Abstract: A method, apparatus and program for completing a knowledge graph from a plurality of predicates and associated entities, the predicates each providing information on a relationship between a pair of entities, the method comprising the steps of: receiving an input comprising the plurality of predicates and associated entities; searching an axiom database and identifying predicates among the plurality of predicates that are equivalent to one another, or inverses of one another; identifying further predicates that are related to one another, using the axiom database and identified predicates; and embedding the identified predicates and associated entities into a vector space to complete the knowledge graph.

Abstract: A system for calculating similarities between drugs and using the similarities to extrapolate side effects of a specified drug comprising: a similarity-computation apparatus configured to use open data to compute similarities between drugs, with: a data integration module configured to obtain data related to a set of drugs from a plurality of open data sources and to integrate the data to generate RDF triples; an RDF module configured to store an RDF graph of the RDF triples: and a similarity calculation module configured to retrieve a list of all the drugs present in the RDF graph and to calculate the similarity of each drug with every other drug in the RDF graph, for storage in a similarity database; and a side effect determining apparatus configured to extrapolate side effects of a specified drug from open data related to the set of drugs, with: a connection to the similarity database; a user interface configured to allow a user to specify a drug from the set of drugs; a neighbours ranking module configure

Abstract: A method, apparatus and program for completing a knowledge graph from a plurality of predicates and associated entities, the predicates each providing information on a relationship between a pair of entities, the method comprising the steps of: receiving an input comprising the plurality of predicates and associated entities; searching an axiom database and identifying predicates among the plurality of predicates that are equivalent to one another, or inverses of one another; identifying further predicates that are related to one another, using the axiom database and identified predicates; and embedding the identified predicates and associated entities into a vector space to complete the knowledge graph.

Abstract: A discovery informatics system is arranged to produce a graph based on a corpus of textual documents, the graph including documents in the corpus as nodes, with links between the nodes annotated by connecting concepts, the connecting concepts directly and indirectly connecting the documents.

Abstract: A Data Constraint Engine (100) for enforcing data constraints in a polyglot data tier (20) having a plurality of database-specific data stores (21, 22, 23) of various types such as an RDBMS (21), a Triplestore (22), and a MongoDB (23). The Data Constraint Engine uses the concept of a unified data model based on “records” in order to allow data constraints to be defined (using so-called “record shapes”) in a store-agnostic way. The Data Constraint Engine includes APIs (130) for processing incoming requests from remote clients (30) relating to data in the polyglot data tier, for example a request to create or update data in a data store. The APIs extract, from such a request, a record corresponding to the data specified in the request and a data source identifier identifying the data store holding the specified data. Then, on the basis of the record extracted by the interface, an appropriate record shape is extracted from a shapes catalogue (110), the record shape determining the structure of the record.

Abstract: A system for calculating similarities between drugs and using the similarities to extrapolate side effects of a specified drug comprising: a similarity-computation apparatus configured to use open data to compute similarities between drugs, with: a data integration module configured to obtain data related to a set of drugs from a plurality of open data sources and to integrate the data to generate RDF triples; an RDF module configured to store an RDF graph of the RDF triples: and a similarity calculation module configured to retrieve a list of all the drugs present in the RDF graph and to calculate the similarity of each drug with every other drug in the RDF graph, for storage in a similarity database; and a side effect determining apparatus configured to extrapolate side effects of a specified drug from open data related to the set of drugs, with: a connection to the similarity database; a user interface configured to allow a user to specify a drug from the set of drugs; a neighbours ranking module configure

Abstract: A query mediator arranged to query a polyglot data tier of data stores, each data store adopting a data model and the polyglot data tier including at least two different types of data store with differing data models. The query mediator including at least one HTTP API; a catalogue containing metadata for each data store; and a plurality of adapters, one for each data model. The API receives an incoming query from a client, checks the query against the catalogue to identify a correct data store storing the queried data, and routes the query to an adapter for the correct data store. The adapter transforms the query into a format suitable for use with the data model adopted in the correct data store, for execution by the relevant data store. The API returns the query result to the client in response to the incoming query.