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Concept based semantic search
1.
Concept-based, semantic search Andreas
Blumauer Semantic Web Company www.semantic-web.at © Semantic Web Company – http://www.semantic-web.at/ 1
2.
Content/agenda 1. What means
„concept-based“? 2. Concept-tagging 3. Semantic search • Faceted search • Similarity search 4. Semantics as a means for ‚interpretation‘ 5. Topic pages 6. Three levels of semantic search © Semantic Web Company – http://www.semantic-web.at/ 2
3.
What is a
concept? The semiotic triangle Mental model of „A-Class“ concept Another mental model of „A-Class“ another object A-Class A-Klasse label object W 176 © Semantic Web Company – http://www.semantic-web.at/ 3
4.
Concept-based enterprise vocabulary
http://voc.org.com/core/355 http://voc.org.com/core/54 Vehicle prefLabel prefLabel manufacturing compact car company broader broader Daimler-Benz A-Class prefLabel related prefLabel (de) Daimler AG A-Klasse http://voc.org.com/core/97 http://voc.org.com/core/176 W 176 narrower narrower Mercedes-AMG prefLabel related prefLabel AMG A 250 Sport http://voc.org.com/core/77 http://voc.org.com/core/44 Each concept has a unique URI and can have various multi-lingual labels. Additionaly, it can have various types of semantic relations with other concepts. 4 W3C´s SKOS standard describes a pre-defined set of semantic relations especially for controlled vocabularies. © Semantic Web Company – http://www.semantic-web.at/ 4
5.
Concept-tagging vs. Term-tagging Concept-tagging
is done on top Enterprise vocabulary of concepts which are already part of the enterprise vocabulary, thus contextualised ‚Term-tags„ become a ‚concept„ and linked to other concepts. as part of the enterprise vocabulary Term-tagging means that tags are extracted from text (automatically via text mining) which are not part of the Concept Tagging controlled vocabulary yet. --- ------ - Term Tagging Term-tags can be inserted into the enterprise vocabulary. -- --- ---- - This extends and refines the ---- ---- --- vocabulary more and more. ---- --- - -- - --- ---- -- --- ------ Content from CMS © Semantic Web Company – http://www.semantic-web.at/ 5
6.
Concept-tagging: pre-condition for
semantic search W 176 search --- -- ----- -- prefLabel ------ ---- --- A-Class ------ --- ---- -- --- -- narrower W 176 A 250 Sport ---- - ---- ---- ---- ---- --- prefLabel A 250 Sport © Semantic Web Company – http://www.semantic-web.at/ 6
7.
Traditional search methods
vs. semantic search W 176 search Semantic: prefLabel Can the search phrase A-Class be found analogously? Traditional: narrower Can the search phrase W 176 be found literally in the document? prefLabel A 250 Sport --- -- ----- -- --- -- -- --- - ------ ---- --- ----- --- ----- ------ --- ---- - --- ---- --- -- --- --- ---- ----------A 250 A 250 Sport ---- - Sport ---- ----- ---- ---- ---- ---- ---- ---- ---- --- --- © Semantic Web Company – http://www.semantic-web.at/ 7
8.
Semantics as a
means for interpretation Semantics helps to make different language levels or W 176 search various perspectives comparable. prefLabel A-Class Example: Vendors and their customers quite often talk narrower W 176 different languages. Wrong or sometimes time-consuming ‚translations„ and prefLabel A 250 Sport interpretations have to be done by the customers themselves. Example: The state of ----- --- ----- knowledge of employees can be - --- ---- ---- quite divergent. Semantics as a --- --- -A 250 search assistant can serve especially less experienced Sport ---- ----- colleagues. ---- ---- ---- --- © Semantic Web Company – http://www.semantic-web.at/ 8
9.
