC 2011: Crowdsourcing, Legal, Medical Records, Microblog, Session and Web.
Applications to participate in TREC 2012 are being accepted through February 22. For more information on TREC and participating, see http://trec.nist.gov.
The Keyword Research & Analysis Workshop will take place April 2-4, 2012 in Barcelona.
How can keyword research and analysis help my business?
Attend our three-day workshop, which introduces keyword research & analysis concepts and applications and uses lectures, presentations, case studies and discussions to gain new insights on these often overlooked branding and marketing tools. In the workshop, attendees will learn how to identify which keyword tools fit which specific situation, how to successfully implement unified and consistent keyword strategy. The workshop will challenge some assumptions you might have about marketing and branding.
We want you to get the most out of your stay in Barcelona. This is why we put together a leisure program for workshop attendees featuring many attractions of Barcelona: Sagrada Familia, Las Ramblas, Antoni Gaudi: La pedrera, Casa Batlló, Montjuic and tapas
The workshop will cover the following topics:
- Keyword research and analysis tools
- Keyword analysis as a branding tool
- Keyword analysis as a marketing tool
- Protecting trademark
- Role of keyword research in patent formulation
- Geographic targeting
- Long tail keyword research
- Statistical text analysis and data mining
- Domain name portfolio management
- Semantic analysis
- Picture worth a thousand words
Who should attend?
- Content providers
- Business Development managers
- Marketing managers
- SEO/SEM professionals
- intellectual property professionals
- Domain portfolio managers
- Convention marketing professional
- Technical writers
- Technology analysts
Attendance to this event is by personal invitation only. We are fully booked, no more registrations accepted. This announcement appears as a matter of record only.
ICDM 2012, IEEE International Conference on Data Mining, will be held December 10 – 13, 2012, Brussels, Belgium. The IEEE International Conference on Data Mining series (ICDM) is a research conference in data mining. The conference provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications.
ICDM 2012, Industrial Conference on Data Mining, will be held July 13-20, 2012, Berlin, Germany. The Industrial Conference on Data Mining ICDM is held on yearly basis. Researchers from all over the world will present theoretical and application-oriented topics on Data Mining.
IC3K 2011, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, October 26-29, 2011, Paris, France
IC3K 2011, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, will be held October 26-29, 2011, Paris, France. IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas:
KDIR, International Conference on Knowledge Discovery and Information Retrieval
The conference focus is Knowledge Discovery, an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets.
KEOD, International Conference on Knowledge Engineering and Ontology Development
The conference focus is Knowledge Engineering (KE), a discipline that refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and geographic information systems.
KMIS, International Conference on Knowledge Management and Information Sharing
The conference focus is Knowledge Management (KM), a discipline concerned with the analysis and technical support of practices used in an organization to identify, create, represent, distribute and enable the adoption and leveraging of good practices embedded in collaborative settings and, in particular, in organizational processes.
ECIR 2012, 34th European Conference on Information Retrieval, will be held 1-5 April 2012, Barcelona, Spain. The annual BCS-IRSG European Conference on Information Retrieval is the main European forum for the presentation of new research results in the field of Information Retrieval. The conference is organised by Yahoo! Research and Universitat Pompeu Fabra.
The Fifth ACM WSDM (Web Search and Data Mining) Conference, February 8-12, 2012, Seattle, Washington
The Fifth ACM WSDM (Web Search and Data Mining) Conference will be held February 8-12, 2012 in Seattle, Washington, USA.
Workshop on Semantic Graph Database Search Patterns has taken place on April 25-26, 2011, Seattle, Washington, USA. The workshop goals include:
- Identify real-world semantic graph datasets spanning multiple domains (e.g. bionetworks, social networks, e-science, and government data).
- Deﬁne a set of challenging queries representative of graph search patterns common in use cases from those diﬀerent domains.
- Identify a set of domain-independent, mathematically abstract search patterns for which the domain-speciﬁc queries are instantiations.
A new database paradigm based on graph data, and speciﬁcally semantic graph databases (SGD), is rising in ascendancy. While standards are still emerging,
the current technical driver in the community is the use of OWL ontologies to provide typing information over RDF(S) triplebases serving up semantic graphs as data instances, and facilitated by the SPARQL query language. There is an emerging consensus that systems must scale up to the order of 10^10
− 10^12 edges in the triplebase, and/or on the order of 10^6 − 10^7 classes in their ontologies. Thus, there is a need to bring high-performance computing to the SGD world.
27 researchers attended, representing academic (Indiana U, U Washington, UCSD, UT Austin, Johns Hopkins U, Rennselaer Polytechnic), government (Paciﬁc Northwest National Lab, Sandia National Lab), and industry (Oracle, Mayo Clinic, Microsoft, Noblis, Hayden, Cycorp) research labs.
Here is a workshop report.