%0 Journal Article %1 citeulike:422090 %A Popov, Borislav %A Kiryakov, Atanas %A Kirilov, Angel %A Manov, Dimitar %A Ognyanoff, Damyan %A Goranov, Miroslav %D 204 %I Cambridge University Press %J Journal of Natural Language Engineering %K ontology sip semanticinfusion %N 3-4 %P 375--392 %T KIM – Semantic Annotation Platform %U http://www.ontotext.com/publications/KIM_SAP_ISWC168.pdf %V 10 %X The KIM platform provides a novel Knowledge and Information Management infrastructure and services for automatic semantic annotation, indexing, and retrieval of documents. It provides mature infrastructure for scaleable and customizable information extraction (IE1) as well as annotation and document management, based on GATE2. In order to provide basic level of performance and allow easy bootstrapping of applications, KIM is equipped with an upper-level ontology and a knowledge base providing extensive coverage of entities of general importance. The ontologies and knowledge bases involved are handled using cutting edge Semantic Web technology and standards, including RDF(S) repositories, ontology middleware and reasoning. From technical point of view, the platform allows KIM-based applications to use it for automatic semantic annotation, content retrieval based on semantic restrictions, and querying and modifying the underlying ontologies and knowledge bases. This paper presents the KIM platform, with emphasize on its architecture, interfaces, tools, and other technical issues.

@article{citeulike:422090, abstract = {The KIM platform provides a novel Knowledge and Information Management infrastructure and services for automatic semantic annotation, indexing, and retrieval of documents. It provides mature infrastructure for scaleable and customizable information extraction (IE1) as well as annotation and document management, based on GATE2. In order to provide basic level of performance and allow easy bootstrapping of applications, KIM is equipped with an upper-level ontology and a knowledge base providing extensive coverage of entities of general importance. The ontologies and knowledge bases involved are handled using cutting edge Semantic Web technology and standards, including RDF(S) repositories, ontology middleware and reasoning. From technical point of view, the platform allows KIM-based applications to use it for automatic semantic annotation, content retrieval based on semantic restrictions, and querying and modifying the underlying ontologies and knowledge bases. This paper presents the KIM platform, with emphasize on its architecture, interfaces, tools, and other technical issues.}, added-at = {2006-06-16T10:34:37.000+0200}, author = {Popov, Borislav and Kiryakov, Atanas and Kirilov, Angel and Manov, Dimitar and Ognyanoff, Damyan and Goranov, Miroslav}, biburl = {https://www.bibsonomy.org/bibtex/2686ccf01af21894098e66a40fd270785/ldietz}, citeulike-article-id = {422090}, comment = {"8 KIM Front-Ends The KIM API allows the implementation of various front-end tools providing access to the KIM Server functionality and infrastructure. We have created a web user interface (KIM Web UI) allowing traditional (key word search), as well as semantic access methods (entity search, pattern search.) Along with these the KIM Web UI generic content management and IR functionality allows indexing and storing of semantically annotated content. The entity and pattern searches return either a set of entities that satisfy the query, either a set of documents that refer to these entities. One could see the content with the associated metadata on the document level (title, author, etc.) The resulting entities are highlighted in the content and linked to their semantic descriptions in the KB. KIM is also equipped with a plug-in (Fig. 6) for the Internet Explorer browser. It provides light-weight semantic annotations delivery to the end user. On its first tab, the plug-in displays the entity type hierarchy (a branch of the KIM ontology). For each entity type there is an associated color used for highlighting the annotations of this type. Check boxes for each entity, allow the user to select the entity types of interest. Upon invoking annotation of the current browser content, the plug-in extracts the text of the currently displayed document and sends it to an Annotation Server which is in its turn using the KIM Server Semantic Annotation API. The servers return the annotations with their offsets, type and instance information. The annotations are highlighted in the content (in the color of the respective entity type), and are hyperlinked to the KIM KB Explorer (Fig. 6.) On the second tab of the plugin, there is a list of all the recognized entities for the current document, sorted by appearance frequency. Upon choosing from the list of entities, or following a hyperlink over an annotated entity in the text the user invokes the KIM KB Explorer, a web-form which provides a view of the part of the KB and the ontology that are directly related to the chosen entity (incl. type, aliases, relations, and attributes). This way, the user could easily navigate from the named entity annotations to the instances that they are linked to in the KB. Via this explorer, the KB could be further explored by choosing one of the related entities, or the entity type." --- Features: <li> Colors recognized entities according to its entity-types (e.g. sea, location) <li> Provides popups for each entity with more information from the KB <li> ranks the entities (or entity types) according to frequencies <li> Can process new text on the fly Software: Builds on GATE, Lucene, Sesame --- It seems to me, that the authors did not continue their work on semantic infusion --- http://nlp.shef.ac.uk/dot.kom/pdocs/semann.pdf States: "KIM [26] uses information extraction techniques to build a large knowledge base of annotations. The annotations in KIM are metadata in the form of named entities (people, places etc.) which are defined in the KIMO ontology and identified mainly from reference to extremely large gazetteers. This is restrictive, and it would be a significant research challenge to extend the KIM methodology to domain specific ontologies. However named entities are a class of metadata with broad usage and the KIM platform is well placed to showcase the kinds of retrieval and data analysis services that can be provided over large knowledge bases of annotations. For example, the KIM server is able to use a variety of plug in front ends, including one for Microsoft’s Internet Explorer, a Web UI that provides different semantic search services, and a graph viewer for exploring the connections between entities."}, interhash = {8754698a3f4b3270ca4b221fa1237664}, intrahash = {686ccf01af21894098e66a40fd270785}, journal = {Journal of Natural Language Engineering}, keywords = {ontology sip semanticinfusion}, month = {September}, number = {3-4}, pages = {375--392}, priority = {0}, publisher = {Cambridge University Press}, timestamp = {2006-06-16T10:34:37.000+0200}, title = {KIM – Semantic Annotation Platform}, url = {http://www.ontotext.com/publications/KIM_SAP_ISWC168.pdf}, volume = 10, year = 204 }