44 results about "Web Services Discovery" patented technology

A system and method for capturing a plurality of business requirements using a Business Process Outsourcing Language (BPOL), an XML representation for expressing business process flow rules, preferences, business rules and event-action mappings as well as service links, to automate the process of generating business processes for use with Web services. BPOL is used to dynamically construct a search script for an advanced Web services discovery engine to find Web services from both UDDI registries and Web services Inspection Language (WSIL) documents and then create a qualified service list. Then a service selection problem is mapped into a solution space {0,1} for use by an optimization algorithm that performs second level service selection of the best set of services based on the requirements.

A system and method for capturing a plurality of business requirements using a Business Process Outsourcing Language (BPOL), an XML representation for expressing business process flow rules, preferences, business rules and event-action mappings as well as service links, to automate the process of generating business processes for use with Web services. BPOL is used to dynamically construct a search script for an advanced Web services discovery engine to find Web services from both UDDI registries and Web services Inspection Language (WSIL) documents and then create a qualified service list. Then a service selection problem is mapped into a solution space {0,1} for use by an optimization algorithm that performs second level service selection of the best set of services based on the requirements.

An apparatus and method is provided to dynamically search for available Web services by persistently searching a distributed multi-level UDDI registry chain, interrogating their published technical specifications and enabling the consumer to find, bind, and invoke the desired Web service in real-time and without intervention by the consumer. The search criteria includes identifying candidate published services that fall within an acceptable margin of error based on information previously published within a consumer service profile. The measure of conformance between the registry semantic map and consumer service profile is parameterized and chosen by the consumer in advance. The service profile includes an XML schema which exposes consumer profile metadata and corresponding information sets used by a rules engine for pattern matching purposes.

A method (and structure) of querying one or more Web-based data sources, includes receiving a compound query statement having at least one first-level query and at least one aggregation operator. An aggregation operator is determined which applies to each first-level query. Each aggregation operator can be either explicit or implicit. An implicit aggregation operator is an aggregation operator defining a default aggregate operation if no explicit aggregation operator is present.

An apparatus and method is provided to dynamically search for available Web services by persistently searching a distributed multi-level UDDI registry chain, interrogating their published technical specifications and enabling the consumer to find, bind, and invoke the desired Web service in real-time and without intervention by the consumer. The search criteria includes identifying candidate published services that fall within an acceptable margin of error based on information previously published within a consumer service profile. The measure of conformance between the registry semantic map and consumer service profile is parameterized and chosen by the consumer in advance. The service profile includes an XML schema which exposes consumer profile metadata and corresponding information sets used by a rules engine for pattern matching purposes.

A method (and structure) of querying one or more Web-based data sources, includes receiving a query statement including at least one query, parsing the input query to identify a target data source for each query, and dispatching each query to a respective one of the data sources for a target data source search. The query statement further includes an aggregate operator defining at least one logical operation to be performed on a result returned from the target data source searches.

A data processing system includes a server computer and at least one client device. The server computer includes means for providing a central web service, the central web service having a central web service address. An interface means receives a web service request addressed to the central web service address from the client device and forwards the web service request to one of a plurality of alternative web services selected by the central web service. The client device includes means for storing the central web service address and means for generating the web service request. An interface means at the client sends the web service request to the central web service address, and receives a web service response from the one of the plurality of alternative web services selected by the central web service.

A method (and structure) of querying one or more Web-based data sources, includes receiving a query statement including at least one query, parsing the input query to identify a target data source for each query, and dispatching each query to a respective one of the data sources for a target data source search.

The invention provides an implementation method of Web service discovery based on neural network clustering optimization, and the method provided by the invention is used for rapidly and accurately discovering Web service satisfying user requirements under an open network environment. In the method provided by the invention, a service request subsystem, a service providing subsystem, a service registration center and a service discovery intermediary subsystem are utilized, wherein the service discovery intermediary subsystem is the core component of the system and comprises a service showing module, a service classifying module and a service matching module. According to the invention, the semanteme Web service discovery primary system of clustering optimization is realized; the evaluating result on the true Web service data set shows that the implementation method ensures relatively higher service discovery efficiency and precision, and the method is easy to implement; the system is flexible, and the cost is low; and the method is easy to popularize.

