Abstract: Provided is a deployment platform for deployment of an industrial application on an edge computing device, ECD, connected to the controller of a machine tool, MT, the deployment platform including a model management component, MMC, adapted to instantiate a generic machine tool model, GMTM, stored in a memory to provide a machine instance model, MIM, of the respective machine tool, MT, on the basis of a machine tool data report, MTDR, received by the model management component, MMC, from the edge computing device, ECD, of the respective machine tool, MT, and further adapted to convert generic data requirements, gR, of a generic industrial application into machine tool specific requirements, mtsR, using the machine instance model, MIM, of the respective machine tool, MT, wherein an instantiated industrial application for the machine tool, MT, is provided by instantiating the generic industrial application by extending its configuration data with machine tool specific requirements.

Abstract: A method and system for automatic maintenance of a machine (2) comprising the steps of receiving (S1) at least one maintenance relevant event (E) from a controller (3) of the machine (2); augmenting (S2) the received event (E) with the event's machine context read from a machine maintenance ontology; matching (S3) the event's machine context with maintenance rules to generate at least one maintenance task (T) comprising an associated task description; and providing (S4) a maintenance schedule for the machine (2) assigning the generated maintenance task (T) to suitable maintenance executing entities (5) on the basis of the task description of the respective maintenance task (T).

Abstract: An object recognition apparatus for automatic detection of an abnormal operation state of a machine including a machine tool operated in an operation space monitored by at least one camera configured to generate camera images of a current operation scene is provided. The generated camera images are supplied to a processor configured to analyze the current operation scene using a trained artificial intelligence module to detect objects present within the current operation scene. The processor is also configured to compare the detected objects with objects expected in an operation scene in a normal operation state of the machine to detect an abnormal operation state of the machine.

Abstract: Provided is a deployment platform for deployment of an industrial application on an edge computing device, ECD, connected to the controller of a machine tool, MT, the deployment platform including a model management component, MMC, adapted to instantiate a generic machine tool model, GMTM, stored in a memory to provide a machine instance model, MIM, of the respective machine tool, MT, on the basis of a machine tool data report, MTDR, received by the model management component, MMC, from the edge computing device, ECD, of the respective machine tool, MT, and further adapted to convert generic data requirements, gR, of a generic industrial application into machine tool specific requirements, mtsR, using the machine instance model, MIM, of the respective machine tool, MT, wherein an instantiated industrial application for the machine tool, MT, is provided by instantiating the generic industrial application by extending its configuration data with machine tool specific requirements.

Abstract: An object recognition apparatus for automatic detection of an abnormal operation state of a machine including a machine tool operated in an operation space monitored by at least one camera configured to generate camera images of a current operation scene is provided. The generated camera images are supplied to a processor configured to analyze the current operation scene using a trained artificial intelligence module to detect objects present within the current operation scene. The processor is also configured to compare the detected objects with objects expected in an operation scene in a normal operation state of the machine to detect an abnormal operation state of the machine.

Abstract: A method and system for automatic maintenance of a machine (2) comprising the steps of receiving (S1) at least one maintenance relevant event (E) from a controller (3) of the machine (2); augmenting (S2) the received event (E) with the event's machine context read from a machine maintenance ontology; matching (S3) the event's machine context with maintenance rules to generate at least one maintenance task (T) comprising an associated task description; and providing (S4) a maintenance schedule for the machine (2) assigning the generated maintenance task (T) to suitable maintenance executing entities (5) on the basis of the task description of the respective maintenance task (T).

Abstract: A method and an apparatus for tracking changes in a collection of web documents, for example, provided by a web site. The web documents are retrieved at a first assigned point in time and a second assigned point in time. Then a similarity measure for a combination of a retrieved web document at a first assigned point in time and a retrieved web document at a second assigned point in time is calculated for determining pairs of corresponding web documents. By comparing said calculated similarity measure of a pair of corresponding web documents with predetermined thresholds for the similarity measure a change in the content of the corresponding web document between the first assigned point in time and second assigned point in time is detected. Instead of referring to identifiers like URLs for web pages the content similarities of web pages are considered. The proposed strategy facilitates the work of marketing analysts.

Abstract: In a plurality of sub-systems, a respective sub-system processes data according to a logic system specific to the respective sub-system. At least some of the sub-systems respectively include at least one acquisition unit which is configured in such a way that it acquires information relating to the processed data of the respective sub-system and converts it into a predefined data structure which is the same for at least some of the sub-systems. the acquisition units are connected to a common analysis unit which during operation of the communication system receives information from the acquisition units relating to the processed data in the predefined data structure and analyzes it in relation to predefined criteria.

Abstract: The method of administering a knowledge repository described herein establishes combining data input with concurrent data analytics in order to improve the quality and relevance of data entries.

