Your SlideShare is downloading. ×
SBSGRID_Meaning_Based_Information_Linking_Explained.docx                                                     1/4          ...
SBSGRID_Meaning_Based_Information_Linking_Explained.docx                                                       2/41. Intro...
SBSGRID_Meaning_Based_Information_Linking_Explained.docx                                                          3/43. Me...
SBSGRID_Meaning_Based_Information_Linking_Explained.docx                                                        4/43.3. De...
Upcoming SlideShare
Loading in...5
×

SBSGRID Meaning based_Information_Linking_explained

381

Published on

Meaning based Information Linking across Silos

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
381
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "SBSGRID Meaning based_Information_Linking_explained"

  1. 1. SBSGRID_Meaning_Based_Information_Linking_Explained.docx 1/4 Information Linking across Silos based on Meaning Dynamic and associative relationships based on Linked-Data brings data and information integration based on meaning (Dataset example uses Artists, Galleries and Artworks)Contents1. Introduction 22. Characteristics 23. Meaning Based Integration 33.1. Semantic Reasoning Trace 33.2. Polymorphic Roles 33.3. Decoupled Process 4© SBSGRID.NET
  2. 2. SBSGRID_Meaning_Based_Information_Linking_Explained.docx 2/41. IntroductionSBSGRID brings dynamic and associative relationships (dynamic schemas) on Linked-Data1. This integratesheterogeneous datasources without hard-coded logic. The development of a middleware (e.g. SQL statements) is notnecessary nor an ETL process. Instead information is published into facts with the instant ability of executing semanticsearch/query and information browsing (superset of SPARQL functionality). The alignment of information structures isconducted through the submission of additional facts (e.g. sameAs, subClass and hasRole facts). This can be done at anygiven point in time during run-time when the application is already deployed (declarative developmemt).2. Characteristics  Data co-existence vs. data-merging approach.  Open and dynamic schema (multiple virtual information models in parallel)  Instant information discovery through SearchQueries and incremental information structure alignment.  Inherent and hidden semantics within relational databases are retained and made accessible.  Complex relationships (database schemas) are published into polymorphic roles (graph structures). They are automatically discovered by the SBSGRID reasoner and handled accordingly (queries are context aware).  No hard-coded logic. No query development. Instead declarative and explicit statements (facts) for information structure alignment.1 see http://www.linkeddata.org© SBSGRID.NET
  3. 3. SBSGRID_Meaning_Based_Information_Linking_Explained.docx 3/43. Meaning Based IntegrationIn Linked-Data system every piece of information is expressed through a simple sentence or triple (subject, predicate,object construct) which expresses a fact. Thus every fact carries meaning and is embedded in a network of facts wherethe context becomes an active part in the query as well as information alignment and discovery process.The following example is from the art world and shows a meaning based integration through a semantic reasoning trace:3.1. Semantic Reasoning TraceQuery: "Galleries in New York City showing Modern Paintings"The system returns the gallery “Claire Oliver” (and others). The following reasoning logic led to this result:  the gallery “Claire Oliver” is linked to "Manhattan" and "Gallery"  the artist Helen Frankenthaler is linked to "Claire Oliver" and "Abstract Expressionism"  "Abstract Expressionism" is a subcategory of "Modern Painting" (reserved predicate SUBCLASS)  "Manhattan" is a subcategory of "New York City" (reserved predicate SUBCLASS)  the semantic space makes the connection and "infers" that "Claire Oliver is a [GALLERY] which shows [MODERN PAINTINGS] in [NEW YORK CITY]"Note: Semantic search solutions work on the concept level not data level (no Linked-Data). They have an ontologicalbody put on top of a fulltext-search index. This means that the information that Abstract Expressionsim is a subclass ofModern Painting is in the system. However the relationship between Claire Oliver and Helen Frankenthaler lies withinthe data and is not covered by the ontology. Thus the inference/reasoning from above can not conducted.3.2. Polymorphic RolesComplex relationships are resolved through polymorphic roles (e.g. the same person has relationships with differentorganizations in different roles based on different works and activities). These roles adapt automatically (the resultsetchanges) based on the given context in the query. Thus the logic is not hard-coded in any SQL-statement or middlewarecode. For more information see the document on the "Graphical Linked-Data Publisher".© SBSGRID.NET
  4. 4. SBSGRID_Meaning_Based_Information_Linking_Explained.docx 4/43.3. Decoupled ProcessThe mediation and virtualization of the data schema allows for a totally decoupled process. Information can be found atany given point in time (also when it is not correctly linked-in). Namespace alignment can be done during query. Thesemantic publishing of the relational schemas is not required to have the big picture in mind.© SBSGRID.NET

×