The invention discloses a web service discovery method based on a memorization service cluster mapping catalogue. According to the web service discovery method, services with the same or similar function are gathered to build a service cluster, the services in the service cluster are classified according to the service cluster mapping catalogue, and the purpose that the services in the service cluster change from the unordered state to the order state is achieved. According to a service cluster parameter matrix, services, with the catalogue items corresponding to a service chain list, in the mapping catalogue are sequenced, a virtual service group is provided, and a memorization service chain list is further provided. According to the organization structure of the memorization service cluster mapping catalogue, a new service cluster parameter matrix corresponding to the memorization service cluster mapping catalogue is provided; on the basis of the memorization service cluster mapping catalogue and the new service cluster parameter matrix corresponding to the memorization service cluster mapping catalogue, the semantic Web service discovery method based on the memorization service cluster mapping catalogue is provided, and therefore after a specific service cluster is positioned, a Web service meeting the requirement can be returned more quickly.

The invention discloses a semantic sparse Web service discovery method based on Gaussian LDA and word embedding, and specifically relates to the technical field of service computing. The method specifically comprises the following steps in order: collecting a Web service description document, preprocessing the collected Web service description document, obtaining characteristic vocabularies in the Web service description document, preprocessing the vocabularies in the Web service description document, and obtaining a set of a group of prototype words; using a word embedded training model Word2Vec to train the set of the prototype words obtained in step 1, and obtaining a continuous vector representation of each word in the set of the prototype words; using a Gaussian LDA model to train the set of the prototype words obtained in step 1, and acquiring each Web service hierarchical structure; enriching user query by using a set of continuous vectors obtained in step 2 by training, and obtaining extended user query; and using the service hierarchical structure obtained in step 2 and using a probability ranking method to obtain query output corresponding to the extended user query.

The present invention discloses an information aggregation method facing total system information management based on circumstances and semantics. The method comprises the steps of: achieving an information registration discovery mechanism, performing RDF description of air control business information according to a metadata model, analyzing business circumstance factors such as air control application targets, user demands, behaviors, time and places, constructing a circumstance model based on a body, when a user demands object information, associating with the circumstance model, automatically performing Web service discovery through a circumstances and semantic tag matching algorithm, combining mapping tables on a word list and the body to achieve matching of the basic description attributes, quality attributes and function attributes to associate with the corresponding data, and finally, after information aggregation fusion, forming business object information products meeting thecircumstances. The information aggregation method facing total system information management based on circumstances and semantics can achieve data cross-domain information sharing between different interested parties of the air control to construct a uniform information coordination environment and form a uniform situation perception capacity.

A uniform approach for web service discovery is provided through common auto-discovery logic for cloud-based or enterprise-based deployments for a specific web service. Appropriate credentials may be applied employing a uniform method using an appropriate authentication scheme for on-premise, fully hosted, or partially hosted auto-discovered web services. A common interface may be implemented even if the protocols for discovery differ from service to service or between cloud-based deployment and enterprise-based deployment for the same service. Web service locations auto-discovered through different protocols may be cached for subsequent use.

The invention discloses an ontological learning method applicable to Web service description. The method comprises the following steps of, firstly, collecting Web service description documents, obtaining input and output parameters in the documents and preprocessing every input and output parameter; secondly, utilizing an hHDP (h heuristic dynamic programming) algorithm to generate levels of a subject through a top-bottom learning method; thirdly, utilizing a sampling method of 'Chinese restaurant problem' to estimate the subject of every level; lastly, obtaining a representative word to construct an initial ontological body and enhancing the semantics of the ontological body through semantic enhancing rules to form a final ontological body. The ontological learning method applicable to Web service description has the advantages of having good universality by generating the ontological body for Web service unsupervised learning with WSDL (web services description language) description; being capable of finding out implicit semantic level relationship and meanwhile guaranteeing the richness of the learned ontological semantics through the semantic enhancing rules, thereby having good ontological learning effects; being capable of supporting Web service discovery and recommendation and having wide applicability due to the fact that the learning ontological body can serve for Web service semantic annotation.

The invention discloses a web service discovery method and device. The method includes: receiving a web service discovery request from a user; querying the user's request through a search engine on the basis of a WSDL index, and returning a queried web service list to the user. A WSDL file is established on the basis of web services on internet. The web service discovery method and device has the advantages that web services can be searched accurately and widely.

The invention discloses a semantic-based Web service automatic searching method, which comprises the following steps of: 1) extracting the description information of Inputs, Outputs, Preconditions and Effects of a Web service; 2) matching the description information of the Inputs and the Outputs to obtain matching results; 3) matching the description information of the Preconditions and the Effects to obtain the matching results; and 4) performing comprehensive analysis on the matching results obtained by the steps 2) and 3) to obtain a final matching result. By the method, Web service discovery can be effectively realized, so that all Java-supporting Internet accessing terminals can perform automatic service discovery; and gaps in the field in China are filled, and positive impacts are certainly brought on the development of Web service technologies and Web service products.

