Posts Tagged ‘OWLIM’

The Importance of the Semantic Web To Our Cultural Heritage

oldmasterpaintingEarlier this year The Semantic Web Blog reported that the Getty Research Institute has released the Art & Architecture Thesaurus (AAT) as Linked Open Data. One of the external advisors to its work was Vladimir Alexiev, who leads the Data and Ontology Management group at Ontotext and works on many projects related to cultural heritage.

Ontotext’s OWLIM family of semantic repositories supports large-scale knowledge bases of rich semantic information, and powerful reasoning. The company, for example, did the first working implementation of CIDOC CRM search; CIDOC CRM is one of these rich ontologies for cultural heritage.

We caught up with Alexiev recently to gain some insight into semantic technology’s role in representing the cultural heritage sphere. Here are some of his thoughts about why it’s important for cultural institutions to adopt Linked Open Data and semantic technologies to enhance our digital understanding of cultural heritage objects and information:

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The Business Value of Reasoning with Ontologies

[Editor's note: this guest post was co-written by Héctor Pérez-Urbina (Clark & Parsia) and Juan Sequeda (Capsenta)]

Image of a human brain with computer data overlay.Important enterprise business logic is often buried deep within a complex ecosystem of applications. Domain constraints and assumptions, as well as the main actors and the relations with one another, exist only implicitly in thousands of lines of code distributed across the enterprise.

Sure, there might be some complex UML diagrams somewhere accompanied by hundreds of pages of use case descriptions; but there is no common global representation of the domain that can be effectively shared by enterprise applications. When the domain inevitably evolves, applications must be updated one by one, forcing developers to dive into long-forgotten code to try to make sense of what needs to be done. Maintenance in this kind of environment is time-consuming, error-prone, and expensive.

The suite of semantic technologies, including OWL, allows the creation of rich domain models (a.k.a., ontologies) where business logic can be captured and maintained. Crucially, unlike UML diagrams, OWL ontologies are machine-processable so they can be directly exploited by applications.

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Introduction to: Triplestores

Badge: Hello, my name is TriplestoreTriplestores are Database Management Systems (DBMS) for data modeled using RDF. Unlike Relational Database Management Systems (RDBMS), which store data in relations (or tables) and are queried using SQL, triplestores store RDF triples and are queried using SPARQL.

A key feature of many triplestores is the ability to do inference. It is important to note that a DBMS typically offers the capacity to deal with concurrency, security, logging, recovery, and updates, in addition to loading and storing data. Not all Triplestores offer all these capabilities (yet).

Triplestore Implementations

Triplestores can be broadly classified in three types categories: Native triplestores, RDBMS-backed triplestores and NoSQL triplestores. Read more