The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I

... scale RDFS/OWL reasoning with spark. In: IPDPS, pp. 700–709 (2015) 7. Kaoudi ... webscale parallel inference engine using mapreduce. JWS 2010 (2012) Urbani, J ... Ozeri, A.: Parallel and distributed processing of rules by datareduction ...

... (C), is defined in a three value logic with values {true, false, error} as follows: – If C is an atomic filter constraint, excluding bound(), and var(C) Z dom (u), then p(C) = error; else if C is ?X = u and u(?X) = u, or if C is ?X= ?Y ...

... constraintAtom SWRLAtom xsd:string artifactAtom ConfigurationArtifactSpecification ... atom be a variable. This variable is bound when the task processor evaluates ... 4.1 Defining Constraints swrl rules provide a rather flexible way to ...

... text, y = u(x) e IR. - Let us now prove that, for every triple (s, p, o) € G, (1(s), u(o)) € text(v(p)). If (as, a p, vo) € G, then, by construction of H(G), there exists an hyperarc (h(xs), h(ap), h(vo)) of H(G). Since T is a H ...

4th International Semantic Web ... PS2 , respectively. Moreover, since this measure is based on the semantic similarity intrinsic to the meanings of these two variables, P(A, B) is assumed invari- ant with respect to changes in PS1 and PS2 ...

... cost drivers . Provision of tool support for these two areas of ontology ... cost estimations for ontology engineering processes based on the available data ... IAAI , pages 221–226 , 1999 . 4. S. Devnani - Chulani . Bayesian Analysis of ...

... SCAG IO Table SCAG IMPLAN Emp Aggregate WISER WCUS CFS Port LA/LB RAND Airports Sectors Intra-Regional Attractions ... manual steps and custom-designed programs. Our approach automatically generates such a data processing workflow in ...

... IMDB4. Moreover, these sources are interconnected and mapped to external vocabularies, like OWL Time [4], Geo Ontology, TV Any- time genre classification5 and WordNet6,7. The resulting abundance of data is controlled in the user ...

... UTtest : This represents a manually created set of instances of the entity type for which a NER classifier is to be trained . In this work , we split this set into a set of seed terms Tseed used for training , and test terms Ttest used ...

... (40K rules per relation on average) acquired by the RE system Web-DARE [22], together with their sentence mentions ... rules. In contrast to frequency-based filters, our semantic rule filter, on the one hand, deletes those high-frequency ...

... properties. For example, products that belong to the category “Classical Music Concert” have the properties opus, movement, composer and performer (in addition to the properties that are common to every product), whereas products that ...

... wikipedia.org/wiki/Barack Obama>. YAGO covers topics of general interest such as geographical entities ... Cristiano Ronaldo's Wikipedia page |years2 = 2003 − 2009|clubs2 = [[Manchester United F.C.]] YAGO extracts the start time and end ...

... Statoil's EPDS database. Moreover, from the research point of view, we plan to develop ontology bootstrapping techniques that can be more targeted to specific scenarios, e.g., that could work not only with database schemata and data ...

... Hamlet puts Ophelia to a test to prove her honesty: guessing (correctly) that the two conspirators are hidden behind ... unit: boundaries are decided through the detec- tion of a specific goal pursuit, distinct from the goals pursued in the ...

... price, lifetime and their driving range, improve over time. The rate of urban population growth is a key determinant of model outcomes because it affects the aggregate demand for transport. A larger population translates to more trips of ...

... phrases that best describe the content of text. The automatic generation of ... process of extracting a small set of phrases that best describe a document. This ... focus on extracting present keyphrases from an input text, including ...

... acts as a client 3 Available at http://kaon.semanticweb.org 4Available at http://oiled.man.ac.uk rdf:type rdfs:Class. rdf:type rdfs:Class. rdfs:subClassOf A. rdf:type B. A B Cooking the Semantic Web with the OWL API 661.

... 40k distinct rules were learned per relation (column “#Rules”). The total system runtime per relation was on average around 19 hours, with the processing being distributed on three server machines (16 cores with ... Rules 271 Rule Filtering.

... ETL (“Extract, Transform and Load”) tools. UnifiedViews [14] and LinkedPipes [13] have been implemented during the years, providing environments fully based on Semantic Web principles to feed and curate RDF knowledge bases. A different ...

... điền , đổi thửa , tạo điều kiện cơ giới hoá sản xuất , đồng thời thực hiện ... hành tiết kiệm chi tiêu , tập trung ngân sách hỗ trợ cho việc khôi phục và ... văn hoá thể thao , giáo dục , đào tạo ... nhằm cung cấp nguồn lao động có chất ...

... best and first account of this por- tion of the Alps : but see Route 61 ... place is named , is now used as a chapel . 10 minutes ' walk behind the inn is a ... torrent Visp is 13 ft . above a part of the vil- lage , and the Saltine is ...

... Intro. Peter Simpson. Auckland: Penguin, 1983.* Paula Morris Queen of Beauty. Auckland: Penguin, 2002. Hibiscus ... Dark Souls. New York: Scholastic, 2011. Rangatira. Auckland: Penguin, 2011. John Mulgan Man Alone. London: Selwyn ...

... ( TARC ) ( 31 ° 59'S ; 147 ° 57'E ) to determine the carrying capacity of disclimax pasture dominated by windmill grasses ( Enteropogon acicularis and Chloris truncata ) , Stipa spp . and Danthonia spp . After 8 years of grazing ( 1967 ...

... Octave Convolution pre-trained on ImageNet [4] as our backbone. The networks are optimized with stochastic gradient descent (SGD). We set α in Octave Convolution to 0.5, the kernel number n and the minimal kernel scale m are set to 7 ...

... BankP), Kh = h0 ⊓ ObjectP ⊓ ∃hasValue.(h1 ⊓ ValueP) ⊓ ∃issuedBy.(h 2 ⊓ BankP), ̄H = (h0 ,h1 ,h2), H = SAP(DebitAccount,CreditCard)=(∃allows.CreditP, , CompanyP), σ[ ̄H,H] = {h0 → ∃allows.CreditP,h 1 → ,h2 → CompanyP} ...