Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an input ontology matching task into smaller and more tractable matching (sub)tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed method is adequate in practice and can be integrated within the workflow of systems unable to cope with very large ontologies

We divide, you conquer: From large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings

Large ontologies still pose serious challenges to state-of-the-art on-tology alignment systems. In this paper we present an approach that combines alexical index, a neural embedding model and locality modules to effectively di-vide an input ontology matching task into smaller and more tractable matchingsubtasks. We have conducted a comprehensive evaluation using the datasets ofthe Ontology Alignment Evaluation Initiative. The results are encouraging andsuggest that the proposed methods are adequate in practice and can be integratedwithin the workflow of state-of-the-art systems

Sensitivity of polyamine metabolism to glucose deprivation is increased in neuroblastoma cells with N-myc amplification

Ornithine-derived polyamines are essential for cell proliferation, and their levels are elevated in many human tumors. Neuroblastoma, the most frequent extra-cranial solid tumor in children, harbors amplification of n-myc oncogene (which enhances polyamine metabolism) in 25% of the cases. In the present communication, the relevance of n-myc amplification in several metabolic features of human neuroblastoma cell lines is studied. A previously unknown linkage between glycolysis impairment and polyamine reduction, related to n-myc amplification, is unveiled. Results show that glycolysis inhibition is able to trigger signaling events leading to the reduction of N-Myc protein levels and subsequent decrease of both ornithine decarboxylase expression and polyamine levels, accompanied by cell cycle blockade preceding cell death. Metabolism-targeted therapies are emerging as new approaches for cancer treatment. New anti-tumor strategies could take advantage of the direct relationship between glucose deprivation and PA metabolism impairment leading to cell death described in the present work, and its apparent dependence on n-myc amplification in the case of neuroblastoma. Combined therapies targeting glucose metabolism and polyamine synthesis could be effective in the treatment of n-myc amplified tumors.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This work has been funded by Grants SAF2011-26518 (Ministerio de Economía y Competitividad, Spain), Excellence Projects CTS-1507 and CVI-06585 (Junta de Andalucía, Spain) and BIO-267 (fondos PAIDI, Junta de Andalucía, Spain). MVRP was the recipient of a FPU long-term fellowship (Ministerio de Educación, Cultura y Deporte, Spain) and a “III Plan Propio de Investigación” short-term fellowship (University of Málaga). CIBERER is an initiative of Instituto de Salud Carlos III. This communication has the support of a travel grant "Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech"

Embedding OWL ontologies with OWL2Vec

In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies by projecting the ontology axioms into a graph and performing (random) walks over the ontology graph to create a corpus of sentences. This corpus is then given to a neural language model to create concept embeddings. The conducted preliminary evaluation shows promising results

Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings

Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively divide an input ontology matching task into smaller and more tractable matching (sub)tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate in practice and can be integrated within the workflow of state-of-the-art systems

A New Record of \u3ci\u3eAtractus boettgeri\u3c/i\u3e (Serpentes: Colubridae), with Notes on Taxonomy and Natural History

We report a range extension of Atractus boettgeri, a rare snake endemic to Bolivia. This species differs from Atractus taeniatus by a higher segmental count (well outside the range for A. taeniatus) and by having only 6 maxillary teeth as opposed to 8-9 in A. taeniatus. In addition, A. boettgeri differs from A. emmeli in having 6-6 supralabials (versus 7-7) and fewer ventrals (175-177 versus 181-189 in females). All known records of A. boettgeri indicate an association between this species and the Cerrado vegetation of central Bolivia. This report is also unique in that the specimen reported herein was found in the stomach of a Common Long-Nosed Armadillo (Dasypus novemcinctus). Se reporta una extension de en la distribucion de la especie Atractus boettgeri, una serpiente endemica de Bolivia. Esta especie se diferencia de A. taeniatus por tener un numero segmental muy por encima del intervalo descrito para A. taeniatus y por tener solo 6 dientes maxilares, en vez de 8-9 en A. taeniatus. Ademas, A. boettgeri se diferencia de A. emmeli por tener escamas supralabiales en patron 6-6 (en vez de 7-7) y tener un conteo de escamas ventrales menor en hembras (175-177 versus 181-189). Incluyendo este, todos los registros conocidos para A. boettgeri parecen estar asociados con la vegetacion del Cerrado en Bolivia. El ejemplar se encontro en el estomago del tatu comun (Dasypus novemcinctus)