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Database Reviews and Reports MathSciNet: Mathematical Reviews on the Web, a Review Margaret Dominy Science Librarian Hagerty Library Drexel University dominymf@drexel.edu Jay Bhatt Engineering Librarian Hagerty Library Drexel University

DBpedia – Querying Wikipedia like a Semantic Database Latest dbpedia news DBpedia-Presentation at ISWC Sören presented today the paper “DBpedia: A Nucleus for a Web of Open Data” at International Semantic Web Conference in Busan, Korea. You can view the slides here. DBpedia Relationship Finder Release 2 Second Release of the DBpedia Relationship Finder. The Relationship Finder explores the DBpedia infobox dataset to find out which relations exist between two things. It can answer questions like “How are Leipzig and the Semantic Web related?“. The new version includes, amongst other changes, better algorithms and the possibility to ignore objects and properties. DBpedia Relationship Finder released Release of the DBpedia Relationship Finder. The relationship finder explores the DBpedia dataset two find out which relations exist between two things. It can answer questions like “How are Leipzig and the Semantic Web related?“. DBpedia Hack Night in Copenhagen Via Binary Relations Blog: If you are in the general vicinity of Copenhagen on the evening of the 24th of April (yep, that’s tomorrow), and remotely interested in RDF, SPARQL or DBpedia, stop by ITU, where we’ll be hacking away from 20:00. If you read Danish, see the original announcement by Claus Dahl in the kitchen: [...] dbpedia is catching on The dbpedia project started by AKSW (together with Chris Bizer from FU Berlin and OpenLink Software) is getting increasingly popular. No wonder, since the over 10 Mio. RDF triples extracted from the English Wikipedia allow the astonishing answering of previously hard-to-answer questions. Who for example knows what connects Leipzig with Innsbruck? Interesting articles about dbpedia: Did [...] Overview Do you know all mayors from towns elevated higher than 1000m, all sitcoms set in New York, or all philosophers that were influenced by Friedrich Nietzsche? Wikipedia contains information required for answering such questions, but has the problem that its constricted search capabilities only allow very limited access to this valuable knowledge-base. The Semantic Web still lacks a critical mass of RDF data online and up-to-date terms and ontologies are missing for many application domains. The dbpedia.org project approaches both problems by extracting structured information from Wikipedia and by making this information available on the Web. dbpedia.org allows you to ask sophisticated queries against Wikipedia (like the ones mentioned above) and to link other datasets on the Web to dbpedia data.

JabRef is an open source bibliography reference manager. The native file format used by JabRef is BibTeX, the standard LaTeX bibliography format. JabRef runs on the Java VM (version 1.5 or newer), and should work equally well on Windows, Linux and Mac OS X. BibTeX is an application and a bibliography file format written by Oren Patashnik and Leslie Lamport for the LaTeX document preparation system. General information about BibTeX. Bibliographies generated by LaTeX and BibTeX from a BibTeX file can be formatted to suit any reference list specifications through the use of different BibTeX style files. We support this initiative to build a searchable database of BibTeX style files, organized by journal names: LaTeX bibliography style database. You can run JabRef instantly with Java Web Start: Run JabRef.

Computer Database Available 24 hours a day via the Internet, Computer Database provides a combination of indexing, abstracts and full text for leading business and technical publications in the computer, telecommunications and electronic industries.

Amazon SimpleDB is a web service for running queries on structured data in real time. This service works in close conjunction with Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Compute Cloud (Amazon EC2), collectively providing the ability to store, process and query data sets in the cloud. These services are designed to make web-scale computing easier and more cost-effective for developers. Traditionally, this type of functionality has been accomplished with a clustered relational database that requires a sizable upfront investment, brings more complexity than is typically needed, and often requires a DBA to maintain and administer. In contrast, Amazon SimpleDB is easy to use and provides the core functionality of a database - real-time lookup and simple querying of structured data - without the operational complexity. Amazon SimpleDB requires no schema, automatically indexes your data and provides a simple API for storage and access. This eliminates the administrative burden of data modeling, index maintenance, and performance tuning. Developers gain access to this functionality within Amazon's proven computing environment, are able to scale instantly, and pay only for what they use.

Leading-edge research in the 21st century requires innovative tools and an efficient infrastructure which supports information, communication, and publishing. In order to promote the creation of scientific value and to preserve research results and knowledge, highly developed information systems need to be integrated into the research process. Our customers in science and industry all over the world highly appreciate our expertise in this field and our offer of prestigious sci-tech and patent files based on innovative technology. Innovation is emphasized in our strategy. In close collaboration with information specialists in science and industry we develop and establish information systems and apply new information technologies. We shape the scientific workplace of today and tomorrow - together with our customers and for their benefit.

Navigational databases are characterized by the fact that objects in the database are found primarily by following references from other objects. Traditionally navigational interfaces are procedural, though one could characterize some modern systems like XPath as being simultaneously navigational and declarative.