The invention relates to a Web service discovery method based on a knowledge graph and a similarity network. The Web service discovery method mainly comprises the following steps: respectively obtaining a word embedding matrix, an entity embedding matrix and a theme embedding matrix by using Word2Vec, knowledge graph embedding and LDA; performing matrix alignment on the theme embedding matrix, theword embedding matrix and the entity embedding matrix; s300, taking the aligned theme embedding matrix, word embedding matrix and entity embedding matrix as input of a CNN (Convolutional Neural Network) so as to extract deep service description information, i.e., a feature vector of user service; and calculating similarity scores of the feature vectors of the user services and the feature vectorsof all the stored services, performing sorting from high to low according to the similarity scores, and outputting the stored services corresponding to the top k before the similarity scores as discovery results. Experiments show that the method provided by the invention is superior to the existing method in various evaluation indexes.

The invention relates to a web service evolution system in a mobile network environment. Service evaluation sub-modules of different types are arranged in the system and can evaluate the whole web service operation process from web service discovery to web service transfer. Web service protocols are packaged by the system, performance conditions of same services in different web service protocols can be compared and can be further compared in different granularities. An evaluation record management module is arranged in the system to individually extract a performance parameter collection module in an evaluation process, and evaluation performance parameter collection ports are unified.

The invention provides a semantic sparse web service discovery method based on Gaussian ATM and word embedding, which is performed in the following order: collecting a Web service description document, parsing the collected Web service description document, obtaining a feature vocabulary in the Web service description document, preprocessing the vocabulary in the Web service description document to obtain a set of prototype words; using a word embedding training model Word2Vec to train the set of the prototype words to obtain a continuous vector representation of each word in the set of the prototype words; using the set of the prototype words obtained via the Gaussian ATM model to train, and obtaining each Web service hierarchical structure; using the set of continuous vectors obtained bytraining to enrich user query, and obtaining an extended user query; using the obtained service hierarchical structure and using the probability ranking method to obtain query output corresponding tothe extended user query. The method provided by the invention can realize accurate and efficient Web service discovery.

In an approach to problem determination for cooperating web services, a computing device executes a debug script. The computing device discovers one or more web services based on a web service discovery mechanism. The computing device connects, by the debug daemon, with a debug probe to set a breakpoint on a web service. The computing device receives a file containing connection parameters. The computing device initiates a debug session with the web service using a designated connection channel. The computing device invokes a breakpoint handler function for the web service. The computing device sends commands to the debug probe, which forwards the debug commands to the web service. The computing device closes the debug session with the web service when the breakpoint handler function has run to completion.

The invention discloses a goal-oriented RESTful Web service discovery method. The method comprises the steps of firstly collecting information (particularly functional text description) of RESTful Web services, and performing domain division on Web service sets; secondly constructing a domain knowledge base in the Web service set of each domain, wherein the domain knowledge base comprises a Web service-service goal assignment matrix, service goal clusters and the like; and finally based on the constructed domain knowledge base, recommending service goals with semantic similarity for a given user query, and then matching a service goal set selected by a user with a service goal set of the Web services to obtain a candidate Web service set. According to the method, the RESTful Web services meeting a user requirement goal can be accurately discovered; the method has very high practicality; and by recommending the service goals with the semantic similarity for an initial query of the user, the user can be assisted in making a high-quality query meeting the user demand.

An embodiment of the invention includes an apparatus, which includes a mediator operable to receive a user request and to transmit a user response; and a dynamic knowledge base including a web service classifier and a domain-relevant ontology. The mediator is operable to transform the user request into a web service request, using said dynamic knowledge base, and to transform a web service response into the user response, using the dynamic knowledge base. Optionally, the dynamic knowledge base includes a web service interface operation index. Optionally, the web service interface operation index includes an autonomous, dynamic web service interface operation index or a static web service interface operation index.

In an approach to problem determination for cooperating web services, a computing device executes a debug script. The computing device discovers one or more web services based on a web service discovery mechanism. The computing device connects, by the debug daemon, with a debug probe to set a breakpoint on a web service. The computing device receives a file containing connection parameters. The computing device initiates a debug session with the web service using a designated connection channel. The computing device invokes a breakpoint handler function for the web service. The computing device sends commands to the debug probe, which forwards the debug commands to the web service. The computing device closes the debug session with the web service when the breakpoint handler function has run to completion.

In an approach to problem determination for cooperating web services, a computing device executes a debug script. The computing device discovers one or more web services based on a web service discovery mechanism. The computing device connects, by the debug daemon, with a debug probe to set a breakpoint on a web service. The computing device receives a file containing connection parameters. The computing device initiates a debug session with the web service using a designated connection channel. The computing device invokes a breakpoint handler function for the web service. The computing device sends commands to the debug probe, which forwards the debug commands to the web service. The computing device closes the debug session with the web service when the breakpoint handler function has run to completion.

