E-commerce sites, auction sites, financial institutions, insurance companies and telephone companies all have event based data that describes transactions between customers (Social Networks) that are located in time and space (GeoTemporal).
All these transactions together form interesting social graphs and patterns of customer behavior. Some of these behaviors are very interesting from a marketing perspective, other behaviors might point to fraudulent actions. Analyzing graphs and geospatial oriented data is notoriously hard to do with typical big data solutions, such as Hadoop, so we use a hyper scalable graph database to do this analysis.
We will present a number of new technologies to make it very straightforward and user friendly to analyze behavioral patterns. We discuss extending SPARQL 1.1 with a large number of magic predicates for geospatial, temporal and social network analysis so that non-specialists can very easily build very powerful queries. We will present new visual discovery capabilities to GRUFF, a graphical user interface for Graph Search. We will demonstrate how users can explore visual graphs and easily turn interesting patterns into SPARQL queries.
To register for this webinar, see here
The management of partner relationships and the associated legal agreements for large projects continues to escalate in complexity. Currently, legal/risk experts have no tools to detect, monitor and manage risk that match this exploding complexity, velocity and data.
For example, contracts utilized for infrastructure construction represent some of the most complex of contracts and carries with them the successful creation of a bridge or a new multi-story building. With sub-contractors in the hundreds and the associated contracts to define how the project will be constructed in the 1000s of pages, the ability of a project manager to constantly be aware of impending risks, defaults, substantial potential litigation and damages has become virtually unmanageable.
Decomposing these complex relationships, via graph technologies, into discrete components and linking these components to relevant content, inside and outside of a corporation promises to facilitate real-time automatic calculation of risk, flagging of non-compliance and improve situational monitoring of projects.
In this presentation we discuss the graph based technologies that facilitate the ability to:
To register for this webinar, see here
Life Science and Healthcare organizations use RDF/SKOS/OWL based vocabularies, thesauri, taxonomies and ontologies to organize enterprise knowledge. There are many ways to use these technologies but one that is gaining momentum is to semantically index unstructured documents through ontologies and taxonomies.
In this talk we will demonstrate two projects where we use a combination of SKOS/OWL based taxonomies and ontologies, entity extraction, fast text search, and Graph Search to create a semantic retrieval engine for unstructured documents.
The first project organized all science related artifacts in Malaysia through a taxonomy of scientific concepts. It indexed all papers, people, patents, organizations, research grants, etc, etc, and created a user friendly taxonomy browser to quickly find relevant information, such as, "How much research funding has been spent on a certain subject over the last 3 years and how many patents resulted from this research".
The second project discusses a large socio-economic content publisher that has millions of documents in at least eight different languages. Reusing documents for new publications was a painful process given that keyword search and LSI techniques were mostly inadequate to find the document fragments that were needed. Fortunately the organization had begun developing a large SKOS based taxonomy that linked common concepts to various preferential and alternative labels in many languages. We used this taxonomy to index millions of document fragments and we'll show how we can perform relevancy search and retrieval based on taxonomic concepts.
To register for this webinar, see here
The third annual NoSQL Now! Conference is the largest vendor-neutral forum focused on NoSQL (Not Only SQL) technologies.
Join us for Franz's Presentation - Tracking Moving Objects in a Graph Database Wednesday, August 21, 4:15 PM - 5:00 PM
For additional conference information, see here.
AllegroGraph user, KnowMED, walked away the big winner of the Semantic Start-Up Competition. The Semantic Web Blog caught up with CTO Matthew Vagnoni, MS, and CEO Jerry D. Scott to further discuss the companyҳ winning entry, the Clinical Discovery Platform, for helping the health care sector semantically integrate data and ask natural language questions of that data, to support clinical research and complex decision-making.
The problem that the health care industry at large faces of not being able to easily and efficiently integrate and share data across organizationsҠborders is equally a challenge right within the institutions themselves. "Large modern health care organizations are somewhat insular,: says Vagnoni...
To read the full interview, see here.
Gruff is a freely downloadable graphical triple-store browser that attempts to make data retrieval more pleasant and powerful with a variety of tools for laying out cyclical graphs, displaying tables of properties, managing queries, and building queries as visual diagrams.
The Gruff Learning Center offers tutorials and training videos to help accelerate the new user's learning curve.
Visit the Gruff Learning Center here.
Videos covering AllegroGraph and related technologies.
Visit AllegroGraph's Channel here.
Congrats @semanticbus on the funding - Powered by AllegroGraph.
#rdf #semweb #graphsearch #nosql
Gartner Names Semantic Technologies To Its Top Technology Trends Impacting Information Infrastructure in 2013. Semantic technologies have made it to Gartner's list of the top technology trends that will impact information infrastructure this year. Read the full article here.
Semantic Case Study: Pfizer Moves Semantic Tech Forward, Helping Business Respond To Cost Pressures And Realize Efficiency Gains. A couple of years back, The Semantic Web Blog visited with Vijay Bulusu to gain some insight into how pharma giant Pfizer Inc. was moving forward with semantic technology. At the recent Semantic Technology and Business Conference in New York City, Bulusu, director, informatics and innovation at Pfizer, provided additional perspective on the issue - Read the full article here.
Semantic Case Study: EPIM ReportingHub.The E&P Information Management Association (EPIM) launched EPIM ReportingHub (ERH), an interesting semantic technology project in the field of oil and gas. Read the full case study here.
KRSTE.my (Knowledge Resource for Science and Technology Excellence, Malaysia) is an initiative, based on AllegroGraph, by MOSTI and spearheaded by MASTIC to address science and technology issues and challenges faced by the community, the ministry and the country. KRSTE.my is designed to be a Single Point Access Facilities (SPAF) providing intelligent collaborative knowledge management and learning services platform on Science and Technology and Innovation. More info here.
Recorded past Semantic Technologies Webinars: Recorded Webinars
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