Searching Ontologies Based on Content: Experiments in the Biomedical Domain

As more ontologies become publicly available, finding the "right" ontologies becomes much harder. In this paper, we address the problem of ontology search: finding a collection of ontologies from an ontology repository that are relevant to the user's query. In particular, we look at the case when users search for ontologies relevant to a particular topic (e.g., an ontology about anatomy). Ontologies that are most relevant to such query often do not have the query term in the names of their concepts (e.g., the Foundational Model of Anatomy ontology does not have the term "anatomy" in any of its concepts' names). Thus, we present a new ontology-search technique that helps users in these types of searches. When looking for ontologies on a particular topic (e.g., anatomy), we retrieve from the Web a collection of terms that represent the given domain (e.g., terms such as body, brain, skin, etc. for anatomy). We then use these terms to expand the user query. We evaluate our algorithm on queries for topics in the biomedical domain against a repository of biomedical ontologies. We use the results obtained from experts in the biomedical-ontology domain as the gold standard. Our experiments demonstrate that using our method for query expansion improves retrieval results by a 113%, compared to the tools that search only for the user query terms and consider only class and property names (like Swoogle). We show 43% improvement for the case where not only class and property names but also property values are taken into account

Visual Information Retrieval in Endoscopic Video Archives

In endoscopic procedures, surgeons work with live video streams from the inside of their subjects. A main source for documentation of procedures are still frames from the video, identified and taken during the surgery. However, with growing demands and technical means, the streams are saved to storage servers and the surgeons need to retrieve parts of the videos on demand. In this submission we present a demo application allowing for video retrieval based on visual features and late fusion, which allows surgeons to re-find shots taken during the procedure.Comment: Paper accepted at the IEEE/ACM 13th International Workshop on Content-Based Multimedia Indexing (CBMI) in Prague (Czech Republic) between 10 and 12 June 201

Towards a more natural and intelligent interface with embodied conversation agent

Conversational agent also known as chatterbots are computer programs which are designed to converse like a human as much as their intelligent allows. In many ways, they are the embodiment of Turing's vision. The ability for computers to converse with human users using natural language would arguably increase their usefulness. Recent advances in Natural Language Processing (NLP) and Artificial Intelligence (AI) in general have advances this field in realizing the vision of a more humanoid interactive system. This paper presents and discusses the use of embodied conversation agent (ECA) for the imitation games. This paper also presents the technical design of our ECA and its performance. In the interactive media industry, it can also been observed that the ECA are getting popular

ReferralWeb--a resource location system guided by personal relations

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.Includes bibliographical references (p. 47-[48]).by Mehul A. ShahM.Eng

The U.S. Newspaper Industry in Transition

[Excerpt] The U.S. newspaper industry is suffering through what could be its worst financial crisis since the Great Depression. Advertising revenues are plummeting due to the severe economic downturn, while readership habits are changing as consumers turn to the Internet for free news and information. Some major newspaper chains are burdened by heavy debt loads. In the past year, seven major newspaper chains have declared bankruptcy, several big city papers have shut down, and many have laid off reporters and editors, imposed pay reductions, cut the size of the physical newspaper, or turned to Web-only publication. As the problems intensify, there are growing concerns that the rapid decline of the newspaper industry will impact civic and social life. Already there are fewer newspaper reporters covering state capitols and city halls, while the number of states with newspapers covering Congress full-time has dwindled to 23 from the most recent peak of 35 in 1985. As old-style, print newspapers decline, new journalism startups are developing around the country, aided by low entry costs on the Internet. The emerging ventures hold promise but do not have the experience, resources, and reach of shrinking mainstream newspapers. Congress has begun debating whether the financial problems in the newspaper industry pose a public policy issue that warrants federal action. Whether a congressional response to the current turmoil is justified may depend on the current causes of the crisis. If the causes are related to significant technological shifts (the Internet, smart phones and electronic readers) or societal changes that are disruptive to established business models and means of news dissemination, the policy options may be quite limited, especially if new models of reporting (and, equally important, advertising) are beginning to emerge. Governmental policy actions to bolster existing businesses could stall or retard such a shift. In this case, policymakers might stand back and allow the market to realign news gathering and delivery, as it has many times in the past. If, on the other hand, the current crisis is related to the struggle of some major newspapers to survive the current recession, possible policy options to ensure the continuing availability of in-depth local and national news coverage by newspapers might include providing tax breaks, relaxing antitrust policy, tightening copyright law, providing general support for the practice of journalism by increasing funding for the Corporation for Public Broadcasting (CPB) or similar public programs, or helping newspapers reorganize as nonprofit organizations. Policymakers may also determine that some set of measures could ease the combination of social and technological transition and the recession-related financial distress of the industry

Searching for the Semantic Internet

Search engines, directories and web browsers all deal with the Internet at the level of individual web-pages. We argue that this is too low a level of resolution for many, including the non-casual surfer, who has detailed knowledge of his/her topic of interest. We present the shopping-mall metaphor that is based on identifying tightly integrated communities of web pages, where pages procure information from each other via hyperlinks. A search operation identifies these web-page communities, rather that individual web-pages, and the communities are visualised as a Virtual Reality shopping mall - for presentation on a VRML enabled web browser. Each information outlet (shop) can contain multiple information “products” (pages) gathered around a common theme. The metaphor serves to integrate both search and visualisation phases, presenting a coherent information collection to the user - regardless of the search domain