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Explore the current state and future directions of semantics in information organization. This overview by Frank van Harmelen, released under Creative Commons, discusses how semantics underpin knowledge structuring and data integration across various domains. From defining relationships within graph structures to the implications of semantics in areas like life sciences and music databases, the presentation covers ongoing advancements and challenges. With billions of facts and rules being integrated daily, discover how semantics is shaping the understanding of data in web spaces, emphasizing collaboration and interoperability.
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Semantics: where are we now,where should we go? Frank van Harmelen Creative Commons CC BY 3.0: allowed to share & remix (also commercial) but must attribute
CS is organised as a stack Semantics increases Dick’s career
different owners & locations P3. The names are addresses on the Web [<x> IsOfType <T>] x T <village>
O W L P4. explicit & formal semantics • assign types to things • assign types to relations • organise types in a hierarchy • empose constraints on possible interpretations
Examples of “semantics” married-to Frank Lynda • Frank is male • married-to relates males to females married-to Hazel • married-to relates 1 male to 1 female • Lynda= Hazel lowerbound upperbound Semantics = predictable inference
Did semantics get anywhere?
Did semantics get anywhere? already many billions of facts & rules any CD ever recorded (almost) life-science databases basic facts on every country on the planet hierarchical dictionaries (UK, FR, NL) common sense rules & facts (100.000’s) May ‘09 estimate > 4.2 billion triples + 140 million interlinks scientific bibliographies names of artists & art works (10.000’s) Geographic names (millions) Encyclopedia
It gets bigger every month 25 billion facts & relations…
Did semantics get anywhere? Shared vocabularies (2/2) • handcrafted • music: CDnow(2410/5), MusicMoz(1073/7) • biomedical: SNOMED (200k), GO(15k), Emtree(45k+190kSystems biology • ranging from lightweight Schema.org to heavyweight (Cyc (300k)) • ranging from small (METAR) to large (UNSPC)
Is anybody using semantics for real?
NXP: data integration about 26.000 products Triple store Departments Triple store Customers
Is there anything we can’t do yet ?
heterogeneity • Linguistic, • Structural, • Logical, • Statistical, • ....
Distribution Payload priority? Caching? query-planning?
Provenance From provenance to trust? Representation? (Re)construction?
Dynamics Streams? versioning? Non-monotonicity?
Errors & noise Fuzzy Semantics? Uncertainty Semantics? Repair? Rough Semantics?