Concept-based high-precision facet
classification #1 ---- --- -- -- Daimler-Benz ----- Synonyms and hidden labels: #1 is also classified as ‚Daimler - --- ------ --- AG„ because ‚Daimler-Benz„ is also (an old) name for ‚Daimler - ----- ---- --- AG„. - ---- ------ -- Transitivity: COMPANY #2 is categorized as ‚vehicle manufacturer„ too, because in #2 ----- ------ -- our thesaurus ‚AMG„ is narrower Vehicle manufacturer (2) (is part of) of ‚Daimler„ which is a - ------ -- --- ‚vehicle manufacturer„. ---- ---- ----- Daimler AG (2) ---- ---- ---- AMG -- AMG (1) ---- --- ------ -- Concept-/thesaurus-based facet classification of documents is as precise as the classification scheme used by the enterprise thesaurus itself. In consideration of all different labels of concepts and their transitive hierarchical relations, a more precise facet classification can be realised than with traditional term-based methods. 9 © Semantic Web Company – http://www.semantic-web.at/ 9
10.
Similarity search: efficient
re-use of existing information Mercedes-AMG --- -- AMG http://voc.org.com/core/77 --- ------ --- prefLabel ------ -- ---- AMG -- ---- ----- - -- --A 250 Sport - --- ----- ---- http://voc.org.com/core/176 --- ---- ----- -- --- --- -- --- ------ -- A-Class ---- ---- --- - Mercedes-AMG -------- ----- -------- --- -------- -- W 176 W 176 ---- narrower ---- ----- ---- ---- ---- --- A 250 Sport http://voc.org.com/core/44 Content-authors as well as end-users can benefit from similarity search (content recommendation), e.g. by ‚skim reading„ or by the avoidance of duplicated work. Even if two documents have no words in common they can be classified as similar when using a concept-based text analysis. 10 © Semantic Web Company – http://www.semantic-web.at/ 10
11.
Topic Pages: Mashups
for a fast 360O view Articles (twitter, videos etc.) can be retrieved Short http:/ from various content sources description / Related concepts CMS Geo search API 11 © Semantic Web Company – http://www.semantic-web.at/ 11
12.
Linked Data: complex
queries on top of standard technologies Example: Find industry news which mention countries or regions, in which our export volume increased by more than 10% over the last 5 years an which mention either one of our products and/or a competitor. (Federated) SPARQL Queries Industry Export statistics News 12 © Semantic Web Company – http://www.semantic-web.at/ 12
13.
Conclusio 1: The
three levels of semantic search Year in which the 2014 Semantics is explicitly available via linked knowledge models. underlying Content from various sources and deparments can be linked and technology will Linked Data mashed on top of an explicit meta data layer. Complex queries be/has been rolled based search which use data from many sources can be made by using the out. standard query language SPARQL. 2011 Semantics is explicitly available by using controlled vocabularies and thesauri. Thesauri are the basis for precise text analysis and Concept- to build a semantic index. Building knowledge models is based search especially cost-efficient for larger organisations since a more precise search can be provided. No Standards 2005 Semantics is calculated by text analysis. Example: Because Term-based „Dieter Zetsche“ frequently occurs together with „Daimler AG“ in a text the algorithm assumes that those two phrases relate search somehow to each other. Term-based methods are less precise than the two from further above. © Semantic Web Company – http://www.semantic-web.at/ 13
14.
Conclusio 2: Explicit
metadata layer Data Data Research Production Metadata: • Stored and processed separately from data • Metadata management is part of the enterprise information management strategy Data Data Marketing/Sales HR © Semantic Web Company – http://www.semantic-web.at/ 14
15.
“Thank you for
your time and please forward any comments or questions to me to get more information on our product or linked data & vocabularies!” Andreas Blumauer Managing Partner a.blumauer@semantic-web.at Semantic Web Company GmbH http://www.semantic-web.at/ Mariahilfer Strasse 70/8 http://poolparty.biz 1070 Vienna Austria http://twitter.com/semwebcompany © Semantic Web Company – http://www.semantic-web.at/ 15 15
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