Abstract: A method for estimating a time variant signal representing a seismic source obtains seismic data recorded by at least one receiver and generated by the seismic source, the recorded seismic data comprising direct arrivals and derives the time variant signal using an operator that relates the time variant signal to the acquired seismic data, the operator constrained such that the time variant signal is sparse in time.

Abstract: A method for estimating a time variant signal representing a seismic source obtains seismic data recorded by at least one receiver and generated by the seismic source, the recorded seismic data comprising direct arrivals and derives the time variant signal using an operator that relates the time variant signal to the acquired seismic data, the operator constrained such that the time variant signal is sparse in time.

Abstract: A method for generating a mapping rule for converting relational data into RDF format data includes obtaining a first mapping rule for converting relational data in a first relational database into RDF format data, wherein a URI pattern of the first mapping rule expresses features of the relational data in the first relational database; parsing a generated rule for the URI pattern of the first mapping rule; determining that a second relational model of the second relational database and a first relational model of the first relational database conform to pattern matching; and generating a second mapping rule for converting the relational data of the second relational database into RDF format data, based on a mapping relationship between the generated rule and the pattern matching of the first relational model and the second relational model.

Abstract: A method for generating a mapping rule for converting relational data into RDF format data includes obtaining a first mapping rule for converting relational data in a first relational database into RDF format data, wherein a URI pattern of the first mapping rule expresses features of the relational data in the first relational database; parsing a generated rule for the URI pattern of the first mapping rule; determining that a second relational model of the second relational database and a first relational model of the first relational database conform to pattern matching; and generating a second mapping rule for converting the relational data of the second relational database into RDF format data, based on a mapping relationship between the generated rule and the pattern matching of the first relational model and the second relational model.

Abstract: In order to use near-field measurements to obtain signature of a signal penetrating seafloor in a shallow water surveyed area, the water-bottom reflections' effect is removed. The removal is performed by obtaining first a far-field initial estimate from stacked primary pulses in the near-field measurements, and then estimating water-bottom reflection portions for different depths using differences between the near-field measurements and the far-field initial estimate. The signature of the air-gun for each shot is then deblended from the near-field measurement for the shot using the one of the water-bottom reflection portions according to a water-bottom depth associated with the shot location.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate automatically mapping different data types are provided. In one embodiment, a computer-implemented method comprises: constructing, by a system operatively coupled to a processor, an index from one or more classifier models for one or more data types; scoring and ranking, by the system, one or more candidate pairs for the one or more data types based on confidence score; and analyzing, by the system, how the one or more candidate pairs are scored and automatically generating the one or more classifier models used to construct the index.

Abstract: Techniques are described that facilitate automatically providing entities with rephrased versions of standard answers. In one embodiment, a computer-implemented is provided that comprises determining, by a device operatively coupled to a processor, a talking style of a plurality of talking styles that an entity is associated with based on reception of natural language input from the entity proposing a question related to a defined topic. The method further comprises selecting, by the device based on the talking style, an answer rephrasing model from a plurality of answer rephrasing models respectively configured to generate different rephrased versions of a standard answer to the question, and employing, by the device, the answer rephrasing model to generate a rephrased version of the standard that corresponds to the talking style.

Abstract: Disambiguation in mention detection. The method includes: determining at least one location in a text at which a target surface form in the text appears; obtaining an overall word-bag context of the target surface form in the text, the word-bag context at each of the at least one location including words within a predetermined neighborhood of the location; obtaining an overall resource context of the target surface form in the text, the resource context at each of the at least one location including resources corresponding to a further surface form within a predetermined neighborhood of the location; and determining a similarity between the target surface form and a candidate resource for the target surface form based on the overall word-bag context and the overall resource context. A system for disambiguation in mention detection is also provided.

Abstract: A computer implemented method for processing a plurality of medical indication conditions on a computer that includes a processor communicatively coupled to a memory includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters, and forming a plurality of conditional segments based on respective values of the plurality of parameters defined in the plurality of predetermined indication conditions. Each conditional segment of the plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of the plurality of parameters. The plurality of predetermined indication conditions includes a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner.

Abstract: A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.