Unified web service discovery is disclosed. A unified approach to web service discovery is provided through common auto-discovery logic for cloud-based or enterprise-based deployments of specific web services. Appropriate credentials can be applied using a unified approach that uses an appropriate authentication scheme for an on-premise, fully managed or partially managed autodiscovered web service. Even though the protocols used for discovery differ from service to service, or between cloud-based and enterprise-based deployments of the same service, a common interface can still be implemented. The web service locations automatically discovered through different protocols can be cached for subsequent use.

The invention belongs to the field of WEB service discovery, in particular to an ontology tree coding method based on the equal length of the same parent and child nodes. The method can be divided into three steps: A. describing and analyzing the concept of ontology for topological sorting; B. carrying out binary coding on the ontology tree of the same length as the parent and the child node countaccording to the topological sorting sequence; C. conceptual preservation of the corresponding encoding. The invention provides an ontology tree coding method based on the equal bit length of the same parent and child nodes, so as to overcome the inefficiency of the semantic-based Web service discovery method.

The invention provides a Web service discovery method based on comprehensive semantics, which comprises the following steps of extracting a user request and service center text information, performing semantic similarity processing on a text, matching the user request with the service center text according to comprehensive semantic similarity, and returning a service result of which the comprehensive semantic similarity meets the requirement to a user, the method is characterized in that when semantic similarity processing is carried out, part-of-speech conversion is carried out on adjectives or adverbs in Wordnet into nouns, and a part-of-speech conversion relation is established. Web service applications develop rapidly, but a large number of huge and redundant Web service applications are filled in the network, in a current semantic-based Web service discovery method, when the semantic similarity is calculated, the network is difficult to establish between different parts of speech of a Wordnet semantic network, the accuracy is low, the false rate of I / O interface similarity is high, texts and I / O interface information are difficult to comprehensively and fully utilize, therefore, the problem that the accuracy of the pushed service is low is effectively solved.

The invention provides a Web service discovery method based on comprehensive semantics, which extracts user requests and service center text information, performs semantic similarity processing on the texts, matches user requests with service center texts according to comprehensive semantic similarity, and compares comprehensive semantic similarity The service results that meet the requirements are returned to the user, and the feature is that when the semantic similarity is processed, the adjective or adverb in Wordnet is converted into a noun, and a part-of-speech conversion relationship is established. Web service applications are developing rapidly, but a large number of large and complicated Web service applications are flooding the Internet. In the current semantic-based Web service discovery method, when calculating semantic similarity, it is difficult to establish a network between different parts of speech in the Wordnet semantic network and the accuracy is low. , the false-true rate of the I / O interface similarity is high, and it is difficult to make full use of text and I / O interface information, so that the accuracy of the pushed service is low. The present invention effectively solves the above problems.

The present invention discloses a Web service discovery method based on label sparse learning. The goal of Web service discovery method based on label sparse learning is to break through a status that a single current service data source is used, making full use of the discovery process of a text information optimization service. The method comprises: first extracting a service description file and associated label text information by using an open source tool; then mining a hidden relationship between the service description file and label by using a sparse model tool, and finally achieving a precise label prediction function by optimizing learning. According to the method, the text features of WSDL are sufficiently mined to improve the accuracy of label prediction; furthermore, the Web service discovery method based on label sparse learning can response personalized query requests of multiuser in real time by using a two-stage hybrid intelligent algorithm, and the produced label prediction list is beneficial to improving the effectiveness of Web service discovery.

The invention discloses an ontological learning method applicable to Web service description. The method comprises the following steps of, firstly, collecting Web service description documents, obtaining input and output parameters in the documents and preprocessing every input and output parameter; secondly, utilizing an hHDP (h heuristic dynamic programming) algorithm to generate levels of a subject through a top-bottom learning method; thirdly, utilizing a sampling method of 'Chinese restaurant problem' to estimate the subject of every level; lastly, obtaining a representative word to construct an initial ontological body and enhancing the semantics of the ontological body through semantic enhancing rules to form a final ontological body. The ontological learning method applicable to Web service description has the advantages of having good universality by generating the ontological body for Web service unsupervised learning with WSDL (web services description language) description; being capable of finding out implicit semantic level relationship and meanwhile guaranteeing the richness of the learned ontological semantics through the semantic enhancing rules, thereby having good ontological learning effects; being capable of supporting Web service discovery and recommendation and having wide applicability due to the fact that the learning ontological body can serve for Web service semantic annotation.