Abstract: The invention provides a novel method and apparatus for analyzing a communication network such as a computer network or a social network comprising nodes communicating with each other by means of messages. A topic discovery unit is provided for performing a topic discovery on the basis of a message content which can be formed by textual content. A segmentation unit performs a segmentation of a global network graph representing the communication network into topic sub-graphs depending on the discovered topics. A property calculation unit calculates intra-topic network properties and inter-topic network properties of the network nodes. An advantage is that a deeper understanding of the analyzed communication network can be achieved such as communications patterns to identify roles of participating nodes. The method and apparatus according to the present invention can be used to optimize the organization of any communication network.

Abstract: The method of administering a knowledge repository described herein establishes combining data input with concurrent data analytics in order to improve the quality and relevance of data entries.

Abstract: A method of retrieving information regarding an information resource, has the steps of: providing an information resource with a plurality of information instances from a first memory unit; providing a knowledge model with a plurality of type categories and a relationship between at least two type categories from a second memory unit; providing a multi-dimensional context model with a plurality of context categories and a number of dimensions corresponding to a number of the context categories from a third memory unit; annotating an information instance by one of the type categories; mapping at least one type category and/or annotating at least one information instance by one of the context categories; and; assigning a context variable to one of the context categories, the context variable determining a value of a context distance between the context category and the information instance mapped to the context category.

Abstract: A method for estimating a sentiment conveyed by the content of information sources towards an entity is presented. The sentiment is obtained with respect to a query context that may be specified, e. g. by specific terms or expressions, like a product or service name. A sentiment dictionary having a plurality of sentiment terms is provided, wherein each sentiment term has assigned a sentiment value, and at least one of said sentiment terms is associated to a group context. Text documents are screened for occurrences of sentiment terms that are associated to a group context corresponding to the query context. Calculating a sentiment score value is performed as a function of the occurrences of sentiment terms having a similar or same group context as the query context. The method may be carried out automatically without manual analysis of the actual semantic content of the text documents under consideration.

Abstract: Computer-based method of detecting the guidance performance of an information driven web site for a user seeking a desired content, wherein a transition value is assigned to each click based on the effectiveness and efficiency of transition between web pages of such web site, and an indicator value is determined by combining these values into a metric, which reflects guidance performance of such web site.

Abstract: A method and an apparatus for estimating a prestige of an entity, as for example a firm, company or name, is disclosed wherein a score value is assigned to an entity as a function of an occurrence of terms associated with said entity in search results. The search results are obtained by searching an information space such as the internet. This enables, for example, companies or divisions, to infer their public standing from an analysis of search results obtained through internet search engines. It is possible to compare a plurality of entities with respect to each other in an automated fashion.

Abstract: A method for estimating a sentiment conveyed by the content of information sources towards an entity is presented. The sentiment is obtained with respect to a query context that may be specified, e.g. by specific terms or expressions, like a product or service name. A sentiment dictionary having a plurality of sentiment terms is provided, wherein each sentiment term has assigned a sentiment value, and at least one of said sentiment terms is associated to a group context. Text documents are screened for occurrences of sentiment terms that are associated to a group context corresponding to the query context. Calculating a sentiment score value is performed as a function of the occurrences of sentiment terms having a similar or same group context as the query context. The method may be carried out automatically without manual analysis of the actual semantic content of the text documents under consideration.

Abstract: Computer-based method of detecting the guidance performance of an information driven web site for a user seeking a desired content, wherein a transition value is assigned to each click based on the effectiveness and efficiency of transition between web pages of such web site, and an indicator value is determined by combining these values into a metric, which reflects guidance performance of such web site.

Abstract: A method and an apparatus for tracking changes in a collection of web documents, for example, provided by a web site. The web documents are retrieved at a first assigned point in time and a second assigned point in time. Then a similarity measure for a combination of a retrieved web document at a first assigned point in time and a retrieved web document at a second assigned point in time is calculated for determining pairs of corresponding web documents. By comparing said calculated similarity measure of a pair of corresponding web documents with predetermined thresholds for the similarity measure a change in the content of the corresponding web document between the first assigned point in time and second assigned point in time is detected. Instead of referring to identifiers like URLs for web pages the content similarities of web pages are considered. The proposed strategy facilitates the work of marketing analysts.

Abstract: A method and apparatus for comparing entities, such as companies or trademarks, based on available pricing and feature information regarding goods or services provided by the companies. Web services, e.g. price finding robots, are employed to obtain pricing and feature information for similar products from different companies. Products having similar features but derive from different companies can be grouped to clusters and be analyzed with respect to average pricing levels. Data formats for pricing and feature information stemming from different web services may be automatically retrieved and mapped into a common format. The method allows to evaluate systematic deviations in the company's pricing policies or to detect if companies do not have a matching product portfolio. One can also estimate the prestige or acceptance of a company or brand as a function of prices tolerated by the underlying market. This may facilitate marketing strategies.

Abstract: A method and an apparatus for estimating a prestige of an entity, as for example a firm, company or name, is disclosed wherein a score value is assigned to an entity as a function of an occurrence of terms associated with said entity in search results. The search results are obtained by searching an information space such as the internet. This enables, for example, companies or divisions, to infer their public standing from an analysis of search results obtained through internet search engines. It is possible to compare a plurality of entities with respect to each other in an automated fashion.