Abstract: Method and apparatus for processing medical data. The method for processing indication conditions includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters and forming a plurality of conditional segments based on respective values of the plurality of parameters, which respectively correspond to a plurality of combinations of value ranges of the plurality of parameters. The method for processing patient data includes obtaining distribution information of the patient data in the plurality of conditional segments formed above and determining a matching relationship of patient data with at least one indication condition. The apparatuses correspond to the methods.

Abstract: Marine seismic sources for exploring formations under the seafloor using reflection seismology include ghost attenuators for reducing or eliminating ghost signals. Such a ghost attenuator is located in the water above an individual source element and 5 water surface and is configured to dissipate energy of up-going signals and/or to redirect the up-going signals.

Abstract: A method for estimating a time variant signal representing a seismic source obtains seismic data recorded by at least one receiver and generated by the seismic source, the recorded seismic data comprising direct arrivals and derives the time variant signal using an operator that relates the time variant signal to the acquired seismic data, the operator constrained such that the time variant signal is sparse in time.

Abstract: Systems and methods for boosting low content of received signals involve a vessel (102) towing port side (205) and starboard side (210) impulsive source arrays. The port side and starboard side impulsive source arrays are selectively actuated for a plurality of sequential shots having different signatures.

Abstract: A method, system and computer program product are disclosed for recommending terms in a document based on a specified interaction with the document. In one embodiment, the method comprises displaying a document on a device; detecting a specified interaction with the document displayed on the device; identifying text associated with the specified interaction with the document displayed on the device; performing object recognition with the identified text to recognize one or more defined interested objects; and recommending terms in the document based on the recognized defined interested objects. In an embodiment, the object recognition includes identifying one or more objects from the text, and performing the object recognition with these objects to recognize the one or more interested objects. In an embodiment, one or more terms are extracted from the text, and these terms are partitioned to identify the one or more objects from the text.

Abstract: A method, a disambiguation decoder and a system is provided for disambiguation in concept identification. A set of candidate concepts of a surface form in a sequence of surface forms in a plaintext is obtained. First probabilities for the candidate concepts are then determined, wherein a first probability indicates likelihood that the surface form represents the respective candidate concept. One of the candidate concepts is selected for the surface form based on the first probabilities and adjacency of the surface forms in the sequence.

Abstract: A method, a disambiguation decoder and a system is provided for disambiguation in concept identification. A set of candidate concepts of a surface form in a sequence of surface forms in a plaintext is obtained. First probabilities for the candidate concepts are then determined, wherein a first probability indicates likelihood that the surface form represents the respective candidate concept. One of the candidate concepts is selected for the surface form based on the first probabilities and adjacency of the surface forms in the sequence.

Abstract: Systems and techniques for blockchain-based reputation tracking in an online marketplace include and/or are configured for: receiving a rate reputation request, the rate reputation request relating to a transaction attempt between at least two entities in the online marketplace; determining a plurality of reputation factors; and determining a reputation adjustment for one or more of the entities participating in the transaction attempt. The reputation adjustment is based at least in part on one or more of the reputation factors, which include: validity of the transaction attempt to which the rate reputation request relates; historical proportion of transactions conducted between the at least two entities participating in the transaction attempt; historical proportion of reputation currency transferred between the entities participating in the transaction attempt; and/or confidence of the validator node with respect to the entities.

Abstract: A method, a system and a computer program product for searching a knowledge base and finding top-k meaningful paths for different concept pairs input by a user in linked open data utilizing the degree of association between concepts as the weight of the two concepts in a knowledge graph and to find the top-k shortest path as meaningful paths. A large corpus is used to train the association of different concept pairs. A deep learning based framework is used to learn a concept vector to represent the concept and the cosine similarity of the concept vector and an input concept vector indicating the degree of association of the vectors as the weight of these two concepts in the knowledge graph. The top-k meaningful paths are determined based on the weights and the shortest paths are provided for use by users as the meaningful paths.

Abstract: The arrangement of air-gun subarrays is controlled by adjusting a geometric parameter, such as, an inline distance, an attack angle and/or a cross-line position for one or more subarrays. The adjustment is performed to achieve a target energy distribution for signals emitted by the air-gun subarrays.