Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules. An advertiser can sponsor the term. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically identifying a term of interest and building a term database with supplemental content from an assigned source for that term. A term can be selected by applying various rules. An advertiser can sponsor the term, for example, by having an advertisement window automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. Data objects that represent the contents of the database and templates are syndicated to remote servers running a processing engine. The processing engine uses these data objects to execute linking rules without requiring a connection to the database.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in.

Abstract: A method and apparatus automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works.

Abstract: A method and apparatus are disclosed which automatically build a database by automatically assigning links to an expert, pushing content to an expert, providing expert annotation, and linking the content to an annotation database. A term is selected by applying rules, such as, the term not previously existing in the database, an unusually high frequency of the term, the term is an article or the term is an unusual part of speech. An advertiser can sponsor the term, for example, by having a banner ad automatically pop-up on a keyword search. Content windows can be attached to the term, the content window containing information such as definitions, related products or services, sponsorship information, information from content syndicators, translations and reference works. A utility is available to the expert that allows the expert to analyze the term in context by extending or reducing the sentence or paragraph the word is contained in.

Abstract: A system for indexing displayed elements that is useful for accessing and understanding new or difficult materials, in which a user highlights unknown words or characters or other displayed elements encountered while viewing displayed materials. In a language learning application, the system displays the meaning of a word in context; and the user may include the word in a personal vocabulary to build a database of words and phrases. In a Japanese language application, one or more Japanese language books are read on an electronic display. Readings (`yomi`) for all words are readily viewable for any selected word or phrase, as well as an English reference to the selected word or phrase. Extensive notes are provided for difficult phrases and words not normally found in a dictionary. A unique indexing scheme allows word-by-word access to any of several external multi-media references.

Abstract: An information processing apparatus by which characters can be inputted easily. Characters of another language corresponding to an alphabetical character, for example, e of the English-USA language, such as, for example, characters e with an acute accent, e with a grave accent, e with a circumflex accent and e with an umlaut of the French language, are stored in a character table ROM. When a character key for the character e is manually operated, the alphabetical character e is displayed on a display unit. Then, each time a character conversion key is manually operated, the displayed character is successively converted into the characters corresponding to the character e.

Abstract: A system for indexing displayed elements that is useful for accessing and understanding new or difficult materials, in which a user highlights unknown words or characters or other displayed elements encountered while viewing displayed materials. In a language learning application, the system displays the meaning of a word in context; and the user may include the word in a personal vocabulary to build a database of words and phrases. In a Japanese language application, one or more Japanese language books are read on an electronic display. Readings (‘yomi’) for all words are readily viewable for any selected word or phrase, as well as an English reference to the selected word or phrase. Extensive notes are provided for difficult phrases and words not normally found in a dictionary. A unique indexing scheme allows word-by-word access to any of several external multi-media references.

Abstract: A system for indexing displayed elements that is useful for accessing and understanding new or difficult materials, in which a user highlights unknown words or characters or other displayed elements encountered while viewing displayed materials. In a language learning application, the system displays the meaning of a word in context; and the user may include the word in a personal vocabulary to build a database of words and phrases. In a Japanese language application, one or more Japanese language books are read on an electronic display. Readings (‘yomi’) for all words are readily viewable for any selected word or phrase, as well as an English reference to the selected word or phrase. Extensive notes are provided for difficult phrases and words not normally found in a dictionary. A unique indexing scheme allows word-by-word access to any of several external multi-media references.