Patent application number | Description | Published |
20090094020 | Recommending Terms To Specify Ontology Space - In one embodiment, a set of target search terms for a search is received. Candidate terms are selected, where a candidate term is selected to reduce an ontology space of the search. The candidate terms are to a computer to recommend the candidate terms as search terms. In another embodiment, a document stored in one or more tangible media is accessed. A set of target tags for the document is received. Terms are selected, where a term is selected to reduce an ontology space of the document. The terms are sent to a computer to recommend the terms as tags. | 04-09-2009 |
20090094231 | Selecting Tags For A Document By Analyzing Paragraphs Of The Document - In one embodiment, assigning tags to a document includes accessing the document, where the document comprises text units that include words. The following is performed for each text unit: a subset of words of a text unit is selected as candidate tags, relatedness is established among the candidate tags, and certain candidate tags are selected according to the established relatedness to yield a candidate tag set for the text unit. Relatedness between the candidate tags of each candidate tag set and the candidate tags of other candidate tag sets is determined. At least one candidate tag is assigned to the document according to the determined relatedness. | 04-09-2009 |
20090094233 | Modeling Topics Using Statistical Distributions - In one embodiment, modeling topics includes accessing a corpus comprising documents that include words. Words of a document are selected as keywords of the document. The documents are clustered according to the keywords to yield clusters, where each cluster corresponds to a topic. A statistical distribution is generated for a cluster from words of the documents of the cluster. A topic is modeled using the statistical distribution generated for the cluster corresponding to the topic. | 04-09-2009 |
20090094262 | Automatic Generation Of Ontologies Using Word Affinities - In one embodiment, generating an ontology includes accessing an inverted index that comprises inverted index lists for words of a language. An inverted index list corresponding to a word indicates pages that include the word. A word pair comprises a first word and a second word. A first inverted index list and a second inverted index list are searched, where the first inverted index list corresponds to the first word and the second inverted index list corresponds to the second word. An affinity between the first word and the second word is calculated according to the first inverted index list and the second inverted index list. The affinity describes a quantitative relationship between the first word and the second word. The affinity is recorded in an affinity matrix, and the affinity matrix is reported. | 04-09-2009 |
20090204609 | Determining Words Related To A Given Set Of Words - In one embodiment, display of a user entry window of a graphical user interface is initiated. Search terms entered into the user entry window to initiate a first search are received. One or more first search results from a corpus of documents are determined according to the search terms. Display of the search terms at a current search terms window of the graphical user interface is initiated. Display of the first search results at a search results window of the graphical user interface is initiated. Display of the first search suggestions at a search suggestion window of the graphical user interface is initiated. | 08-13-2009 |
20090259636 | Facilitating Display Of An Interactive And Dynamic Cloud Of Terms Related To One Or More Input Terms - According to certain embodiments, facilitating display of terms includes facilitating display of a graphical user interface. One or more first input terms entered into a user entry window of the graphical user interface are received. One or more first output terms related to the first input terms are determined. Display of a first graphical cloud comprising the first output terms is facilitated. The first input terms are modified to yield one or more second input terms. One or more second output terms related to the second input terms are determined. Display of a second graphical cloud comprising the second output terms is facilitated. | 10-15-2009 |
20100125809 | Facilitating Display Of An Interactive And Dynamic Cloud With Advertising And Domain Features - According to certain embodiments, display of a graphical cloud of a graphical user interface is facilitated. The graphical cloud comprises a user entry field and a domain interface. A set of input terms entered into the user entry field are received. A selected domain entered into the domain interface is received. One or more output terms related to the input terms and specific to the selected domain are determined. Display of the graphical cloud comprising the output terms is facilitated. | 05-20-2010 |
20100211534 | Efficient computation of ontology affinity matrices - In one embodiment, generating an ontology includes accessing an inverted index comprising a plurality of inverted index lists. An inverted index list may correspond to a term of a language. Each inverted index list may comprise a term identifier of the term and one or more document identifiers indicating one or more documents of a document set in which the term appears. The embodiment also includes generating a term identifier index according to the inverted index. The term identifier index comprises a plurality of sections and each section corresponds to a document. Each section may comprise one or more term identifiers of one or more terms that appear in the document. | 08-19-2010 |
20100217742 | Generating A Domain Corpus And A Dictionary For An Automated Ontology - According to one embodiment, generating a domain corpus includes accessing a knowledge base. The knowledge base comprises a set of articles. Each article corresponds to a particular topic and comprises one or more terms that link to other articles corresponding to other topics. A first set of first articles is selected from the knowledge base for a domain corpus. A second set of second articles related to the first set of first articles is identified. The second set of second articles is selected from the knowledge base for the domain corpus. The domain corpus is made available to access. | 08-26-2010 |
20100217764 | Generating A Dictionary And Determining A Co-Occurrence Context For An Automated Ontology - According to one embodiment, generating a dictionary and determining a co-occurrence context includes accessing a domain corpus comprising articles. Each article corresponds to a particular topic and comprises one or more terms that link to one or more other articles corresponding to one or more other topics. Each topic is designated as a term to yield a dictionary. A co-occurrence context is defined for the domain corpus. At least two terms appearing in the co-occurrence context are considered co-occurring. Co-occurrences among the terms are calculated according to the co-occurrence context. | 08-26-2010 |